JP6669965B2 - Information processing apparatus, information processing apparatus control method, and program - Google Patents

Description

The present invention relates to an information processing apparatus, a method of controlling an information processing apparatus, and relates to a program.

  Conventionally, CT (Computed Tomography) and MRI (Magnetic)

  A patient is photographed by a medical imaging device such as Resonance Imaging, and a medical image obtained by the photographing is interpreted. When interpreting a medical image, a person in charge of the sorting work (hereinafter, clerk) assigns a request for image interpretation in consideration of the field and schedule of each image interpreting doctor. In other words, the clerk takes the time and effort because the clerk decides based on his own experience and manually assigns the interpretation request. In addition, when the experience of the clerk is insufficient, the assignment of the interpretation request is biased, and the load distribution among the interpretation doctors is not properly achieved.

  In Patent Literature 1, the received schedule information of a plurality of doctors is managed, a medical image is received from a remote place, a doctor who interprets the medical image is automatically assigned based on the schedule information, and the doctor is distributed via a communication line. The mechanism is disclosed.

JP 2002-329190 A

  However, in Patent Literature 1, an interpretation request is simply assigned automatically in consideration of a schedule of an interpretation doctor. In particular, there is a case where a plurality of doctors are in charge of one interpretation request and each interprets the image. In such a case, the interpretation results may be different among a plurality of interpretation doctors, and there is a problem that the requester does not know which interpretation results to trust.

  SUMMARY OF THE INVENTION It is an object of the present invention to provide a mechanism capable of determining a radiologist to perform further interpretation when a plurality of interpretation results are different.

In order to achieve the above object, an information processing device of the present invention has the following configuration. In other words, in the primary interpretation according to the interpretation request, the first acquisition unit that acquires the first interpretation result input by the first interpretation doctor, and in the secondary interpretation according to the interpretation request, Second acquisition means for acquiring the input second interpretation result, and when the acquired first interpretation result and the acquired second interpretation result are different , tertiary interpretation according to the interpretation request And generating means for generating information for determining a third interpreting doctor to perform the above.

  According to the present invention, when a plurality of interpretation results are different, an interpretation doctor can be determined to perform further interpretation.

FIG. 1 is a diagram illustrating an example of a system configuration according to an embodiment. FIG. 2 is a diagram illustrating an example of a hardware configuration of the information processing apparatus according to the embodiment. FIG. 2 is a diagram illustrating an example of a functional configuration of a remote image interpretation server according to the embodiment. Overall flowchart. 9 is a flowchart of a request application process. 9 is a flowchart of a process for setting initial values of distribution characteristics. 9 is a flowchart of a request reception process. 9 is a flowchart of a request distribution process. 9 is a flowchart of an automatic distribution process. 9 is a flowchart of an automatic distribution process. The figure which shows an example of a request facility work list screen. The figure which shows an example of a request application screen. The figure which shows an example of an interpretation work list screen. The figure which shows an example of a request reception screen. The figure which shows an example of a specialty setting screen. The figure which shows an example of a request distribution screen. The figure which shows the example of a display of the automatic distribution result on a request distribution screen. The figure which shows the example of a structure of a test type table. The figure which shows the example of a structure of a site | part table. The figure which shows the structural example of a classification table. The figure which shows the structural example of a distribution characteristic master table. The figure which shows the example of a structure of a number-of-sheets point addition table. The figure which shows the example of a structure of a point setting table. The figure which shows the example of a structure of the distribution characteristic mapping table. The figure which shows the example of a structure of a specialty table. The figure which shows the example of a structure of the interpretation doctor exclusion table. The figure which shows the example of a structure of the interpretation doctor schedule table. The figure which shows the example of a structure of a request information table. The figure which shows the state after sorting of the request information table. The figure which shows the state after distribution of the request information table. The figure which shows an automatic distribution determination result. The figure which shows the image after the automatic distribution of the interpretation doctor schedule. The figure which shows an example of a distribution setting screen. 9 is a flowchart of a request distribution process according to the second embodiment. The figure which shows an example of the request distribution screen which concerns on 2nd embodiment. 9 is a flowchart of an automatic distribution process according to the second embodiment. 9 is a flowchart of an interpretation result confirmation process. The figure which shows an example of the work list screen waiting for confirmation. The figure which shows an example of an interpretation result confirmation screen. The figure which shows an example of the request distribution screen concerning the modification of 2nd Embodiment. 15 is a flowchart of an image interpretation result confirmation process according to a modification of the second embodiment. The figure which shows an example of the distribution setting screen concerning 3rd Embodiment. The figure which shows the example of a structure of a report management table. 13 is a flowchart of an image interpretation result confirmation process according to the third embodiment. The figure which shows an example of the distribution setting screen concerning the modification of 3rd Embodiment. 15 is a flowchart of an image interpretation result confirmation process according to a modification of the third embodiment.

  <First embodiment>

Hereinafter, an embodiment of the present invention will be described in detail with reference to the drawings. The configuration shown below is an example, and the present invention is not limited to these configurations.
[System configuration]

  FIG. 1 shows an example of the overall configuration of a remote image reading system as an information processing system according to the present embodiment. In the present embodiment, the remote image interpretation system includes a data center, a requesting facility, an image interpretation center, and a doctor's home as each site, and each site is communicably connected via a network 115.

  Each user who uses the remote interpretation system authenticates by the authentication function provided by the authentication server 116 at the time of starting access from the PCs (109, 112, 113, 114) which are client terminals located at the respective bases. After successful authentication, a portal screen (not shown) provided by the portal server 102 is presented to the user. In addition, the user can exchange messages between users using the SNS server 104.

  At the requesting facility, image data (medical image data) used for remote interpretation is captured by the modality 111, which is an imaging device (medical image device), and then transmitted to the image relay client 110. The image data here includes, for example, DICOM (Digital Imaging and Communication in Medicine) format image data. The image relay client 110 archives the image data transmitted from the modality 111, and then transmits it to the image relay server 107 located in the data center. The image relay server 107 processes the image data transmitted from the requested facility, and transmits the processed image data to the storage management server 105. The storage management server 105 issues a unique ID (identification information) for each image data, and stores it in the external storage device 117. The person in charge of the interpretation request of the requested facility inputs necessary information (request information) at the time of requesting the image interpretation using the request terminal 109, and the request information is transmitted to the data center together with the image data. Each request information is stored in the database 108 on the data center side. In this specification, the request information and the image data correspond to each other, and the distribution of the request information is treated as the distribution of the image data.

  The image interpreting doctor who performs image interpretation uses the image interpretation terminal 113 arranged at the image interpretation center (or the image interpretation terminal 114 arranged at home) to transmit the image interpretation image data corresponding to the assigned image interpretation request to the distribution server 106. Download from and refer to and perform image interpretation. Thereafter, the interpreting physician creates a report of the interpretation result using an application (not shown) operating on the interpretation terminal 113. The created report is transmitted to the report server 103 and stored in the database 108. Here, the example of the image interpretation center and the home of the image interpretation doctor are shown as the image interpretation terminals, but they may be arranged at any place or may be referred to using a mobile terminal or the like.

  FIG. 2 is a diagram illustrating an example of a hardware configuration of an information processing apparatus such as various servers and terminals. The CPU 201 generally controls each device and controller connected to the system bus 204. The ROM 202 or the external memory 211 stores a BIOS (Basic Input / Output System), an operating system (OS), and various programs necessary for realizing the functions of each terminal.

  The RAM 203 functions as a main memory, a work area, and the like for the CPU 201. The CPU 201 implements various operations by loading programs and the like necessary for executing processing from the ROM 202 or the external memory 211 into the RAM 203 and executing them. The input controller 205 controls inputs from a keyboard (KB) 209 and a pointing device (not shown) such as a mouse. The video controller 206 controls display on a display 210 such as a liquid crystal display.

  The memory controller 207 controls access to the external memory 211 that stores various data and the like. Examples of the external memory 211 include an external storage device (HD), a flexible disk (FD), and a card-type memory connected to a PCMCIA card slot via an adapter. The communication I / F controller 208 performs connection and communication control with external devices via a network (for example, the network 115 illustrated in FIG. 1). The communication I / F controller 208 is capable of performing communication using TCP / IP, for example.

Various programs for realizing the present invention are recorded in the external memory 211 and are executed by the CPU 201 by being loaded into the RAM 203 as necessary. Further, a definition file and various information tables used when the program is executed are also stored in the external memory 211, and a detailed description thereof will be described later.
[Function configuration]

  FIG. 3 is a diagram illustrating a configuration example of functions of the remote image interpretation server 101 according to the present embodiment.

  Upon receiving a request for data necessary for displaying a request application screen or the like from the request terminal 109 located at the request facility, the remote interpretation server 101 analyzes the request with the request search function 301. Then, the remote image interpretation server 101 searches the request information table 2700 included in the database 108 and returns display information (for example, a Web page) to the request terminal 109. That is, the request search function 301 is a functional unit that executes processes such as S202 and S402 in a process flow described below. Upon receiving the request for the request from the request terminal 109, the remote image interpretation server 101 analyzes the request with the request application function 302 and updates the request information table 2700 included in the database 108. That is, the request application function 302 is a functional unit that executes the processing of S101 in the processing flow described below.

Upon receiving a request for request reception from the request terminal 109, the remote image interpretation server 101 analyzes the request with the request reception function 303 and updates the request information table 2700 included in the database 108. That is, the request receiving function 303 is a functional unit that executes the processing of S102 in the processing flow described below. Upon receiving the request automatic distribution request from the request terminal 109, the remote image interpretation server 101 executes the request automatic distribution function 304. That is, data such as the request information table 2700, the specialty table 2400, and the interpreting doctor schedule table 2600 included in the database 108 are read, and automatic distribution is performed. Thereafter, the remote image interpretation server 101 returns the processing result to the request terminal 109. That is, the request automatic distribution function 304 is a functional unit that executes the processing of S103 in the processing flow described below. Upon receiving the request for sorting and saving from the request terminal 109, the remote image reading server 101 analyzes the request with the request update function 305 and updates the request information table 2700 included in the database 108.
[Processing flow]

  FIG. 4 is a diagram showing a flow of the entire processing according to the present embodiment. Here, only the request terminal 109 and the business terminal 112 which are the starting points of the processing are shown, but in each step, it is assumed that each terminal performs the processing in cooperation with the remote image interpretation server 101. In the present embodiment, it is assumed that the request terminal 109 and the business terminal 112 do not directly exchange data.

  Further, in the present embodiment, as described above, it is assumed that image data captured in advance by the modality 111 of the requested facility is transmitted to the data center and registered in the external storage device 117 at an appropriate time. In response to this, information (request information) of an image reading request corresponding to the image data is registered in the database 108 in groups such as patients, dates, and examination types. In the present embodiment, the request information is the request ID 2701, the status 2702, the requested facility ID 2703, the requested date 2704, the patient number 2705, the patient name 2706, the date of birth 2707, and the gender 2708 shown in the request information table 2700 in FIG. It is information including. The request information further includes an examination type ID 2709, a site ID 2710, an examination date 2711, a classification ID 2712, the number of images 2713, and an image interpretation method 2717. At the timing when the request information is registered from the modality 111, information other than the image interpretation method 2717 is registered. It is assumed that one request information is associated with one or a plurality of image data. In the registered state, it is assumed that no application for distribution has been made and that the status is “application waiting” and is managed in the database 108.

  In S101, request terminal 109 performs a request application process shown in FIG. 5 based on a user's instruction. The details of the request application process will be described later with reference to FIG.

  In S102, the business terminal 112 performs the request receiving process shown in FIG. 7 based on the user's instruction. Details of the request receiving process will be described later with reference to FIG.

In S103, the business terminal 112 performs the request distribution process shown in FIG. 8 based on the user's instruction. The details of the request distribution process will be described later with reference to FIG.
(Request application processing)

  FIG. 5 is a flowchart illustrating a request application process performed by the request terminal 109 and the remote image interpretation server 101 in cooperation with each other. The following processing is realized by the respective CPUs of the request terminal 109 and the remote interpretation server 101 reading and executing the programs stored in the respective storage units.

  In S201, the request terminal 109 displays the requested facility work list screen 1000 shown in FIG. 10 according to the user's instruction. The display here may be performed using a Web browser (not shown) provided in the request terminal 109, or may be displayed via a predetermined application. The request terminal 109 issues an instruction to the remote image interpretation server 101 to obtain request information whose status is “waiting for application” in order to obtain request information to be displayed on the requested facility work list screen 1000. Various statuses related to the request information will be described later together with a table.

  In step S202, the remote image interpretation server 101 returns, to the request terminal 109, request information whose status is “waiting for application” among the request information shown in FIG. Specifically, in the request information table 2700 shown in FIG. 27, request information in which the value of the state 2702 is “waiting for application” is returned. Then, the request terminal 109 displays the received request information on the requested facility work list screen 1000.

  In S203, request terminal 109 accepts the selection of request information to be applied from the user via request facility work list screen 1000. Specifically, by receiving designation of the display button 1001 on the requested facility work list screen 1000, selection of request information to be applied is received. Then, the request terminal 109 acquires the request ID 2701 of the request information of the selected application target.

  In S204, the request terminal 109 displays a request application screen 1100 shown in FIG. 11 to display the request information corresponding to the request ID 2701 acquired in S203. In the request application screen 1100, patient information, request information necessary for image interpretation (for example, patient's symptoms, etc.) are input. The input request information may be manually input by the requester, or may be automatically input according to the input of identification information such as the patient number 1103, or may specify an attached file.

  On the request application screen 1100 shown in FIG. 11, it is possible to further accept the selection of the interpretation method 1114. The interpretation method according to the present embodiment refers to whether a plurality of interpretation doctors are in charge of one request, and whether a plurality of interpretation doctors perform interpretation (diagnosis) in order from different viewpoints and purposes, or the same. It is possible to receive designation of performing image reading (diagnosis) in any order from the viewpoint and purpose. The interpretation method in which one interpretation doctor is in charge of one request is referred to as single interpretation in this embodiment. On the other hand, a plurality of interpreting doctors are in charge of one request, and a plurality of interpreting doctors sequentially perform interpretation (diagnosis) from different viewpoints / purposes in a multi-interpretation method (double interpretation when there are two interpreting doctors). Called. In addition, a plurality of interpreting doctors are in charge of one request, and a plurality of interpreting doctors perform interpretation (diagnosis) in the same viewpoint and purpose regardless of the order. A blind multi-interpretation method (when there are two interpreting doctors, Blind double interpretation).

  Multi-interpretation is characterized in that a plurality of interpreting doctors need to perform image interpretation in order (serial processing) and that the results of interpretation by other interpreting doctors can be viewed. Since this multi-interpretation is performed for the purpose of preventing an oversight of a medical condition or progress, the first interpretation must be performed in consideration of all possibilities, which is more difficult than the subsequent interpretation.

  On the other hand, the blind multi-interpretation is characterized in that a plurality of radiologists perform the interpretation in any order and that the interpretation results of other radiologists cannot be viewed. Since the blind multi reading is performed for the purpose of performing a double check (reconfirmation), the difficulty level does not differ depending on the reading order as in the above-described multi reading. The requesting facility selects such an image interpretation method in the image interpretation method 1114 according to the purpose or the like requested by itself.

  Hereinafter, the multi-interpretation and the blind multi-interpretation will be described as double image reading and blind double image reading where two image reading doctors perform image interpretation. It is also applicable when performing.

  In S205, request terminal 109 determines whether request application button 1113 has been pressed on request application screen 1100 or not. If the request application button 1113 has been pressed (YES in S205), the process proceeds to S206.

  In S206, request terminal 109 obtains request information including test type 1109, site 1110, and the like input on request application screen 1100.

  In S207, the request terminal 109 transmits the request information acquired in S206 to the remote image interpretation server 101.

  In S208, remote interpretation server 101 receives the request information transmitted from request terminal 109.

  In S210, the remote image interpretation server 101 updates the request information table 2700 with the request information received in S208, creates allocation frame information corresponding to the request information, and sets the initial value of the distribution characteristic set in S209. Add to allocation frame information. At this time, as the status of the request information, the value of the state 2702 becomes “waiting for reception”.

  The allocation frame information (allocation frame) is information indicating a frame for allocating one or a plurality of interpretation doctors to one piece of request information. If two pieces of allocation frame information are included in one request information, it is necessary to allocate two interpreting doctors to the request. If one request information has three pieces of allocation frame information, three reading doctors are allocated. It must be assigned to the request. For example, the request information for which “double” has been selected is an image reading request for performing double image reading, so two pieces of allocation frame information are created for one piece of request information. The method of creating the allocation frame information is as follows. The allocation frame information (allocation frame ID 2718, process No. 2719, distribution characteristic ID 2720, image interpretation date 2715, schedule ID 2721, image interpretation doctor ID 2716, image interpretation state 2722) corresponding to the request information registered (updated) in the request information table 2700 is required. Create as many as you want. For example, since the request information with the request ID 2701 of “1” in FIG. 27 is a request of “double reading”, it can be seen that two pieces of allocation frame information are generated. Then, numbers are stored in the assigned frame ID 2718 of the generated assigned frame information in ascending order according to the order of the assigned frame information. In the case of multi-interpretation, as in the case of the allocation frame ID 2718, numbers are stored in the process No. 2719 in ascending order according to the order of the allocation frame information. In the case of blind multi-image interpretation, “1” is stored in the process No. 2719 of all the generated allocation frame information. This step No. 2719 indicates the order of image interpretation. This is repeated for each request information. The one-to-one set of allocation frame information thus completed and request information corresponding to the allocation frame information is hereinafter referred to as request allocation frame information.

In S209, the remote image interpretation server 101 sets an initial value of the distribution characteristic for each piece of allocation frame information based on the request information received in S208. Details of the processing here will be described later with reference to FIG. Then, this processing flow ends.
(Process for setting initial values of distribution characteristics)

  FIG. 6 is a diagram illustrating a processing flow executed by the remote image interpretation server 101 to set the initial value of the distribution characteristic for each allocation frame information of the applied request information. This processing flow corresponds to the processing of S209 in FIG. In the present embodiment, information called distribution characteristics is used as information used when allocating interpretation data to each person in charge. The distribution characteristic is a parameter composed of a combination of an examination type (CT, MR, CR, etc.) and a site (head, chest, abdomen, etc.). The specific configuration of the distribution characteristics will be described together with the processing.

  In S301, the remote image interpretation server 101 includes, in the request information received from the request terminal 109 and the allocation frame information corresponding to the request information, information necessary for the mapping process for determining the initial value of the distribution characteristic. Is determined. Necessary information here includes the type of examination, site, classification, patient age, patient gender, and process number. If it is determined that necessary information is included (YES in S301), remote interpretation server 101 determines that initial values of the distribution characteristics can be set, and proceeds to S302. On the other hand, if it is determined that it is not included (NO in S301), the remote image interpretation server 101 determines that the initial value of the distribution characteristic cannot be set, and proceeds to S305.

  In S302, the remote interpretation server 101 sets all the values of the above-described examination type, region, classification, patient age, patient gender, and process No as condition values (keys) and stores the values shown in FIG. The distribution characteristic ID 2301 of the distribution characteristic mapping table 2300 is searched. Note that the patient age may be calculated from the examination date and the patient's birth date included in the request information.

  In S303, the remote image interpretation server 101 determines whether or not the number of the distribution characteristic ID 2301 detected in S302 is one. If the number of cases is one (YES in S303), the remote image interpretation server 101 determines that the mapping of the distribution characteristics has been successful, and proceeds to S304. If the number of cases is zero or two or more (NO in S303), the remote image interpretation server 101 determines that mapping of distribution characteristics has failed, and proceeds to S306.

  In S304, the remote image interpretation server 101 sets the one distribution characteristic ID 2301 retrieved in S303 in the distribution characteristic ID 2720 of the allocation frame information as an initial value. Thereafter, this processing flow ends. On the other hand, if a plurality of distribution characteristics are hit in S306, among the plurality of hit distribution characteristics, the distribution characteristic ID 2301 of the distribution characteristic whose order 2310 in the distribution characteristic mapping table 2300 is the smallest is It is set as an initial value in the distribution characteristic ID 2720 of the allocation frame information. If no hit is found as a result of the search, the allocation characteristic ID 2301 is not set in the allocation frame information. Thereafter, this processing flow ends.

Also in S305, the remote image interpretation server 101 ends this processing flow without setting the distribution characteristic ID 2301 in the allocation frame information.
(Request acceptance processing)

  FIG. 7 is a diagram illustrating a processing flow of a request receiving process performed by the business terminal 112 and the remote image interpretation server 101 in cooperation with each other. The following processing is realized by the CPU of each of the business terminal 112 and the remote image reading server 101 reading and executing a program stored in each storage unit.

  In S401, the business terminal 112 displays the interpretation work list screen 1200 shown in FIG. 12 according to the user's instruction. The display here may be performed using a Web browser (not shown) provided in the business terminal 112, or may be displayed via a predetermined application. The business terminal 112 instructs the remote image interpretation server 101 to acquire request assignment frame information whose status is “waiting for reception” in order to acquire request information and assignment frame information to be displayed on the interpretation work list screen 1200.

  In step S402, the remote image interpretation server 101 converts the request allocation frame information whose status is “waiting for reception” from the request allocation frame information shown in the request information table 2700 in FIG. Return to terminal 112. Then, the business terminal 112 displays the request information included in the received request allocation frame information on the interpretation work list screen 1200.

  In S403, the business terminal 112 accepts selection of request information to be accepted from the user via the interpretation work list screen 1200. Specifically, by receiving the specification of the display button 1201 on the interpretation work list screen 1200, the selection of the request information to be received is received. Then, the business terminal 112 acquires the request ID 2701 of the selected reception target.

  In S404, the business terminal 112 displays a request reception screen 1300 shown in FIG. 13 to display request allocation frame information including request information corresponding to the request ID acquired in S403. The request reception screen 1300 displays various information input when the request application is made. In the case of multi-interpretation or blind multi-interpretation, a plurality of request allocation frame information is hit, but request information common to these request allocation frame information is displayed on the request reception screen 1300.

  In S405, business terminal 112 displays a distribution characteristic selection list on request reception screen 1300. At this time, if the request information image interpretation method 2717 is multi-image interpretation, a distribution characteristic selection list is displayed for each allocation frame. In the example of FIG. 13, since the interpretation method 1315 is “double”, the primary interpretation distribution characteristic selection list 1313 which is the distribution characteristic of the primary interpretation, and the secondary interpretation distribution characteristic which is the distribution characteristic of the secondary interpretation. A selection list 1316 is displayed. In the case of multi-interpretation in which a plurality of interpreting doctors sequentially perform interpretation (diagnosis) from different viewpoints and purposes, as described above, the degree of difficulty may differ between the primary interpretation and the secondary interpretation. Therefore, different distribution characteristics can be set for each interpretation stage. On the other hand, in the case of blind multi image reading (eg, “blind double”) in which image reading (diagnosis) is performed regardless of order from the same viewpoint and purpose, the difficulty of image reading basically changes depending on the order (stage) of image reading. Since there is nothing, only one distribution characteristic selection list is displayed.

  In S406, the business terminal 112 sets the initial value of the distribution characteristic set in the process of FIG. 6 as a selection value in the distribution characteristic selection list of the request reception screen 1300. As a result, the user can use the distribution characteristic set as the initial value on the business terminal 112 without any particular setting work. In the case where the initial value is not set in the processing of FIG. 6, a display to the effect of selecting from a list may be displayed. Even when the initial value of the distribution characteristic is set, it can be changed by receiving a selection from the list.

  In S407, the business terminal 112 determines whether the request reception button 1314 has been pressed on the request reception screen 1300. If request acceptance button 1314 has been pressed (YES in S407), the flow shifts to S408.

  In S408, the business terminal 112 acquires the distribution characteristics input on the request reception screen 1300.

  In S409, the business terminal 112 transmits the distribution characteristics acquired in S408 to the remote image interpretation server 101.

  In S410, remote interpretation server 101 receives the distribution characteristics transmitted from business terminal 112.

In S411, the remote image interpretation server 101 stores the distribution characteristics received in S410 in the database 108 for each allocation frame. At this time, as the status of the request information, the value of the state 2702 is “distribution wait”. Then, this processing flow ends.
(Request distribution process)

  FIG. 8 is a diagram illustrating a processing flow of a request distribution process performed by the business terminal 112 and the remote image interpretation server 101 in cooperation with each other. The following processing is realized by the CPU of each of the business terminal 112 and the remote image reading server 101 reading and executing a program stored in each storage unit.

  In S501, the business terminal 112 displays the request distribution screen 1500 shown in FIG. 15 according to the user's instruction. The display here may be performed using a Web browser (not shown) provided in the business terminal 112, or may be displayed via a predetermined application. The request distribution screen 1500 includes an area for displaying a request information list 1501 indicating request allocation frame information for each allocation frame, and an area for displaying an image interpretation doctor schedule 1503. The business terminal 112 instructs the remote image interpretation server 101 to acquire the information in order to acquire the request assignment frame information and the image interpretation doctor schedule information to be displayed on the request distribution screen 1500.

  In S502, the remote image interpretation server 101 determines, from the request information table 2700 shown in FIG. 27, request assignment frame information in which the request information state 2702 is “distribution waiting” and the image interpretation doctor schedule table 2600 shown in FIG. Is returned to the business terminal 112. Then, the business terminal 112 displays the received request allocation frame information and the interpreting doctor schedule table 2600 on the request distribution screen 1500.

  In S503, the business terminal 112 acquires request allocation frame information indicating the allocation frame to be automatically allocated by the user via the request allocation screen 1500.

  In S504, the business terminal 112 determines whether the automatic distribution button 1504 has been pressed on the request distribution screen 1500. If the automatic distribution button has been pressed (YES in S504), the flow shifts to S505.

  In S505, the business terminal 112 transmits the request allocation frame information indicating the allocation frame to be automatically allocated acquired in S503 to the remote image interpretation server 101.

  In S506, the remote image interpretation server 101 receives the request allocation frame information indicating the allocation frame to be automatically allocated, transmitted from the business terminal 112.

  In step S <b> 507, the remote image interpretation server 101 performs an automatic distribution process on each request allocation frame information indicating an allocation frame to be automatically allocated, and determines an image interpretation doctor who performs image interpretation work related to the request, and the image interpretation date. Details of the processing in this step will be described later with reference to FIGS. 9A and 9B.

  In S508, the remote image interpretation server 101 transmits to the business terminal 112 the information on the result of the assignment regarding the image interpretation doctor and the image interpretation date set in S507.

  In step S <b> 509, the business terminal 112 displays, on the request distribution screen 1500, the information on the distribution result regarding the image interpretation doctor and the image interpretation date received from the remote image interpretation server 101. The business terminal 112 displays the information on the allocated interpreting doctor and the interpretation date in the request information list 1501 of the request distribution screen 1500 in association with the request allocation frame information indicating the allocation frame. Further, the business terminal 112 displays the number of distribution schedules for each date of each interpreting doctor on the interpreting doctor schedule 1503. FIG. 16 shows an image of the screen displayed after the sorting. The request distribution screen 1600 shown in FIG. 16 includes a save button 1604 for accepting the determination of the result of the automatic distribution, and a cancel button 1603 for accepting the cancellation.

  In S510, the business terminal 112 checks whether the save button 1604 has been pressed on the request distribution screen 1600. If save button 1604 has been pressed (YES in S510), the process moves to S512. If cancel button 1603 is pressed (NO in S510), the process moves to S511.

  In S511, the business terminal 112 discards the information on the distribution result received in S509. The information of the distribution result displayed on the request distribution screen 1600 is all returned to the state before display (that is, the state of FIG. 15). Then, this processing flow ends.

  In S512, the business terminal 112 transmits the information on the distribution result for which the user has received the determination instruction to the remote image interpretation server 101.

  In S513, the remote image interpretation server 101 receives the information on the distribution result from the business terminal 112.

In S514, the remote image interpretation server 101 updates the allocation frame information of the request allocation frame information stored in the database 108 by adding the information of the distribution result received in S513. At this time, the value of the state 2702 is “interpretation waiting” as the status of the request information included in the request allocation frame information for which the distribution result has been updated. Then, this processing flow ends.
(Automatic sorting process)

  9A and 9B are diagrams showing a processing flow of the automatic distribution performed by the remote image interpretation server 101, and correspond to the processing of S507 in FIG.

  First, description will be made with reference to FIG. 9A. In S601, the remote interpretation server 101 acquires various tables stored in the database 108. The tables used here are the distribution characteristic master table 2000, the number of points addition table 2100, the point setting table 2200, and the distribution characteristic mapping table 2300. Further, there are a specialty table 2400, an interpreter exclusion table 2500, and an interpreter schedule table 2600. Examples of the configuration of each table are shown in FIGS.

  In step S631, the remote image interpretation server 101 determines, among other request assignment frame information (assignment frames) having the same request information as the request assignment frame information to be automatically allocated, the request assignment frame information for which the radiologist has already determined. Is read from the request information table 2700. For example, when it is desired to determine an image interpretation doctor who is in charge of the secondary image interpretation, and if the image interpretation doctor of the primary image interpretation before the secondary image interpretation is determined, the request allocation frame information of the primary image interpretation is read. . As in the case of multi-interpretation, different interpreting doctors must be in charge of each interpretation operation, so such information is read in advance.

  In step S <b> 602, the remote image interpretation server 101 excludes, from the automatic allocation targets, the request allocation frame information for which the distribution characteristics are not set among the request allocation frame information to be automatically allocated. It is assumed that the distribution characteristics included in the request allocation frame information are set via the request reception screen 1300 shown in FIG. 13, but if the allocation frames do not correspond to the distribution characteristics registered in advance, the allocation characteristics are not set. I do. Therefore, such allocation frames cannot be automatically distributed using the distribution characteristics, and are therefore excluded from the automatic distribution targets in S602. Note that such an allocation frame may be manually allocated as in the related art. If there is such an allocation frame, a screen display or the like may be made to prompt the user (for example, an office clerk) to manually sort.

  In S603, the remote image interpretation server 101 sorts the request information included in each request allocation frame information to be automatically allocated in ascending order of the request date of the request information. In other words, as a result of the sorting, the request information located at the higher rank has higher priority and is preferentially distributed. The request date of the request information is the request date 2704 of the request information table 2700 in FIG. In addition, along with the sorting of the request information, the allocation frame information corresponding to the request information is also sorted while maintaining the correspondence with the request information. For example, as shown in FIG. 27, the request information and the allocation frame information have a one-to-N correspondence, so that when the request information moves to the first record with sorting, the request information corresponds to the request information. The allocation frame information also moves to the first record.

  In step S <b> 604, the remote image interpretation server 101 determines the number of image interpretation doctors that can correspond to the distribution characteristics included in the allocation frame information corresponding to the request information, for the result of the sorting performed in step S <b> 603 for the request date of the same day. Sort in ascending order. Also in the sorting in S604, the allocation frame information corresponding to the request information is sorted while maintaining the correspondence with the request information. Here, the number of interpreting doctors is determined based on the specialty table 2400 shown in FIG. By doing so, it is possible to reduce the possibility that the request assignment frame information having the distribution characteristic with a small number of interpreting doctors cannot be distributed.

  In S632, the remote image interpretation server 101 refers to the allocation frame information corresponding to the request information among the results sorted in S604, and sorts the request information in descending order of the process. The term “process” as used herein refers to the stage (step) of progress in performing image interpretation work for a certain request. For example, in the case of double image reading, the first image reading doctor performs image reading in the first step, and the image reading is performed by the second image reading doctor in the second step. On the other hand, in the case of blind double image reading, two image reading doctors perform image reading in the first step. Each of these steps is managed as a process.

  Since each allocation frame information corresponding to the request information includes the process No. 2719, the largest value of the process No. 2719 is set as the process length. For example, the request information with the request ID 2701 of “1” in FIG. 27 corresponds to two pieces of allocation frame information, and when referring to the process No. 2719 of each allocation frame information, “2” is the largest value. The process length of the request information is specified as “2”. The request information is sorted using the length of the process specified in this way. Also in the sorting in S632, the assignment frame information corresponding to the request information is sorted while maintaining the correspondence with the request information.

  By the sorting in S632, the request for the multiple interpretation is prioritized over the single interpretation and the blind multiple interpretation. Since the multi-image reading has a plurality of steps, the request must be distributed so that the (N + 1) -th image reading is performed on a schedule later than the date on which the N-th image reading is performed. Therefore, the timing at which all interpretations are completed is later than in single interpretation or blind multi-interpretation. In addition, if the interpretation doctor's schedule is filled by single interpretation or blind multi interpretation, the timing of completion of interpretation will be further delayed. In order to advance the timing of returning the interpretation result of the multi-interpretation to the request source, the request of the multi-interpretation is assigned with priority over the single interpretation and the blind multi-interpretation.

  In S633, the remote image interpretation server 101 refers to the allocation frame information corresponding to the request information among the results sorted in S632, and sorts the allocation frame information for each request information in ascending order of the process No. 2719. In other words, the request for the multi-interpretation is rearranged so that the sorting process is performed in order from the primary interpretation. If this is not done, for example, there will be a problem that the interpretation date of the secondary interpretation will be determined earlier at the present time, and the interpretation date of the primary interpretation cannot be set before the secondary interpretation. I do. As described above, in multi-image reading, it is necessary to observe the order of image reading. Therefore, such a problem is solved by sorting the allocation frame information in this order.

  For example, when the request information in the request information table 2700 is sorted in S603, S604, S632, and S633, the order is as shown by 2800 in FIG. In this way, the request date is earlier, the number of interpreting doctors capable of coping with the sorting characteristics is smaller, the multi-interpretation is performed, and those with the smaller process numbers are sorted in the order of the highest priority.

  In step S605, the remote image interpretation server 101 sets the loop counter N to 1 (N = 1) in order to sequentially execute the loop processing on the request assignment frame information sorted in step S604.

  In step S606, the remote image interpretation server 101 extracts the Nth request allocation frame information from the request allocation frame information sorted in step S604, and sets the extracted Nth request allocation frame information as a target distribution target.

  In S607, the remote image interpretation server 101 sets all of the image interpretation doctors included in the image interpretation doctor schedule table 2600 acquired in S601 as distribution candidate image interpretation doctors.

  In S608, the remote image interpretation server 101 refers to the specialty table 2400 acquired in S601, and sets the specialty setting value (distribution characteristic value) for the distribution characteristic of the extracted request assignment frame information to “0”. The interpreting physician who is present is excluded from the sorting candidate interpreting physicians set in S607. Here, the specialty setting value of the distribution characteristic is “0”, and the interpreting physician has specialized knowledge (specialty) for interpreting a medical image indicating the examination type and site of the distribution characteristic. It does not have. If the value is other than "0", it indicates that the skill level of the field increases as the value increases. The specialty setting value can be used not only to indicate the degree of the specialized knowledge possessed by the radiologist, but also as a degree of hope that indicates how much the radiologist wants to perform radiological interpretation in a predetermined field. That is, if the interpreting doctor sets the specialty setting value higher for a certain sorting characteristic, the request assignment frame information having the sorting characteristic is preferentially assigned to the interpreting doctor. In other words, if there is a distribution characteristic that the radiologist wants to interpret, the specialty setting value corresponding to this distribution characteristic may be set higher. In this way, it is also possible to use the specialty setting value as the degree of hope (priority) of the radiologist.

  In S634, the remote image interpretation server 101 refers to the assigned allocation frame information read in S631, and identifies the interpreting doctor already assigned in another allocation frame of the same request as the request allocation frame information extracted in S606. , Are excluded from the distribution candidate interpretation doctors. In the multiple image reading and the blind multi image reading, a plurality of image reading doctors must perform image reading once each time in view of the purpose of these image reading described above. That is, the same interpreting doctor cannot perform image interpretation a plurality of times. For example, there is no problem that the primary interpreter is in charge of the interpreting doctor A and the secondary interpreter is in charge of the interpreter B. However, if the primary interpreter and the secondary interpreter are in charge of the interpreting doctor A, the multi-interpretation and the blind multi The purpose of interpretation cannot be achieved. Therefore, in step S634, the doctor refers to another request allocation frame information corresponding to the same request as the request allocation frame information to be processed, and the image reading doctor set in the other request allocation frame information determines the request allocation frame information to be processed. It cannot be set as a doctor who interprets frame information. This solves the above-mentioned problem.

  In step S609, the remote image interpretation server 101 refers to the image interpretation doctor exclusion table 2500 acquired in step S601, and corresponds to the request facility included in the request assignment frame information extracted in step S606, and sets the image interpretation doctor set as an exclusion target. Are excluded from the sorting candidate interpretation doctors set in S608. That is, if an interpreting doctor who does not want the requesting facility to interpret the image is set in the interpreting doctor exclusion table 2500 in advance, the interpreting doctor does not have to take charge of the interpretation request from the requesting facility.

  The description moves to FIG. 9B. In S610, the remote image interpretation server 101 sets the loop counter D to “0” (D = 0) in order to sequentially perform the loop processing for each distribution target schedule in the image interpretation doctor schedule table 2600 acquired in S601.

  In S611, the remote interpretation server 101 sets the 1 + D-th schedule of the day as the distribution target schedule. The schedule in the present embodiment is indicated by a date and a time zone such as morning or afternoon as shown in FIG. Therefore, in this embodiment, the first schedule of the day is the morning of the day on which the automatic distribution process is performed, and the second schedule of the day is the afternoon of the day on which the automatic distribution process is performed. That's what it means. The third schedule of the day is the morning of the next day when the automatic sorting process is performed. It should be noted that the division of the time zone is not limited to the division such as morning and afternoon, but may be the division every hour or every three hours. The remote interpretation server 101 sets the current distribution candidate interpretation doctor as the distribution candidate interpretation doctor on the distribution target date.

  In S612, the remote image interpretation server 101 compares the distribution target schedule with the distribution schedule, and determines whether or not the distribution target schedule exceeds the distribution schedule. The sortable schedule here indicates, for example, a range from today to a predetermined number of days later. It should be noted that the sortable schedule may be set in advance by the user. If the schedule does not exceed the distribution available schedule (YES in S612), remote interpretation server 101 determines that a distribution target schedule exists, and shifts the processing to S635. On the other hand, if it exceeds (NO in S612), the remote image interpretation server 101 determines that the distribution target schedule does not exist, and shifts the processing to S619.

  In S635, the remote image interpretation server 101 determines, among the request allocation frame information of the same request as the request allocation frame information extracted in S606, the process No. 2719 having a value smaller by one than the process No. 2719 of the request allocation frame information extracted in S606. Identify the request allocation frame information possessed. Then, it is determined whether or not the distribution target schedule exceeds the image interpretation date 2715 of the specified request allocation frame information. If the distribution target schedule exceeds the image interpretation date 2715 of the specified request allocation frame information (YES in S635), the process proceeds to S613. If the distribution target schedule does not exceed the image interpretation date 2715 of the specified request allocation frame information (NO in S635), the process proceeds to S615. The process of S635 is a process for, in the case of multi-interpretation, preventing the interpretation of the post-process (for example, secondary interpretation) from being assigned earlier than the interpretation of the preceding process (for example, primary interpretation). By this processing, the order of the steps in the multi-interpretation can be matched with the order of the interpretation schedule, so that it is possible to suppress the occurrence of the problem that the secondary interpretation is performed before the primary interpretation. Become.

  In step S <b> 613, the remote image interpretation server 101 refers to the distribution target schedule in the interpretation doctor schedule, and the number of remaining image interpretations is 0 or the number of remaining image interpretation possible points is less than the request point to be allocated. The interpreting doctor is excluded from the sorting candidate interpreting doctors for the sorting target schedule. In the present embodiment, the remaining interpretable points are (number of assignable items) × (one standard point 2201 in the point setting table 2200) as a reference value. Calculated by subtracting the total points. In other words, the points indicate the load on image interpretation, and control is performed so that new assignment is not performed when the load of the image interpretation request increases. Here, a reference value of an image interpretation point is set as an upper limit of the load per schedule for each image interpretation doctor. The above-mentioned number of distributable cases indicates the number of cases that can be interpreted by an image interpreting doctor in a certain schedule. The number of cases referred to in the present embodiment indicates the number of cases in units of requests. However, interpretation of a plurality of patients may be performed for one request as in a screening operation. Therefore, in such a case, the number of patients included in one request is regarded as the number of cases, instead of the number of cases per request. The method of calculating the remaining image interpretation points is not limited to this, and may be calculated using, for example, a weight or an upper limit set for each image interpretation doctor.

  The request points to be distributed are calculated using the request allocation frame information extracted in S606, the distribution characteristic master table 2000, the number-of-points addition table 2100, and the point setting table 2200. In the present embodiment, the point of the request to be distributed is (standard point 2201 per point in the point setting table 2200) + (addition point 2003 of distribution characteristics indicated by the distribution division frame information) + (division division frame) It is calculated by an addition point 2103 of the number of images indicated by the information. That is, the load of image interpretation due to the combination of the type of examination and the region to be inspected and the load due to the large number of images to be interpreted are considered. In other words, the higher the point, the higher the load. By considering the load for each image interpretation based on points as well as the number of image interpretations, it is possible to perform distribution in consideration of the dispersion of the load. Further, it is desirable that the points of the request to be distributed are calculated when executing the automatic distribution. This is because there is a possibility that an image to be interpreted is additionally sent after the request for image interpretation is received.

  In S614, the remote interpretation server 101 determines whether or not the number of distribution candidate interpretation doctors in the distribution target schedule is zero. If the number is not zero (YES in S614), the remote interpretation server 101 determines that there is a distribution candidate interpretation doctor on the distribution target schedule, and shifts the processing to S616. If there are no doctors (NO in S614), the remote interpretation server 101 determines that there is no distribution candidate interpretation doctor on the distribution target schedule, and shifts the processing to S615.

  In S615, the remote image interpretation server 101 adds 1 to the loop counter D (D = D + 1), and shifts the processing to S611. In other words, a candidate for interpretation candidate interpretation is searched for the next schedule.

  In step S <b> 616, the remote image interpretation server 101 refers to the image interpretation doctor schedule table 2600 for all of the allocation candidate image interpretation doctors on the allocation target schedule, and calculates the number of remaining assignable images (number of interpretable images 2604). Further, the remote image reading server 101 refers to the specialty table 2400 and acquires the specialty setting value. Then, the remote image interpretation server 101 calculates the distribution appropriateness by multiplying the number of remaining allocations by the specialty setting value. For example, if the number of remaining assignable cases of a certain sorting candidate interpretation doctor is two and the specialty setting value is “10”, the appropriateness of sorting is “20”. The formula for calculating the appropriateness of distribution is not limited to this. For example, another calculation formula such as weighting for each distribution characteristic may be used.

  In step S636, the remote image interpretation server 101 has the same request as the request allocation frame information extracted in step S606, and has not been assigned to the image interpreting doctor among the request allocation frame information for multi-image interpretation (the image interpretation doctor has not been allocated). It is determined whether the request allocation frame information exists. If this exists (YES in S636), the process proceeds to S637. If this does not exist (NO in S636), the process proceeds to S617. Also, in the case of the blind multi-image reading or the single image reading, the processing shifts to S617.

  In step S637, the remote image interpretation server 101 determines that the request is the same as the request assignment frame information extracted in step S606, and that the request is not allocated to the interpreting doctor among the request assignment frame information for multi-interpretation (the image interpretation doctor is not assigned). Temporary distribution is performed for the request allocation frame information. The temporary distribution is performed by executing each processing of S606 to S618 except for S636 and S637. Then, a coefficient according to the result of the provisional distribution is multiplied by the distribution appropriateness calculated in S616. For example, when distributing the primary interpretation among the double interpretations to the interpreting doctor, provisional assignment of the secondary interpretation is performed, and the distribution target schedule of the secondary interpretation is specified. The coefficient is set to “1” when the distribution schedule for the specified secondary image interpretation is one after the primary image interpretation, and the coefficient is set to “1/2” when the schedule is one after the primary image interpretation. The coefficient is set to “１ ／” when the schedule is three times later. If there is no distribution schedule for secondary interpretation, the coefficient is set to “1/10”. This coefficient is multiplied by the distribution appropriateness calculated in S616 to correct the distribution appropriateness.

  By the processing of S636 and S637, the interpretation schedule of the post-process in the case where there are a plurality of processes such as multi-interpretation is prevented from being delayed, and the necessary doctor in the post-process is not allocated by the allocation of the pre-process. Can be controlled as follows.

  In step S617, the remote image interpretation server 101 sets the one image interpretation doctor having the highest distribution appropriateness in the request assignment frame information based on the distribution appropriateness of each of the allocation candidate image interpretation doctors calculated in step S616 or S637. . When there are a plurality of highest interpreting doctors, for example, one interpreting doctor with a low interpreting doctor ID is set in the request assignment frame information as a distribution target. The distribution target schedule is also set in the request allocation frame information. More specifically, the determined interpretation doctor and the distribution schedule are stored in the interpretation date 2715, schedule ID 2721, and interpretation doctor ID 2716 of the request assignment frame information extracted in S606.

  In step S618, the remote image interpretation server 101 subtracts one remaining image interpretation possible number (image interpretation possible number 2604) from the distribution schedule of the distribution target schedule to the distribution interpretation doctor set in step S617. Further, the remote image interpretation server 101 subtracts the points of the distribution target request from the remaining image interpretation possible points. The points to be subtracted here are also (one standard point 2201 in the point setting table 2200) + (addition point 2003 of distribution characteristics indicated by the allocation division frame information) + (addition point of the number of images indicated by the allocation division frame information) 2103).

  In step S619, the remote image interpretation server 101 determines that there is no assignment-targeted interpreting doctor and interpretation date for the assignment-targeted assignment frame information, and determines the interpretation date 2715, schedule ID 2721, and image interpretation of the requested assignment frame information. The medical ID 2716 is not set. Thereafter, the process proceeds to S620.

  In S620, remote interpretation server 101 adds 1 to loop counter N (N = N + 1).

In S621, the remote image interpretation server 101 determines whether the value of N is less than the total number of request allocation frame information to be automatically allocated. If it is determined that the total is less than the total number (YES in S621), the remote image interpretation server 101 determines that the request for the automatic distribution remains, and shifts the processing to S606 in FIG. 9A. If it is determined that the total number is not less than the total number (NO in S621), the remote image interpretation server 101 determines that the automatic distribution processing has been completed for all the requests to be automatically distributed, and ends the processing flow.
[Example of screen configuration]

  FIG. 10 shows a configuration example of a requested facility work list screen 1000 displayed on the display of the request terminal 109 when a user at the requested facility applies for a request. When the display button 1001 of the request list 1006 is pressed, the screen transitions to a request application screen 1100 for requesting request information of the pressed line. When the search button 1005 is pressed, the request information table 2700 shown in FIG. 27 is searched based on the conditions such as the patient number 1002, the examination type 1003, and the region 1004 specified by the user, and the display contents of the request list 1006 To update.

  FIG. 11 shows a configuration example of a request application screen 1100 displayed on the display of the request terminal 109 when a user at the request facility inputs request contents for the request. The request source 1101 is displayed according to the request facility to which the user of the request facility belongs. The request date 1102 is information on the date and time when today's date is set at the time of request application. The patient number 1103, patient name 1104, gender 1105, date of birth 1106, modality 1107, and number of images 1108 are set and displayed based on the examination information (DICOM information) included in the image data. When the request application button 1113 is pressed, the information entered in the examination type 1109, the site 1110, the film designation 1111, the interpretation method 1114, and the request content 1112 are registered in the request information table 2700.

  FIG. 12 shows a configuration example of an interpretation work list screen 1200 displayed on the display of the business terminal 112 when a user of the interpretation center receives a request. When the display button 1201 of the request list 1207 is pressed, the screen transitions to a request reception screen 1300 for receiving the request information of the pressed line. When a search button 1206 is pressed, the request information table 2700 is searched based on the conditions such as the request facility 1202, the patient number 1203, the examination type 1204, and the site 1205, and the display contents of the request list 1207 are updated.

  FIG. 13 shows a configuration example of a request reception screen 1300 displayed on the display of the business terminal 112 when the user of the interpretation center inputs request reception contents for request reception. Based on the request information set in the request information table 2700, a request source 1301, request date 1302, patient number 1303, patient name 1304, gender 1305, date of birth 1306, modality 1307, and number of images 1308 are displayed. Further, an inspection type 1309, a part 1310, a film 1311, a request content 1312, and an image interpretation method 1315 are displayed. The distribution characteristic selection lists 1313 and 1316 list distribution characteristics registered in the distribution characteristic master table 2000 shown in FIG. When the request reception button 1314 is pressed, the distribution characteristics selected in the distribution characteristic selection list 1313 are registered in the request information table 2700.

  FIG. 14 shows an example of the configuration of the specialty setting screen 1400 displayed on the display of the business terminal 112 when the user of the interpretation center updates the content of the specialty table 2400 shown in FIG. When a value indicating the specialty for each distribution characteristic is input to the specialty setting value 1401 by the user and the save button 1402 is pressed, the specialty table 2400 is updated. The higher the value here, the higher the specialty. If a value has not been input, it means that the user is not specialized (or cannot read images).

  FIG. 15 shows an example of the configuration of a request distribution screen 1500 displayed on the display of the business terminal 112 when a user at the interpretation center distributes request information to a radiology doctor. When the automatic distribution button 1504 is pressed, automatic distribution is performed on the request information selected by the distribution target selection check box 1502 on the request information list 1501, and the distribution result (FIG. 16) is displayed. Is displayed. When the user selects a cell of the interpreting doctor schedule 1503, the requesting information selected by the sorting target selection check box 1502 on the request information list 1501 indicates the interpreting doctor and the sorting target date indicated by the cell. And the request information table 2700 is updated. In other words, when the automatic allocation button 1504 is pressed, the interpretation request can be manually assigned instead of automatically assigning the interpretation request to the interpretation doctor.

  FIG. 16 shows a screen displayed on the display of the business terminal 112 as a distribution result when a user at the interpretation center instructs automatic distribution. When the automatic distribution is executed, a radiological interpretation column 1601 and a radiological interpretation column 1602 are additionally displayed, and the radiological interpretation date and the radiological interpretation as a result of the distribution are displayed here. Further, the number of post-sorting totals and the number of new sorts are displayed in the sorted interpretation date and the cell of the doctor in the radiology doctor schedule 1605.

When the cancel button 1603 is pressed, the provisionally displayed interpretation date and the content of the interpretation doctor are discarded. As a result, the image interpretation date column 1601 and the image interpretation doctor column 1602 are hidden, and the number of distributions of the image interpretation doctor schedule 1605 is deleted. When the save button 1604 is pressed, the displayed interpretation date and the content of the interpreting doctor are registered in the request information table 2700 as shown by 2900 in FIG.
[Table configuration example]

  17, 18, and 19 show configuration examples of the master table stored in the database 108. The data registered in the test type table 1700 in FIG. 17, the region table 1800 in FIG. 18, and the classification table 1900 in FIG. 19 are used as values candidates when inputting request information on the request application screen 1100 shown in FIG. , For example, in a list display.

  FIG. 20 shows a configuration example of the distribution characteristic master table 2000 stored in the database 108. The distribution characteristic according to the present embodiment is defined by a combination of each value of the inspection type shown in FIG. 17 and each value of the part shown in FIG. Note that the distribution characteristics are not limited to this, and may be combined for each value of more detailed items. In that case, it is possible to define more specialized. In the present embodiment, distribution characteristics for primary interpretation and distribution characteristics for secondary interpretation are prepared. For example, the distribution characteristic ID 2001 in the distribution characteristic master table 2000 in FIG. 20 is a record with “9” and “10”. The distribution characteristic master table 2000 includes a distribution characteristic ID 2001, a distribution characteristic name 2002, and an addition point 2003. When calculating the points of the request information, the additional points 2003 are added to the one-piece standard point 2201 (FIG. 22) according to the distribution characteristic set in the request information.

  FIG. 21 shows a configuration example of the number-of-sheets point addition table 2100 stored in the database 108. The sheet number addition table 2100 includes a sheet number lower limit 2101, a sheet upper limit 2102, and an addition point 2103. When calculating the points of the request information in S613 and S618 in FIG. 9B, the addition point 2103 of the record falling within the range of the lower limit 2101 and the upper limit 2102 according to the number of images of the request information is added to the standard point 2201 for one case. Is done.

  FIG. 22 shows a configuration example of the point setting table 2200 stored in the database 108. The point setting table 2200 includes one standard point 2201. Used as a standard point value for each request. In the present embodiment, one case is the number of requests, but in the case of a medical examination, the number of cases may be the number of patients.

  FIG. 23 shows a configuration example of the distribution characteristic mapping table 2300 stored in the database 108. The distribution characteristic mapping table 2300 includes a distribution characteristic ID 2301, a distribution characteristic name 2302, an examination type ID 2303, a site ID 2304, a classification ID 2305, a patient age 2306, a patient gender lower limit 2307, a patient gender 2308, a process No. 2309, and an order 2310. Including. The same distribution characteristic ID 2301 can have a combination of different test type ID 2303, site ID 2304, classification ID 2305, patient age 2306, patient gender lower limit 2307, and patient gender 2308.

  FIG. 24A shows a configuration example of the specialty table 2400 stored in the database 108. The specialty table 2400 includes an image interpretation doctor ID 2401, a distribution characteristic ID 2402, and a specialty setting value 2403. The value input on the specialty setting screen 1400 in FIG. 14 is registered. This value indicates the specialty of each interpreting doctor, and the higher the value, the higher the specialty. FIG. 24B shows the relationship between the values shown in FIG. 24A in a two-dimensional table format centering on the interpreting doctor and the distribution characteristics. As shown in FIG. 24, certain distribution characteristics (chest CR) can be divided into primary interpretation (chest CR1 reading) and secondary interpretation (chest CR2 reading), and a specialty setting value can be registered for each. . Therefore, it is possible to cope with a case where the degree of difficulty in image interpretation differs depending on the process, such as multi-image interpretation. For example, primary interpretation is not possible, but secondary interpretation is possible, and it is possible to meet the request of an interpreting doctor.

  FIG. 25 is an example of the configuration of an interpreter exclusion table 2500 stored in the database 108. The interpreting doctor exclusion table 2500 includes a requested facility ID 2501 and an interpreting doctor ID 2502. The interpreting doctor exclusion table 2500 is used to exclude, from the candidate interpreting doctor, an interpreting doctor who is not desired by the requesting facility that applied for the request information. Note that, here, the interpreting doctor to be excluded is specified in the unit of the requested facility, but the present invention is not limited to this. For example, it is possible to specify the doctor to be excluded in units of patients, examination types, and the like. Good.

  FIG. 26A shows a configuration example of an interpreting doctor schedule table 2600 stored in the database 108. The interpreting doctor schedule table 2600 includes a sorting target date 2601, a schedule ID 2602, an interpreting doctor ID 2603, and the number of interpretable cases 2604. FIG. 26B is a representation of the data values of FIG. 26A in a two-dimensional table format centered on the sorting target date and the radiologist. FIG. 26C is a schedule table showing details of the schedule ID 2602. The schedule table includes a schedule ID and a schedule name, and further sorts the distribution target date according to the time zone.

  FIG. 27 shows a configuration example of the request information table 2700 stored in the database 108. The request information table 2700 includes a request ID 2701, a state 2702, a request facility ID 2703, a request date 2704, a patient number 2705, a patient name 2706, a date of birth 2707, and a gender 2708. Furthermore, an inspection type ID 2709, a region ID 2710, an inspection date 2711, a classification (film) ID 2712, the number of images 2713, and an image interpretation method 2717 are provided. As described above, the information so far is collectively referred to as request information. The request information table 2700 further includes an allocation frame ID 2718, a process No. 2719, a distribution characteristic ID 2720, an image interpretation date 2715, a schedule ID 2721, an image interpretation doctor ID 2716, and an image interpretation state 2722. As described above, such information is referred to as allocation frame information. A set of the request information and the allocation frame information is referred to as request allocation frame information. The state 2702 indicates the status of the request information, and is “waiting for application”, “waiting for reception”, “waiting for distribution”, “waiting for interpretation”, “under interpretation”, “waiting for confirmation”, “released”, “viewing”. There is a status such as "Done." In the present embodiment, these statuses are used, but not limited to these. In particular, in the present embodiment, processing is performed in association with the expertise of the interpreting physician using a combination of the examination type indicated by the examination type ID 2709 and the imaging part indicated by the part ID 2710. FIG. 28 shows a state after sorting the data of the request information table 2700 shown in FIG. 27 (a state after executing the processing of S601 to S633).

  FIG. 29 shows a state where the flowchart of FIG. 9 is completed for the data of the request information table 2700 shown in FIG. In the interpretation day, the schedule ID, and the interpretation doctor ID, a distribution target date and a distribution interpretation doctor as a result of performing the automatic distribution are set. Note that this data is not stored in the database 108 of the data center at the time when the flowchart of FIG. 9 is completed, and the user instructed to save the data via the request distribution screen 1600 in S514 of the flowchart of FIG. Registered at the time.

  FIG. 30 is a diagram (3000) showing a log of the data in the request information table 2700 until the flowchart in FIG. 9 is completed. The calculation point 3001 indicates the calculation point of the request calculated in S613 of FIG. The calculated distribution appropriateness 3002 indicates the distribution appropriateness of the interpreting physician for each distribution target day calculated in S616 of FIG. The sorting information interpretation date 3003, the sorting information schedule ID 3005, and the sorting information interpreting doctor 3004 indicate the interpretation date and the result of the interpreting doctor set as the sorting target in S617.

  For example, the record on the first line in FIG. 30 is a log when the request ID frame 2701 of the request information table 2700 is assigned to the requesting frame information of “1”. First, since this request is the primary interpretation of the chest CR, a value is set in the distribution characteristic of “chest CR1 reading” with reference to the specialization table 2400, and “radiographer 2 (radiologist ID: 0002)” is set. "And" radiologist 5 (radiologist ID: 0005) "are extracted. Then, for each of them, the distribution appropriateness for today (June 9) and morning (AM) is calculated. As described above in S616, the number of remaining allocations is multiplied by the specialty setting value of the distribution characteristic. As a result, the appropriateness of distribution of the radiologist 2 is “4”, and the appropriateness of distribution of the radiologist 5 is “10”. Furthermore, provisional distribution is also performed for secondary interpretation of the same request. The secondary interpretation here is the request assignment frame information of the record in the second line in FIG. The provisional distribution is simulated when the primary interpretation is the interpretation doctor 2 and when the primary interpretation is the interpretation doctor 5. Then, when the primary interpretation becomes the interpretation doctor 5, it can be understood that there is no interpretation doctor who can perform the secondary interpretation even on another schedule. Since this request is double interpretation, different interpretation doctors must be in charge of the primary interpretation and the secondary interpretation respectively. However, according to the specialized table 2400, only the interpretation doctor 5 can interpret the secondary interpretation of the chest CR. is there. In other words, if the interpreting doctor 5 is assigned to the primary interpretation, there is no interpreting doctor capable of interpreting the secondary interpretation. On the other hand, when the primary interpretation becomes the interpretation doctor 2, it is understood that the interpretation doctor 5 can interpret the secondary interpretation on the next schedule (June 9 PM).

  In consideration of the result of such provisional allocation, correction is performed by multiplying the previously calculated allocation appropriateness by a coefficient. Specifically, since the interpreting doctor 2 can interpret the secondary interpretation on the next schedule, the coefficient is “1” as described above in S637, and the calculated distribution appropriateness is “4”. By multiplying by the coefficient “1”, the final distribution appropriateness becomes “4”. On the other hand, since the interpretation doctor 5 cannot interpret the second interpretation, the coefficient is set to “1/10 (0.1)”. Therefore, the calculated distribution appropriateness “10” is multiplied by the coefficient “0.1”, and the final distribution appropriateness becomes “1”. By comparing the final allocation appropriateness, an interpreting doctor having a higher allocation appropriateness is in charge of image interpretation. In other words, the interpretation of the first line is performed by the interpretation doctor 2. Similarly, a log 3000 when assigning an interpreting doctor to each request assignment frame information is shown in 3000.

FIG. 31 shows, for the data in the request information table 2700, the assignment target date at the time when the flowchart of FIG. Indicates the status.
The above is the description of the first embodiment.
<Second embodiment>

  In the second embodiment, in the case of multi-interpretation, the interpretation work is allocated to the interpreting doctor ahead of a certain step (eg, primary interpretation), and when the divided interpretation is completed, the next or subsequent step is automatically or manually performed. (For example, secondary image reading). In the first embodiment, with respect to the request for multi-radiographic interpretation, the request allocation frame information for all the processes is collectively allocated. Therefore, if the interpreting doctor in charge of the pre-process does not progress as planned, the pre-process may not be completed even if the interpreting doctor in the post-process attempts to start the interpretation work. In the second embodiment, in consideration of such a problem, when the interpretation of the preceding process is completed, the sorting of the subsequent process is performed.

Hereinafter, the above mechanism will be described as a second embodiment. Note that the description of the processes, screen examples, and data configurations common to the above-described first embodiment will be omitted, and portions different from the first embodiment will be described.
[Example of screen configuration]

FIG. 32 shows an example of the configuration of a distribution setting screen 3200 displayed on the display of the business terminal 112, which allows the user of the radiology center to make settings for allocating a radiology doctor to request allocation frame information. The distribution setting screen 3200 includes a check box 3201 for receiving whether or not to distribute the interpretation work in the post-process when the interpretation of the pre-process is completed in the case of multi-radiography, and a setting button 3202. If the check box 3201 is not checked, the operation is the same as in the first embodiment. When the setting button 3202 is pressed, the setting is stored in the external memory 211. Hereinafter, the setting content of the check box 3201 is referred to as a first distribution setting. Then, when the interpretation of the pre-process is completed in the case of multi-interpretation, the first distribution setting is ON when the distribution of the interpretation work in the post-process is performed, and otherwise, the first distribution is set. The description will be made on the assumption that the setting is OFF.
[Processing flow]
(Request distribution process)

  FIG. 33 is a diagram illustrating a processing flow of a request distribution process performed by the business terminal 112 and the remote image interpretation server 101 in cooperation with each other. The following processing is realized by the CPU of each of the business terminal 112 and the remote image reading server 101 reading and executing a program stored in each storage unit. Since FIG. 33 is a modification of the request distribution process shown in FIG. 8, the same steps as those in FIG. 8 are given the same step numbers as in FIG. Therefore, description of such similar processing is omitted.

  In S <b> 520, the CPU 201 of the remote image interpretation server 101 acquires the first distribution setting stored in the external memory 211 when an instruction to acquire each information is issued from the business terminal 112. Then, it is determined whether the first distribution setting is ON. If it is determined that the first distribution setting is ON (YES in S520), the process proceeds to S521. On the other hand, if it is determined that the first distribution setting is OFF (NO in S520), the process proceeds to S502. If NO in S520, it is the same as in the first embodiment described above.

In step S <b> 521, the remote image interpretation server 101 determines that the request allocation frame information status 2702 is a status after “distribution wait” and the image interpretation status 2722 is “in the case of single image interpretation or blind multi-image interpretation request allocation frame information”. Acquire request allocation frame information that is "not yet". In the case of the request allocation frame information for multi-image interpretation, the status 2702 of the request allocation frame information is a status after “distribution wait” and the radiological interpretation status 2722 is “not yet”, and the process No. 2719 is included in the same request. Obtains the request allocation frame information with the smallest value. For example, if the primary interpretation and the secondary interpretation are not sorted in the double interpretation, only the request allocation frame information of the primary interpretation is acquired. Further, it also obtains the interpretation doctor schedule table 2600 shown in FIG. 26, and returns these to the business terminal 112. Then, the business terminal 112 displays the received request allocation frame information and the interpreting doctor schedule table 2600 on the request distribution screen 1500. Subsequent processing is the same as in FIG.
[Example of screen configuration]

FIG. 34 shows the result of executing the request distribution process of FIG. 33 and displaying the request distribution screen 1500 on the business terminal 112 when the first distribution setting is ON. In FIG. 34, it can be seen that the request allocation frame information related to the secondary interpretation with the request ID “1”, which is displayed in FIG. 15, is not displayed. This means that since the primary interpretation has not been completed, the display control is performed so that the secondary interpretation is not performed. The distribution of the secondary image interpretation is separately performed in a process described later.
[Processing flow]
(Request distribution processing)

  When the automatic allocation button 1504 is pressed on the request allocation screen in FIG. 34, the automatic assignment of the interpreting physician is performed on the request allocation frame information displayed in FIG. In the second embodiment, of FIGS. 9A and 9B showing the request distribution processing, a part of processing is added to FIG. 9B.

  FIG. 35 is a diagram showing a processing flow of the automatic distribution performed by the remote image interpretation server 101, and corresponds to the processing of S507 in FIG. FIG. 35 is a modification of FIG. 9B, and FIG. 9A is the same as the first embodiment in the second embodiment.

When the distribution appropriateness is calculated in S616, in S641, the remote interpretation server refers to the first distribution setting from the external memory 211 and determines whether or not this is ON. If it is determined that the first distribution setting is ON (YES in S641), the process proceeds to S617. That is, since it is not necessary to execute S636 and S637 by the first distribution setting, these processes are skipped. On the other hand, if it is determined that the first distribution setting is OFF (NO in S641), the process proceeds to S636. The subsequent processing is the same as in FIG. 9B.
(Interpretation result confirmation processing)

  After the request for image interpretation is distributed, each image interpretation doctor performs image interpretation work, and saves the image interpretation result as data. Then, a person in charge of the interpretation center checks the interpretation result, and if there is no problem, the interpretation result is disclosed to the requester. Hereinafter, this confirmation work will be described.

  FIG. 36 is a diagram illustrating a flowchart of an image interpretation result confirmation process performed by the business terminal 112 and the remote image interpretation server 101 in cooperation with each other. The following processing is realized by the respective CPUs of the business terminal 112 and the remote interpretation server 101 reading and executing the programs stored in the respective storage units.

  In S701, the business terminal 112 displays the confirmation waiting work list screen 3700 shown in FIG. 37 according to the user's instruction. The display here may be performed using a Web browser (not shown) provided in the request terminal 109, or may be displayed via a predetermined application. The business terminal 112 instructs the remote image interpretation server 101 to acquire the request assignment frame information in order to acquire the request assignment frame information to be displayed on the confirmation waiting work list screen 3700.

  In step S702, the remote image interpretation server 101 reads the request allocation frame information from the request information table 2700 in FIG. 27 according to the instruction from the business terminal 112, and returns it to the business terminal 112. Then, the business terminal 112 displays the request assignment frame information whose status 2702 is “waiting for confirmation” in the received request assignment frame information on the confirmation waiting work list screen 3700. When the image reading is completed by the image reading doctor, the status 2702 of the request assignment frame information is updated to “confirmation waiting”. Therefore, the displayed request assignment frame information is the request assignment frame information for which the interpretation by the image interpretation doctor has been completed.

  In S703, the business terminal 112 accepts selection of request allocation frame information to be confirmed from the user via the work list screen 3700 waiting for confirmation. Specifically, by accepting the designation of the display button 3701 on the confirmation waiting work list screen 3700, the selection of the request assignment frame information to be confirmed is accepted. Then, the business terminal 112 acquires the request ID 2701 of the selected request allocation frame information of the confirmation target.

  In S704, the business terminal 112 displays an image interpretation result confirmation screen 3800 shown in FIG. 38 to display the request allocation frame information corresponding to the request ID 2701 acquired in S703. The image interpretation result confirmation screen 3800 includes a column for displaying the image interpretation result by the image interpretation doctor and a column for specifying the next action. In the column for displaying the interpretation result by the radiological interpreter, in addition to the request assignment frame information for which the selection has been received, request assignment frame information (another assignment frame) of the same request as the request assignment frame information is also displayed. In addition, when a press on the output button 3801 is received, report data of an image interpretation result is displayed, and the person in charge of the image interpretation center confirms this. Then, according to the result of the confirmation, the input of the next action is accepted. FIG. 38A shows a screen in which the primary interpretation has been completed and the secondary interpretation has not been completed among the double interpretations. In such a state, two actions can be selected. One is an action (3802) for performing the next distribution. When the above-described first distribution setting is ON, since the post-process of the multi-image reading is not allocated, by selecting this action, the next process is allocated. The other is an action of sending back (3803). If the interpretation result is incomplete, this action can be selected to request the interpretation doctor to rewrite the interpretation result. FIG. 38 (B) is a screen in a state in which the primary interpretation and the secondary interpretation have been completed among the double interpretations. In this state, since the next sorting cannot be performed, an action of releasing the interpretation result (3805) and a return action are displayed.

  In S705, the business terminal 112 determines whether the OK button 3804 has been pressed on the image interpretation result confirmation screen 3800. If OK button 3804 has been pressed (YES in S705), the flow shifts to S706. Otherwise (NO in S705), the process stands by until OK button 3804 is pressed.

  In S706, the business terminal 112 transmits the request assignment frame information for which the display button 3701 was pressed in S703 and information indicating the selected action to the remote image interpretation server 101.

  In step S707, the remote image interpretation server 101 receives the request allocation frame information transmitted from the business terminal 112 and the information indicating the selected action.

  In S708, the remote image interpretation server 101 determines whether the selected action is a reinstatement based on the information received in step S707. If the selected action is return (YES in S708), the process proceeds to S709, and the image reading operation is returned. As a result, the status 2702 of the received request assignment frame information is updated to “waiting for image interpretation”. On the other hand, if the selected action is not return (NO in S708), the process proceeds to S710.

  In S710, remote interpretation server 101 determines whether the first distribution setting is ON. If it is determined that the first distribution setting is ON (YES in S710), the process proceeds to S712. If it is determined that the first distribution setting is OFF (NO in S710), the process proceeds to S711.

  In step S711, the remote image interpretation server 101 determines that the request allocation frame information received in step S707 and the interpretation state 2722 of all the request allocation frame information of the same request as the request allocation frame information are “completed”. The request status 2702 is updated to “disclosed”. Otherwise do nothing. When the state 2702 is updated to “disclosed”, the interpretation result is disclosed to the requestor. The disclosure here is referred to as disclosure when the image interpretation result becomes browsable. If there is request assignment frame information of the same request as the request assignment frame information, this is also disclosed.

  In step S712, the remote image interpretation server 101 determines whether the request allocation frame information of the same request as the request allocation frame information received in step S707 is the unassigned request allocation frame information of the process next to the received request allocation frame information. Determine whether or not. That is, the interpretation state 2722 of the request allocation frame information of the next process after the request allocation frame information received in step S707 may be referred to. The image interpretation status 2722 is an image interpretation status in which “completed” is stored when image interpretation is completed, and “not yet” is stored when image interpretation is not completed. That is, it is only necessary to determine whether or not the interpretation state 722 of the request assignment frame information of the process next to the request assignment frame information received in step S707 is “not yet”. If it is determined in step S707 that the request allocation frame information of the next process subsequent to the request allocation frame information received is not image-read (YES in S712), the process proceeds to S713. If it is determined in step S707 that the request allocation frame information of the next process following the request allocation frame information received has been interpreted (YES in S713), the process proceeds to S711. Also, if the specified action is an action for publishing the interpretation result, the process proceeds to S711.

  In step S713, the remote image interpretation server 101 performs an automatic distribution process on the request allocation frame information of the process next to the request allocation frame information received in step S707, performs an image interpretation work on the request, and the image interpretation date. To determine. Details of the processing in this step are as described above with reference to FIGS. 9A and 35. As described above, in the case of the multi-interpretation, when the interpretation of a certain process is completed and the person in charge is confirmed, the sorting of the next process is automatically executed. This makes it possible to match the order of the scheduled interpretation. In the second embodiment, a doctor in charge of the interpretation center confirms the interpretation result and presses the OK button, so that the interpretation doctor of the next process is assigned. Then, the distribution of the next step may be performed. That is, the interpretation of the next step may be performed without confirming the person in charge of the interpretation center.

  In S714, the remote image interpretation server 101 transmits to the business terminal 112 the information on the result of the assignment regarding the image interpretation doctor and the image interpretation date set in S713.

  In S715, the business terminal 112 displays the information on the result of the distribution of the interpretation doctor and the interpretation date received from the remote interpretation server 101 on the request distribution screen 1500. The business terminal 112 displays the information on the allocated interpreting doctor and the interpretation date in the request information list 1501 of the request distribution screen 1500 in association with the request allocation frame information indicating the allocation frame. Further, the business terminal 112 displays the number of distribution schedules for each date of each interpreting doctor on the interpreting doctor schedule 1503.

  In S716, the business terminal 112 checks whether the save button 1604 has been pressed on the request distribution screen 1600. If save button 1604 has been pressed (YES in S716), the flow shifts to S717. If cancel button 1603 has been pressed (NO in S716), the process moves to S720.

  In S720, the business terminal 112 discards the distribution result information received in S715. The information of the distribution result displayed on the request distribution screen 1600 is all returned to the state before display. Then, this processing flow ends.

  In S717, the business terminal 112 transmits the information on the distribution result for which the user has received the determination instruction to the remote image interpretation server 101.

  In S718, the remote image interpretation server 101 receives the information of the distribution result from the business terminal 112.

In S719, the remote image interpretation server 101 updates the allocation frame information of the request allocation frame information stored in the database 108 by adding the information of the distribution result received in S718. At this time, the value of the state 2702 is “interpretation waiting” as the status of the request information included in the request allocation frame information for which the distribution result has been updated. Then, this processing flow ends.
[Example of screen configuration]

  FIG. 37 shows a configuration example of the confirmation waiting work list screen 3700 displayed on the display of the business terminal 112 when the person in charge of the interpretation center specifies the request assignment frame information waiting for confirmation. When the display button 3701 of the confirmation waiting list 3707 is pressed, the screen transits to an image interpretation result confirmation screen 3800 for confirming the request assignment frame information of the pressed line. When a search button 3706 is pressed, the request information table 2700 is searched based on the conditions such as the request facility 3702, the patient number 3703, the examination type 3704, and the site 3705, and the display contents of the confirmation waiting list 3707 are updated.

FIG. 38 shows a configuration example of an image interpretation result confirmation screen 3800 displayed on the display of the business terminal 112 when the person in charge of the image interpretation center checks the image interpretation result. The interpretation result of the request assignment frame information designated by the display button 3701 and the interpretation result of another request assignment frame information of the same request as the request assignment frame information are displayed. Further, as the next action, an action such as distribution of the next step, return, and disclosure of the interpretation result can be designated.
The above is the description of the second embodiment.
<Modification of Second Embodiment>

  Next, a modified example of the second embodiment will be described. In the second embodiment, when the interpretation of a certain step in the case of multi-interpretation is completed, an interpreting doctor is automatically assigned to the next step. In the modified example of the second embodiment, in the case of multi-interpretation, when the interpretation of a certain process is completed, the request assignment list information of the next process is displayed in the request information list 1501 of the request distribution screen 1500 as shown in FIG. It is a mechanism that is displayed.

Hereinafter, the above mechanism will be described as a modification of the second embodiment. In addition, the description of the processes, screen examples, and data configurations common to the above-described first embodiment and the second embodiment will be omitted, and portions different from the first embodiment and the second embodiment will be described. I do.
[Processing flow]
(Interpretation result confirmation processing)

  FIG. 40 is a diagram illustrating a flowchart of an image interpretation result confirmation process performed by the business terminal 112 and the remote image interpretation server 101 in cooperation with each other. The following processing is realized by the respective CPUs of the business terminal 112 and the remote interpretation server 101 reading and executing the programs stored in the respective storage units. Since FIG. 40 is a modified example of the interpretation result confirmation processing shown in FIG. 36, the same step numbers as in FIG. 36 are given to FIG. 40 for the same processing as in FIG. Therefore, description of such similar processing is omitted.

  Processing up to S707 in FIG. 40 is the same as that in FIG. Upon receiving the request allocation frame information transmitted from the business terminal 112 and the information indicating the selected action in S707, in S730, the remote image reading server 101 performs the selected action based on the information received in Step S707. Is returned or not. If the selected action is reversion (YES in S730), the process proceeds to S709, and reversion of the interpretation work is performed. As a result, the status 2702 of the received request assignment frame information is updated to “waiting for image interpretation”. On the other hand, if the selected action is not a revert (NO in S730), the process moves to S731.

  In S731, the remote image interpretation server 101 updates the status 2702 of the request assignment frame information received in step S707 to “disclosed” and discloses the image interpretation result to the requestor. If there is request assignment frame information of the same request as the request assignment frame information, this is also disclosed. Then, this processing flow ends.

In this way, the request allocation frame information of the next process is not automatically allocated, and only the state 2702 is updated. Then, after this, the person in charge of the image interpretation center executes the request allocation processing of FIG. 33 in the second embodiment, and the request allocation frame information of the next process is changed to the request information of the request allocation screen 1500 as shown in FIG. It is displayed in the list 1501. Therefore, it is possible to select the displayed request allocation frame information and instruct the distribution.
<Third embodiment>

  In the third embodiment, in the case of the blind multi-interpretation, when the interpretation result by the first interpretation is different from the interpretation result by the second interpretation, the interpretation in charge of the third interpretation is performed to perform the third interpretation. It is a mechanism to assign a doctor. The fact that the interpretation result by the first interpretation is different from the interpretation result by the second interpretation has a problem that even if this result is returned to the requesting facility, it is difficult for the requesting facility to determine the state of the patient. Therefore, the third facility can further perform the third interpretation and present the result, thereby assisting the requesting facility in making the determination.

Hereinafter, the above mechanism will be described as a third embodiment. In addition, the description of the processes, screen examples, and data configurations common to the above-described first embodiment and the second embodiment will be omitted, and portions different from the first embodiment and the second embodiment will be described. I do.
[Example of screen configuration]

FIG. 41 shows an example of the configuration of a distribution setting screen 3200 displayed on the display of the business terminal 112, which allows the user of the radiology center to make settings for allocating a radiology doctor to request allocation frame information. The distribution setting screen 3200 in the third embodiment displays a third image to perform the third image interpretation when the result of the first image interpretation and the result of the second image interpretation are different as a result of performing the blind multi image interpretation. A check box 3203 for receiving whether or not to perform interpretation is further provided. If the check box 3203 is not checked, the operation is the same as in the first and second embodiments described above. Hereinafter, the setting content of the check box 3203 is referred to as a second distribution setting. The description will be made on the assumption that the second distribution setting is in the ON state when the third interpretation is to be distributed, and is OFF in the other cases.
[Table configuration example]

FIG. 42 shows a configuration example of the report management table 4200. The report management table 4200 is a data table in which report data as a result of interpretation by an image interpreting doctor is stored. In the report management table 4200, findings of the interpreting physician, parts related to the findings, determination, and the like are registered for each request ID and each assignment frame. Although a detailed description of the registration flow is omitted, when such findings and the like are registered in the report server 103 from the image interpretation terminal 113 or 114 operated by the image interpretation doctor, a report of the image interpretation result is stored in the report management table 4200.
[Processing flow]
(Interpretation result confirmation processing)

  FIG. 43 is a diagram showing a flowchart of an image interpretation result confirmation process performed by the business terminal 112 and the remote image interpretation server 101 in cooperation with each other. The following processing is realized by the respective CPUs of the business terminal 112 and the remote interpretation server 101 reading and executing the programs stored in the respective storage units. Since FIG. 43 is a modified example of the image interpretation result confirmation processing shown in FIGS. 36 and 40, the same step numbers as in FIGS. 36 and 40 are given to FIG. It is. Therefore, description of such similar processing is omitted.

  The processes up to S707 in FIG. 43 are the same as those in FIG. Upon receiving the request allocation frame information transmitted from the business terminal 112 and the information indicating the selected action in S707, in S750, the remote image reading server 101 performs the selected action based on the information received in Step S707. Is returned or not. If the selected action is revert (YES in S750), the process proceeds to S709 to revert the image interpretation work. As a result, the status 2702 of the received request assignment frame information is updated to “waiting for image interpretation”. On the other hand, if the selected action is not a revert (NO in S750), the process moves to S751.

  In S751, the remote image interpretation server 101 determines whether there is request assignment frame information of the same request as the request assignment frame information received in S707. That is, it is determined whether or not the request assignment frame information received in S707 is any of the multi-image reading and the blind multi-image reading. If it is determined that the request allocation frame information of the same request as the request allocation frame information received in S707 exists (YES in S751), the process proceeds to S752. If it is determined that the request allocation frame information of the same request as the request allocation frame information received in S707 does not exist (NO in S751), the process is shifted to S711 because the image is a single image interpretation, and the request allocation frame information received in S707 is received. Is updated to “disclosed”. Then, the image interpretation result is disclosed to the requester.

  In step S752, the remote image interpretation server 101 determines whether the request assignment frame information received in step S707 is image interpretation in which a plurality of processes exist. Specifically, by referring to the process No. 2719 of the request allocation frame information received in S707 and the process No. 2719 of another request allocation frame information of the same request as the request allocation frame information, there is a process whose process number is 2 or more. It is determined whether or not to perform. In short, it is determined whether or not the request allocation frame information received in S707 is a multi-image interpretation. If it is determined that the request allocation frame information received in S707 is a radiogram including a plurality of steps (YES in S752), the process proceeds to S710. If it is determined that the request allocation frame information received in S707 is not an image interpretation including a plurality of steps (NO in S752), the process proceeds to S753.

  In step S753, the remote image interpretation server 101 determines whether the second distribution setting is ON. If it is determined that the second distribution setting is ON (YES in S753), the process proceeds to S754. If it is determined that the second distribution setting is OFF (NO in S753), the process proceeds to S711.

  In S754, the remote image interpretation server 101 determines whether or not the status 2702 of all the request allocation frame information of the same request as the request allocation frame information received in S707 is “waiting for confirmation”. In other words, it is determined whether or not all interpretations have been completed in the blind multi-interpretation, and whether all of them are waiting for confirmation by a person in charge of the interpretation center. If it is determined that the state 2702 of all the request assignment frame information of the same request as the request assignment frame information received in S707 is “wait for confirmation” (YES in S754), the process proceeds to S755. Otherwise (NO in S754), the process proceeds to S711.

  In step S755, the remote image interpretation server 101 determines the image interpretation result (first image interpretation result) regarding the request allocation frame information received in step S707 and the image interpretation result (second image interpretation) regarding another request allocation frame information of the same request as the request allocation frame information. (The second interpretation result) is determined. First, the interpretation result (first interpretation result) regarding the request assignment frame information received in S707 and the interpretation result (second interpretation result) regarding other request assignment frame information of the same request as the request assignment frame information are reported. Obtained from the management table 4200. Then, a comparison is made between each of the parts, findings, and determinations of the first interpretation result and the second interpretation result, and if there are different items, it is determined that the interpretation results are different. In the present embodiment, if any one of the region, the finding, and the determination is different, it is determined that the first interpretation result is different from the second interpretation result, but the present invention is not limited to this. It may be determined whether there is a difference between the site and the finding, or the difference may be determined only with respect to the determination. In addition, if the judgment of the first interpretation result and the judgment of the second interpretation result are separated by two or three steps, it is judged that the interpretation result is different, and if there is only one step, there is no problem. May be determined. If it is determined that the first interpretation result is different from the second interpretation result (YES in S755), the process proceeds to S756. Otherwise (NO in S755), the process proceeds to S711.

In S756, the remote interpretation server 101 generates new allocation frame information in the request information table 2700 in association with the request information on the request allocation frame information received in S707. That is, a new allocation frame is generated to perform the third interpretation. When S756 is completed, the process proceeds to S713, and an automatic distribution process for allocating an interpreting physician to the newly generated allocation frame is performed. Subsequent processing is the same as in the above-described second embodiment. In this way, the distribution for performing the third interpretation is automatically performed, and the radiologist performs the third interpretation. When the third image interpretation is completed and the person in charge of the image interpretation center confirms this result, the image interpretation results from the first image interpretation to the third image interpretation are made public to the requester. Further, in the present embodiment, the third interpretation has been completed, but the fourth interpretation and the fifth interpretation may be continued. This is the end of this processing flow.
<Modification of Third Embodiment>

  Next, a modified example of the third embodiment will be described. In the third embodiment, in the case of blind multi reading, when the interpretation result by the first interpretation is different from the interpretation result by the second interpretation, the third interpretation is automatically performed to perform the third interpretation. It was a mechanism to assign an interpreting doctor in charge. In a modified example of the third embodiment, in the case of blind multi reading, when the interpretation result by the first interpretation is different from the interpretation result by the second interpretation, as shown in FIG. Is displayed in the request information list 1501 to display request allocation frame information of the third interpretation.

Hereinafter, the above mechanism will be described as a modification of the third embodiment. The description of the processing, screen examples, and data configurations common to the first, second, and third embodiments described above is omitted, and the first and second embodiments are omitted. , And portions different from the third embodiment will be described.
[Processing flow]
(Interpretation result confirmation processing)

  FIG. 45 is a diagram showing a flowchart of an image interpretation result confirmation process performed by the business terminal 112 and the remote image interpretation server 101 in cooperation with each other. The following processing is realized by the respective CPUs of the business terminal 112 and the remote interpretation server 101 reading and executing the programs stored in the respective storage units. Since FIG. 45 is a modified example of the image interpretation result confirmation processing shown in FIGS. 36, 40, and 43, the same processing as in FIGS. 36, 40, and 43 will be described with reference to FIGS. 36, 40, and 43. The same step numbers are given in FIG. Therefore, description of such similar processing is omitted.

  The processes up to S751 in FIG. 45 are the same as those in FIG. In step S752, the remote image interpretation server 101 determines whether the request assignment frame information received in step S707 is image interpretation in which a plurality of processes exist. If it is determined that the request allocation frame information received in S707 is image interpretation including a plurality of steps (YES in S752), the process proceeds to S711. If it is determined that the request allocation frame information received in S707 is not an image interpretation including a plurality of steps (NO in S752), the process proceeds to S753.

  The processing from S753 to S755 is the same as in FIG. In S756, the remote interpretation server 101 generates new allocation frame information in the request information table 2700 in association with the request information on the request allocation frame information received in S707. Then, when S756 is completed, this processing flow ends.

In this way, only the allocation frame information for performing the third image interpretation is generated. Then, when the person in charge of the image interpretation center executes the request allocation processing of FIG. 33 in the second embodiment later, the request allocation frame information relating to the third image interpretation is displayed on the request allocation screen 1500 as shown in FIG. It is displayed in the information list 1501. Therefore, it is possible to select the displayed request distribution frame information regarding the third interpretation and instruct the distribution.
<Features of the present invention>
The features of the present invention are as follows.

  An image reading request management system that manages image reading requests for medical image data, and is in charge of a storage unit that stores the image reading request to be read in a plurality of stages and an image reading request that is stored in the storage unit. Determining means for determining an image interpreting doctor for each step; and receiving means for receiving an image interpretation result determined by the image interpreting doctor determined by the determining means, wherein the determining means performs the image reading for each step received by the receiving means. When the results are different, a radiological interpreter in charge of the next stage of interpretation is determined.

  Further, the determining unit accepts the interpretation results of all the stages related to the interpretation request by the accepting unit, and is responsible for the interpretation of the next stage when the interpretation results received by the accepting unit differ for each stage. It is characterized by determining the interpreting doctor to perform.

  Furthermore, the storage unit further stores an operation setting related to the determination unit, and the determination unit differs in the interpretation result for each stage received by the reception unit according to the operation setting stored in the storage unit. In this case, a radiological interpreter who is in charge of the next stage of image interpretation is determined.

  Further, the determining unit determines an interpreting doctor who is in charge of the next stage of interpretation when at least one of the region, the finding, and the judgment among the interpretation results for each stage received by the receiving unit is different. It is characterized by.

According to the present invention, when a plurality of interpretation results are different, an interpretation doctor can be determined to perform further interpretation.
<Other embodiments>

  The present invention is also realized by executing the following processing. That is, software (program) that realizes the functions of the above-described embodiments is supplied to a system or an apparatus via a network or various storage media, and a computer (or a CPU or an MPU or the like) of the system or the apparatus reads out the program. This is the process to be performed.

101 remote viewing server, 108 database, 109 request terminal, 112 business terminal, 113, 114 reading terminal

Claims (12)

In primary interpretation according to the interpretation request, first acquisition means for acquiring a first interpretation result input by the first interpretation doctor,
In the secondary interpretation according to the interpretation request, a second acquisition unit that acquires a second interpretation result input by a second interpretation doctor,
A generating unit configured to generate information for determining a third image reading doctor to perform a tertiary image reading according to the image reading request when the obtained first image reading result and the obtained second image reading result are different. When,
An information processing apparatus comprising:   The information processing apparatus according to claim 1, wherein the information is information indicating an assignment frame for assigning the third image interpretation doctor to the tertiary image interpretation. The generation unit is configured to, when a part of the items included in the acquired first interpretation result is different from a part of the items included in the acquired second interpretation result, perform the third interpretation. and generating the information for determining the medical apparatus according to claim 1 or 2. The generation means, when all of the items included in the acquired first interpretation result and all of the items included in the acquired second interpretation result are different, the third interpretation doctor and generating information for determining apparatus according to claim 1 or 2. The information processing according to any one of claims 1 to 4 , wherein the secondary image interpretation is image interpretation performed by the second image interpretation doctor without viewing the first image interpretation result. apparatus. The information processing apparatus according to any one of claims 1 to 5 , further comprising: a determination unit configured to determine the third interpreting physician using at least the generated information. Screen generating means for generating a screen for determining the third interpreting physician using at least the generated information,
The information processing apparatus according to claim 6 , wherein the determining unit determines the third radiologist in accordance with an instruction from a user on the screen. When the tertiary interpretation is completed, using the first interpretation result, the second interpretation result, and the third interpretation result input by the third interpretation doctor , at the transmission source of the interpretation request characterized by further comprising transmission means for transmitting the results to a request facility, the information processing apparatus according to any one of claims 1 to 7. The method according to any one of claims 1 to 8 , wherein the acquired first interpretation result and the acquired second interpretation result include at least items indicating a site, a finding, and a determination. An information processing apparatus according to claim 1. The interpretation request, characterized in that it is a radiology request transmitted from the request facilities interpretation center, the information processing apparatus according to any one of claims 1 to 9. In the primary interpretation according to the interpretation request, a first acquisition step of acquiring the first interpretation result input by the first interpretation doctor,
In the secondary interpretation pertaining to the interpretation request, a second acquisition step of acquiring a second interpretation result input by a second interpretation doctor,
A generating step of generating information for determining a third image reading doctor to perform tertiary image reading according to the image reading request when the obtained first image reading result is different from the obtained second image reading result When,
A method for controlling an information processing apparatus, comprising: Program for causing a computer to function as each unit of the information processing apparatus according to any one of claims 1 to 10.

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