JP6670886B2 - Information processing system and its control method, information processing device and its control method, and program. - Google Patents

Description

The present invention relates to an information processing system and a control method therefor, an information processing apparatus and a control method therefor , and a program, and more particularly to a technique for assigning an image to be interpreted to an interpreting doctor who interprets a medical image.

  2. Description of the Related Art Conventionally, a patient is imaged with a medical imaging device such as CT (Computed Tomography) or MRI (Magnetic Resonance Imaging), and a medical image obtained by the imaging 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 Document 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 delivered 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, and the expertise of the interpretation doctor (specialized area based on an examination type, a part, and the like) and the skill level thereof are determined. Not considered. Therefore, in the case where the interpretation of a medical image in a specialized area, which can be interpreted but is not very good, is assigned, it may take a long time to interpret the image.

Therefore, an object of the present invention is to provide a mechanism in which a user can easily or manually set an image reading doctor who is in charge of image reading regarding an image reading request .

In order to achieve the above object, the present invention has the following configuration. That is, an information processing system, and request information about the reading shadows request obtaining means for obtaining a radiologist information about interpreting doctor from the storage unit, a plurality of the acquired request information, the interpretation of each radiologist and medical information, and display control means for displaying on the display unit and a display item for receiving an instruction for extracting a radiologist according to a predetermined condition, among the plurality of request information which the displayed, the request information from the user A selection accepting unit for accepting the selection, and in a case where the displayed interpreting doctor information is selected by the user, is in charge of interpreting the interpreting doctor corresponding to the selected interpreting doctor information and interpreting the selected request information. set as interpreting doctor which, when said displayed display item selected by the user, the radiologist is extracted according to the predetermined condition, said selected A setting means for setting as a radiologist responsible for interpretation regarding request information.

  Advantageous Effects of Invention According to the present invention, it is possible to allocate a request for image interpretation to an image interpretation doctor who interprets medical images according to the specialty of the image interpretation doctor.

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. 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 image interpretation center 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 distribution screen. The figure which shows the example of a display of the automatic distribution result on a 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. 9 is a flowchart of a request distribution process according to the second embodiment. 9 is a flowchart of an automatic distribution process according to the second embodiment. 9 is a flowchart of an automatic distribution process according to the second embodiment. The figure which shows an example of a distribution condition setting screen. The figure which shows the example of a structure of the facility information table for interruption.

<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 when starting access from PCs (109, 112, 113, 114) which are client terminals arranged 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, 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, and the assignment (distribution) of the request information is treated as the image data assignment.

  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 CRT 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 compact flash (registered trademark) 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 the processing of S202 and S402 in the processing 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. 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 unapplied 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 not applied in order to obtain the 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 not applied, out of 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, the request terminal 109 accepts a selection of a request to be applied from the user via the requested facility work list screen 1000. Specifically, by receiving designation of the display button 1001 on the requested facility work list screen 1000, selection of the application target is accepted. Then, the request terminal 109 acquires the request ID 2701 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 and information necessary for image interpretation (for example, symptoms of the patient) are input. The input information may be manually input by the client, or may be automatically input according to the input of identification information such as the patient number 1103, or may specify an attached file.

  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 S209, the remote image interpretation server 101 sets an initial value of the distribution characteristic based on the request information received in S208. Details of the processing here will be described later with reference to FIG.

  In S210, the remote interpretation server 101 adds the initial value of the distribution characteristic set in S209 to the request information received in S208, and stores the request information in the database. At this time, as the status of the request information, the value of the state 2702 becomes “waiting for reception”. 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 in 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 specific configuration of the distribution characteristics will be described together with the processing.

  In S301, the remote image interpretation server 101 determines whether or not the request information received from the request terminal 109 includes information necessary for a mapping process for determining an initial value of a distribution characteristic. Necessary information here includes the type of examination, site, classification, patient age, and patient gender. 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 step S302, the remote image reading server 101 sets the distribution type mapping table 2300 shown in FIG. 23 stored in the database 108 as a condition value (key) using all the values of the examination type, site, classification, patient age, and patient gender. Is searched for the distribution characteristic ID 2301. 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 S305.

  In S304, the remote image interpretation server 101 sets the one distribution characteristic ID 2301 retrieved in S303 in the request information as an initial value. Thereafter, this processing flow ends.

  In step S305, the remote interpretation server 101 ends the processing flow without setting the distribution characteristic ID 2301 in the request 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 center 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 issues an instruction to the remote image interpretation server 101 to acquire the request information whose status is waiting to be received, in order to acquire the request information to be displayed on the image interpretation center work list screen 1200.

  In step S402, the remote image interpretation server 101 returns, to the business terminal 112, the request information whose status is waiting to be accepted among the request information illustrated in FIG. Specifically, in the request information table 2700, request information in which the value of the state 2702 is “waiting for reception” is returned. Then, the business terminal 112 displays the received request information on the interpretation center work list screen 1200.

  In S403, the business terminal 112 receives a selection of a request to be received from the user via the interpretation center work list screen 1200. Specifically, by receiving the specification of the display button 1201 on the interpretation center work list screen 1200, the selection of the reception target 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 the 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 S405, the business terminal 112 displays the distribution characteristic selection list 1313 on the request reception screen 1300.

  In S406, the business terminal 112 sets the initial value of the distribution characteristic set in the processing of FIG. 6 as a selection value on the distribution characteristic selection list 1313 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.

  At S408, business terminal 112 acquires the request information input on request reception screen 1300. The request information here includes an inspection type, a site, a distribution characteristic, and the like.

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

  In S410, remote interpretation server 101 receives the request information transmitted from business terminal 112.

  In S411, the remote interpretation server 101 stores the request information received in S410 in the database 108. 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 processing)
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 the request information list 1501 and an area for displaying the interpreting doctor schedule 1503. The business terminal 112 instructs the remote image interpretation server 101 to acquire the information in order to acquire the request 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 returns, to the business terminal 112, the request information whose status is waiting for distribution and the image interpretation doctor schedule table 2600 shown in FIG. Then, the business terminal 112 displays the received request information and the interpreting doctor schedule table 2600 on the request distribution screen 1500.

  In S503, the business terminal 112 acquires the request information of the automatic distribution target selected by the user via the request distribution 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 step S505, the business terminal 112 transmits the request information for the automatic distribution acquired in step S503 to the remote image interpretation server 101.

  In S506, the remote image interpretation server 101 receives the request information of the automatic distribution target transmitted from the business terminal 112.

  In S507, the remote image interpretation server 101 performs an automatic distribution process for each piece of request information to be automatically distributed, and sets distribution information. Here, the distribution information is information including an image interpretation doctor who performs the image interpretation work requested and an image interpretation date. Details of the process in this step will be described later with reference to FIG.

  In S508, the remote image interpretation server 101 transmits the distribution information set in S507 to the business terminal 112.

  In S509, the business terminal 112 displays the distribution information received from the remote image 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 each request information. 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 distribution information received in S509. The distribution information 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 distribution information 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 distribution information from the business terminal 112.

  In S514, the remote image interpretation server 101 updates the request information stored in the database 108 by adding the distribution information received in S513. At this time, the value of the state 2702 is "distributed" as the status of the request information. Then, this processing flow ends.

(Automatic sorting process)
FIG. 9 is a diagram illustrating a processing flow of the automatic distribution performed by the remote image interpretation server 101, and corresponds to the processing of S507 in FIG.

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

  In step S603, the remote image interpretation server 101 sorts the request information to be automatically sorted in the 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 step S <b> 604, the remote image interpretation server 101 sorts, in the result of the sorting performed in step S <b> 603, those for which the request date is the same, in ascending order of the number of interpreting doctors that can correspond to the distribution characteristics of the request information. Here, the number of interpreting doctors is determined based on the specialty table 2400 shown in FIG. For example, among the request information in the request information table 2700, the request information with the request ID “7” in S602 is excluded from the automatic distribution targets. Then, when sorting is performed in S603 and S604 based on the request date 2704 and the specialty table 2400, the order is as shown in FIG.

  In 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 information sorted in S604.

  In step S606, the remote image interpretation server 101 extracts the Nth request information of the request information sorted in step S604, and sets the extracted request 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 request information extracted in S606 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 being “0” indicates that the image reading doctor does not have the specialized knowledge (specialty) for performing image reading in a predetermined field. 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, request information having the sorting characteristic is preferentially sorted 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 step S609, the remote image interpretation server 101 refers to the image interpretation doctor exclusion table 2500 acquired in step S601, and determines the image interpretation doctor set as an exclusion target in accordance with the request facility included in the request information extracted in step S606 in step S608. Excluded from the sorting candidate interpreting doctor set in.

  In S610, the remote image interpretation server 101 sets the loop counter D to “0” (D = 0) in order to sequentially perform a loop process for each distribution target day in the image interpretation doctor schedule table 2600 acquired in S601.

  In S611, the remote image interpretation server 101 sets the present day + D day as the distribution target day. The remote interpretation server 101 sets the current distribution candidate interpretation doctor as the distribution candidate interpretation doctor on the distribution target date.

  In step S612, the remote image interpretation server 101 compares the distribution target date with the distribution available date, and determines whether the distribution target date exceeds the distribution available date. The sortable date here indicates, for example, a range from today to a predetermined number of days later. Note that the sortable date may be set in advance by the user. If the date does not exceed the distribution possible date (YES in S612), remote image interpretation server 101 determines that a distribution target date exists, and shifts the processing to S613. On the other hand, if it exceeds (NO in S612), the remote image interpretation server 101 determines that the distribution target date does not exist, and shifts the processing to S619.

  In step S <b> 613, the remote image interpretation server 101 refers to the distribution target date in the interpretation doctor schedule, and determines that the number of remaining image interpretations is 0 or that 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 on the sorting target day. In the present embodiment, the remaining interpretable points are (the number of allocatable items) × (one standard point 2201 in the point setting table 2200) as a reference value, and the interpreting physician determines a request that has already been assigned on the assignment target day. 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 day for each image interpretation doctor. 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 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 points of the request to be distributed are (one standard point 2201 in the point setting table 2200) + (addition point 2003 of the distribution characteristic indicated by the distribution information) + (image indicated by the distribution information). It is calculated based on the number of added points 2103). 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 the number of distribution candidate interpretation doctors on the distribution target day is 0 or not. If the number is not zero (YES in S614), the remote image interpretation server 101 determines that there is a distribution candidate interpretation doctor on the distribution target date, and shifts the processing to S616. If there are zero (NO in S614), the remote interpretation server 101 determines that there is no distribution candidate interpretation doctor on the distribution target date, 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 step S <b> 616, the remote image interpretation server 101 refers to the image interpretation doctor schedule table 2600 for all the allocation candidate image interpretation doctors on the distribution target day, and calculates the number of remaining assignable cases (number of interpretable cases 2603). 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 S617, the remote image interpretation server 101 sets the one interpreting doctor with the highest allocation appropriateness as the allocation information based on the allocation appropriateness of each of the allocation candidate image interpreting doctors calculated in S616. When there are a plurality of highest interpreting doctors, for example, one interpreting doctor with a low interpreting doctor ID is set in the sorting information as a sorting target.

  In step S618, the remote image interpretation server 101 subtracts one remaining readable image count (number of readable images 2603) from the distribution schedule of the distribution target day for the radiological 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.

  In step S619, the remote image interpretation server 101 determines that there is no distribution target interpreting doctor and image interpretation date for the distribution target request, and does not set the distribution information. 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 pieces of request information to be automatically sorted. 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. 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 input to the inspection type 1109, the site 1110, the film specification 1111 and the request content 1112 are registered in the request information table 2700.

  FIG. 12 shows an example of the configuration of an interpretation center 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 site 1310, a film 1311, and a request content 1312 are displayed. The distribution characteristic selection list 1313 displays a list of 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 2900 as shown 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. 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. 9, the addition points 2103 of the records falling within the range of the lower limit 2101 and the upper limit 2102 according to the number of images of the request information are 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.

  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, a test type ID 2303, a site ID 2304, a classification ID 2305, a patient age 2306, a patient gender lower limit 2307, and a patient gender 2308. 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 (parameter) input on the specialty setting screen 1400 in FIG. 14 is registered. This parameter indicates the specialty of each radiologist, 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.

  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, an interpreting doctor ID 2602, and the number of interpretable cases 2603. 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. 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. Further, it includes an examination type ID 2709, a site ID 2710, an examination date 2711, a classification (film) ID 2712, the number of images 2713, a distribution characteristic ID 2714, an interpretation date 2715, and an interpretation doctor ID 2716. These are attribute information included in the request information. 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 S604).

  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 date 2901 and the interpretation doctor 2902, a sorting target date and a distribution interpretation doctor as a result of performing the automatic sorting 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 showing the state of the data of the request information table 2700 at the time when the flowchart of 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 and the sorting information interpreting doctor 3004 indicate the interpretation date set as the sorting target in S617 and the result of the interpreting doctor.

  FIG. 31 shows the data of the request information table 2700 at the time of the completion of the flowchart of FIG. Indicates the state of the point.

<Second embodiment>
By using the mechanism described as the first embodiment, it is possible to automatically perform the interpretation request received by the interpretation center in consideration of the strength of the expertise of the interpreting doctor and the load of the request. However, if the number of requests exceeds the number of daily readable images, requests generated after automatic distribution are always distributed after distributed requests, even if they are highly urgent requests. Therefore, when it is desired to interrupt the request, it is necessary to manually adjust the distribution, and there is a problem that it takes time to readjust the distribution.

  Also, when it is desired to improve the image reading efficiency by allocating the same patient's request to the same image reading doctor on the same day, it is necessary to manually adjust the distribution.

  There is also a demand for preferentially distributing request information from a predetermined request source.

  In the present embodiment, in order to solve the above-described problem, when it is desired to interrupt a request, at the time of automatic distribution, an interrupting frame is prepared without filling in all the readable frames. With this configuration, it is possible to interrupt a request generated after the distribution while maintaining the already performed distribution. Further, in the present embodiment, requests of the same patient or the like are grouped. By grouping, requests for the same patient or the like can always be assigned to the same image reading doctor or the same image reading date, so that the work of manually adjusting the assignment can be reduced.

  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.

  In this embodiment, it is assumed that the user can set the urgency of the interpretation request via the request application screen 1100. At this time, a request application with a high degree of urgency may be set by only a specific user or a specific request source.

[Processing flow]
(Request distribution processing)
FIG. 32 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 S504, the business terminal 112 determines whether the automatic distribution button 1504 has been pressed on the request distribution screen 1500. If automatic distribution button 1504 has been pressed (YES in S504), the flow shifts to S3201.

  In S3201, the business terminal 112 acquires the distribution condition of the automatic distribution selected by the user via the request distribution condition input screen 3400 shown in FIG. The distribution condition may be set by displaying the request distribution condition input screen 3400 when the automatic distribution button 1504 is pressed, or by displaying the request distribution condition input screen 3400 in advance as a preset. May be selected. The screen configuration of the request distribution condition input screen 3400 will be described later. When the business terminal 112 detects that the distribution start button 3409 has been pressed, the business terminal 112 acquires the distribution condition input on the request distribution condition input screen 3400, and proceeds to S505.

  In step S505, the business terminal 112 transmits the request information of the automatic distribution target acquired in step S503 and the distribution conditions acquired in step S3201 to the remote image interpretation server 101.

(Automatic sorting process)
FIG. 33A and FIG. 33B are diagrams showing the processing flow of automatic distribution performed by the remote image interpretation server 101 according to the present embodiment, and correspond to the processing of S507 in FIG.

  In S601, the remote interpretation server 101 acquires various tables stored in the database 108. The tables acquired 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 interpreting doctor exclusion table 2500, an interpreting doctor schedule table 2600, and an interruption facility information table 3500. Examples of the configuration of each table are shown in FIGS. The tables other than the interruption facility information table 3500 are the same as those described in the first embodiment.

  In step S3301, the remote image interpretation server 101 determines whether the division of the similar request is prohibited based on the distribution condition input via the request distribution condition input screen 3400. Specifically, in the setting of the similar request division 3401, it is determined whether the division of the similar request is prohibited. Here, the “similar request” refers to request information similar to each other based on a predetermined attribute. The predetermined attribute here is set on the request distribution condition input screen 3400 shown in FIG. For example, if “same patient” is set as a similar condition on the request distribution condition input screen 3400, interpretation requests for the same patient are treated as similar requests to each other.

  If the division of the similar request is prohibited (YES in step S3301), step S602 is skipped, and the process proceeds to step S3302. If the division of the similar request is not prohibited (NO in S3301), the process proceeds to S602. If the division of the similar request is not prohibited, as in the first embodiment, the interpretation request without the distribution characteristic set is excluded from the distribution target, thereby increasing the efficiency of the distribution process. On the other hand, when the division of the similar request is prohibited, even if the image reading request has no distribution characteristic set, if the request is a similar request, the request is to be distributed. Therefore, in this case, a report having no distribution characteristic is not excluded from distribution targets.

  In step S3302, the remote image reading server 101 confirms the setting of whether to consider an interrupt in the designated automatic distribution distribution condition. Specifically, it is determined whether or not consideration should be given to the setting of the interpretation frame 3406 for interruption on the request distribution condition input screen 3400. Here, “consideration of interruption” means that when the number of readable images is larger than the number of requests, an empty space is created without filling all the frames. In other words, this is a mechanism that allows a high-priority priority request generated after sorting to be interrupted (a high-urgent interpretation request is processed first). With this configuration, even when a priority request occurs after the distribution, the distribution can be performed without releasing the once-determined distribution. If an interrupt is considered (YES in S3302), the flow shifts to the processing in S3303. When the interruption is not considered (NO in S3302), the process proceeds to S603.

  In step S3303, the remote image interpretation server 101 sorts the request information to be automatically sorted. As a sort criterion, the interrupt consideration order 3502 set for the requested facility in the request information in the interrupt facility information table 3500 in FIG. 35 is used as the first sort key. The request date 2704 of the request information in the request information table 2700 in FIG. 27 is used as a second sort key. Then, the sort keys are sorted in ascending order. In other words, as a result of the sorting, the request information located at the higher rank has higher priority and is preferentially distributed. In S3303, the request from the requesting facility having the higher order in the interrupt consideration order 3502 is preferentially sorted. After that, the processing makes a transition to S604.

  After the process of S604, in S3304, the remote image interpretation server 101 generates a link of the similar request for the request information based on the similar request condition (setting items 3402 to 3405) specified in the distribution condition. The remote image interpretation server 101 extracts request information one by one from the top of the request information sorted in S604, and sets a request that satisfies a similar request condition from request information subsequent to the request information as a similar request. Here, it is sufficient that a link is made between similar requests, and a specific link method is not particularly limited. In addition, a configuration may be used in which a similar request is searched for the first time in S3307 described later without setting a link in advance. After that, the processing makes a transition to Step S605.

  In S612, remote image interpretation server 101 compares the distribution target date with the distributable date, and if the date does not exceed the distributable date (YES in S612), shifts to the process of S3305. In step S <b> 3305, the remote image interpretation server 101 determines the total number of remaining image interpretations that can be performed by all image interpreting doctors on the distribution target date when this processing is performed, when the specified automatic distribution distribution condition considers an interrupt. Is determined to exceed the interpretation frame for interruption. Here, the “interpretation interpretation frame” refers to the number of interpretable images that are previously vacated for each distribution target day in consideration of an urgent interruption request. The interpretation frame for interruption is determined for each distribution target day based on the distribution condition frame ratio 3407 and the increase type 3408 set via the request distribution condition input screen 3400 in FIG. For example, when the ratio 3407 of the frame is “5%” and the increase type 3408 is “linear”, and the number of readable radiographs of all the radiographers on the first day of the sorting target day is 200, the ratio of the frame is 5%. Therefore, the interpretation frame for interruption on the first day of the sorting target day is “10”. In addition, when the number of readable radiographs by all the interpreting doctors on the day following the sorting target day is 180, the ratio of the frame is 10% because the increase type is linear, and the interrupting reading frame on the day following the sorting target day is “18 ". The setting of the interpretation frame for interruption will be described later together with the description of the screen.

  If the total number of remaining readable radiographs of all radiologists on the distribution target day at the time of execution of this processing exceeds the interpretation frame for interruption (YES in S3305), the remote interpretation server 101 sets the It is determined that there is no longer any readable image frame on the distribution target day in consideration of the image interpretation frame, and the process shifts to S615. On the other hand, if not exceeded (NO in S3305), the remote image interpretation server 101 determines that distribution is still possible on the distribution target date, and shifts to the processing of S613.

  In S614, the remote image interpretation server 101 determines whether or not the number of distribution candidate interpretation doctors on the distribution target day is 0, and if not (YES in S614), the process proceeds to S3306. . In step S3306, the remote image interpretation server 101 determines whether or not similar request division is prohibited as a condition for automatic distribution, and whether or not there is a similar request in the request to be distributed. If this condition is satisfied (YES in S3306), the remote interpretation server 101 determines that distribution including a similar request is necessary, and shifts to the processing of S3307. On the other hand, if similar request division is permitted as an automatic distribution condition, or if similar request division is prohibited but no similar request exists in the distribution target request (NO in S3307), remote The image interpretation server 101 determines that the distribution of the similar request is unnecessary. Then, the process proceeds to S616.

  In step S <b> 3307, the remote image interpretation server 101 determines whether or not the request for the distribution target and all of the similar requests can be distributed to all the distribution candidate interpretation doctors on the distribution target day, and the distribution candidate interpretation that is possible. Provide a temporary distribution to the physician. Then, the remote image interpretation server 101 excludes, from allotment candidate image interpretation doctors, those other than the image interpretation doctor who can distribute the request to be assigned and all the similar requests. In other words, the remote image interpretation server 101 specifies the request to be sorted and the total number of similar requests to the request, and extracts an image reading doctor having the number of interpretable images equal to or greater than the total number on the distribution target date. Further, the remote image interpretation server 101 calculates the remaining image interpretation possible points of the image interpretation doctor and the sum of the extracted distribution target request and the sum of the respective points of the similar request of the request based on the calculation method described above in S613. . Then, the remote image interpretation server 101 further specifies, from the extracted image interpretation doctors, image interpretation doctors whose remaining image interpretation possible points are equal to or greater than the total value. The interpreting doctor specified in this way becomes a sorting candidate interpreting doctor that can process the request for the assignment and the similar request together. Other interpretation doctors are excluded from the distribution candidate interpretation doctors. After that, the processing makes a transition to Step S616.

  After the processing in S616, in S3308, the remote image interpretation server 101 assigns the one interpreting doctor with the highest allocation appropriateness to the distribution target based on the allocation appropriateness of each of the allocation candidate interpreting doctors calculated in S616. Set in the request distribution information. When there are a plurality of interpreting doctors having the highest degree of sorting appropriateness, for example, the remote image reading server 101 may set one interpreting doctor with a low interpreting doctor ID in the sorting information as a sorting target. Good. If a similar request exists in the distribution target request, the remote image interpretation server 101 determines the one interpretation doctor with the highest distribution appropriateness of the original distribution target request as the distribution information of the similar request. Set to. The similar requests allocated in S3308 are excluded from the subsequent request allocation targets so that the allocation does not overlap.

  In S3309, the remote image interpretation server 101 subtracts one remaining image interpretation possible number from the distribution schedule on the distribution target day for the radiological interpreter to be allocated set in S3308. Further, the remote image interpretation server 101 subtracts the points of the distribution target request from the remaining image interpretation possible points. If a similar request exists in the distribution target request, the remote image interpretation server 101 subtracts the number of all the similar requests from the number of remaining readable images, and further, the points of all the similar requests can be interpreted as remaining. Subtract from points. After that, the processing makes a transition to S620.

[Example of screen configuration]
FIG. 34 shows an example of the configuration of a request distribution condition input screen 3400 displayed on the display of the business terminal 112 when the user of the image interpretation center distributes request information to an image interpretation doctor. The request distribution condition input screen 3400 is displayed, for example, when the automatic distribution button 1504 of the request distribution screen 1500 in FIG. 15 is pressed. When the distribution start button 3409 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 on the request distribution screen 1500 in FIG. . Thereafter, the result of the sorting (FIG. 16) is displayed.

  The similar request division 3401 is an item for setting whether to divide a similar request and permit or prohibit distribution to the radiologist. Here, in the case of prohibition, it is impossible to divide a similar request and assign it to different doctors. The setting items 3402 to 3405 that are similar conditions set conditions for determining similarity in the request information. According to the conditions set here, each interpretation request is classified as a kind of group. For example, if the setting item 3402 is checked, request information for the same patient is treated as similar. Here, similar conditions include the same patient, the same test type, the same test date, and the same request date, but are not limited thereto. That is, any of the attribute information included in the data of each interpretation request can be used as the classification attribute, and in addition to the above, a case where the requester and the request source are the same may be selected.

  The interruption interpretation frame 3406 is an item for setting whether or not to perform distribution in consideration of interruption. The frame ratio 3407 becomes effective when “consider” is selected in the interrupt interpretation frame 3406. The frame ratio 3407 provides, as an option, a percentage (ratio) serving as a criterion for calculating an interrupting interpretation frame based on the total number of readable images. The ratio of the frame may be configured such that a predefined value can be selected, or the user may be allowed to input an arbitrary value. In the increase type 3408, each time the distribution target day elapses one day, the number of interrupted interpretation frames is set to be large, and the rate of increase is specified. As the increase type, “linear”, “exponential”, or the like can be provided as options, but is not limited to this. For example, when "linear" is designated, it means that the value increases linearly with respect to the value of the frame ratio 3407. Specifically, when “5%” is set as the percentage of the frame, the first day, the second day, the third day,. . . , The percentages are 5%, 10%, 15%,. . . Is calculated as

[Table configuration example]
FIG. 35 is a configuration example of the facility information table for interruption 3500 stored in the database 108. The facility information table for interruption 3500 includes a requested facility ID 3501 and an order 3502 when considering interruption. The facility information table for interruption 3500 is used for ordering the request information to be preferentially assigned when considering the interrupt when considering the interruption under the sorting conditions when performing the automatic distribution, for each facility. You.

  In the present embodiment, in the case of automatic distribution, in consideration of interruption, a space is provided for the number of readable images and distribution is performed. When the request information set to a high degree of urgency is received after the distribution, the user may manually assign the request information set to a high degree of urgency to the radiologist, including the vacant portion. . Alternatively, the remote image interpretation server may execute the automatic distribution again, and distribute the request information set with a high degree of urgency, including empty portions, while maintaining the already distributed request information.

  When the remote image interpretation server automatically sorts the request information set with a high degree of urgency, automatic distribution may be performed at the timing of receiving the request information set with a high degree of urgency. Alternatively, the reception of the request information may be monitored periodically, and if the request information has been received, automatic distribution may be performed. Further, when request information set with a high degree of urgency is sorted, the remote image reading server may notify the image reading doctor who is the sorting destination.

<Other embodiments>
The present invention is also realized by executing the following processing. That is, software (program) for realizing the functions of the above-described embodiments is supplied to a system or apparatus via a network or various storage media, and a computer (or CPU, MPU, or the like) of the system or apparatus reads the program and reads 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)

And request information about the reading shadows request obtaining means for obtaining a radiologist information about interpreting doctor from the storage unit,
A plurality of the obtained request information, the interpreting doctor information for each interpreting doctor, and a display control means for displaying a display item for receiving an instruction to extract an interpreting doctor in accordance with a predetermined condition on a display unit,
A selection receiving unit that receives a selection of request information from a user among the plurality of displayed pieces of request information ,
When the displayed interpreting doctor information is selected by the user, the interpreting doctor corresponding to the selected interpreting doctor information is set as an interpreting doctor in charge of interpreting the selected request information , When the displayed display item is selected by the user , setting means for setting an image reading doctor extracted according to the predetermined condition as an image reading doctor in charge of image reading related to the selected request information ,
An information processing system comprising: The setting means, characterized in that the one of the plurality of request information displayed, not set radiologist responsible for interpretation regarding request information that is not the selected information processing system according to claim 1. After result set is displayed by the setting unit, further characterized by having a request destination confirmation accepting means for accepting the selection of whether to confirm the settings have been radiologist claim 1 or 2 An information processing system according to claim 1. After result set is displayed by the setting unit, further characterized by having a request destination cancel acceptance means for accepting a selection of whether cancel the settings have been radiologist, according to claim 3 Information processing system. Wherein the display control unit, as a result of being set by the setting unit, a plurality of request information which the acquired, the radiologist is the set, and interpretation date said read shadow doctor then interprets for, in association with a The information processing system according to claim 4 , wherein the information is displayed on the display unit . Wherein the display control unit, in response to selection of which is accepted by the request destination cancel receiving means, and controlling so as to hide said interpretation date and the radiologist to claim 5 The information processing system as described. The display control means causes the display unit to display a request information list for displaying a list of attribute information included in the plurality of pieces of request information ,
The selection accepting unit may accept the selection of the request information in the request information list, the information processing system according to any one of claims 1 to 6. The interpreting doctor information includes schedule information on the schedule of the interpreting doctor,
The setting means, after accepting the selection of the request information by the selection receiving unit, when a predetermined time in the schedule information read Kagei is selected, the interpreting doctor corresponding to the selected schedule information, and sets as the radiologist responsible for interpretation related to the selected request information, the date on which the interpretation is performed and sets to the predetermined time, to any one of claims 1 to 7 The information processing system as described. Acquisition means of the information processing system, request information regarding the interpretation request , and an acquisition step of acquiring the interpretation doctor information regarding the interpretation doctor from the storage unit ,
The display control means of the information processing system, a plurality of the obtained request information, the interpreting doctor information for each interpreting doctor, and a display item for receiving an instruction to extract the interpreting doctor according to predetermined conditions A display control step of displaying on the display unit,
A selection receiving step of receiving a selection of request information from a user among the displayed plurality of pieces of request information ,
When the displayed interpreting doctor information is selected by the user, the setting unit of the information processing system determines the interpreting doctor corresponding to the selected interpreting doctor information, and interprets the interpretation regarding the selected request information. When the displayed display item is selected by the user, the interpreting doctor extracted according to the predetermined condition is set as an interpreting doctor in charge of interpreting the selected request information. A setting process for setting as an image reading doctor ,
A method for controlling an information processing system, comprising: And request information about the reading shadows request obtaining means for obtaining a radiologist information about interpreting doctor from the storage unit,
A plurality of the obtained request information, the interpreting doctor information for each interpreting doctor, and a display control means for displaying a display item for receiving an instruction to extract an interpreting doctor in accordance with a predetermined condition on a display unit,
A selection receiving unit that receives a selection of request information from a user among the plurality of displayed pieces of request information ,
When the displayed interpreting doctor information is selected by the user, the server sets the interpreting doctor corresponding to the selected interpreting doctor information as an interpreting doctor in charge of interpreting the selected request information. When the user instructs the apparatus, and the displayed display item is selected by the user, an image reading doctor is extracted according to the predetermined condition, and the extracted image reading doctor is associated with the selected request information. Setting means for instructing the server device to be set as an image reading doctor in charge of image reading ;
An information processing apparatus comprising: Acquisition means of the information processing apparatus, request information regarding the interpretation request, and an acquisition step of acquiring the interpretation doctor information regarding the interpretation doctor from the storage unit,
The display control means of the information processing apparatus, the plurality of obtained request information, the interpreting doctor information for each interpreting doctor, and a display item that accepts an instruction to extract an interpreting doctor according to predetermined conditions A display control step of displaying on the display unit,
A selection receiving step of receiving selection of request information from a user, by the selection receiving unit of the information processing apparatus, among the plurality of displayed request information;
The setting unit of the information processing apparatus, when the displayed interpreting doctor information is selected by the user, sets the interpreting doctor corresponding to the selected interpreting doctor information to interpret the interpretation related to the selected request information. The server device is instructed to be set as an interpreting doctor in charge, and when the displayed display item is selected by the user, an interpreting doctor is extracted according to the predetermined condition, and the extracted interpreting doctor is extracted. A setting step of instructing the server device to set as an image reading doctor in charge of image reading related to the selected request information,
A method for controlling an information processing apparatus, comprising: A program for causing a computer to function as the information processing device according to claim 10 .

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