JP2019087288A - Information processor, information processing method and program - Google Patents

Abstract

To provide a medical reduction image with high perspicuity.SOLUTION: The information processor comprises: acquisition means for acquiring medical information of a patient; extraction means for extracting as a material candidate of a medical reduction image, a part of the medical information; selection means for adding priority to the plural material candidates extracted, and selecting material candidates used for generation of the medical reduction image out of the plural material candidates on the basis of priority; and generation means for generating the medical reduction image on the basis of the plural materials selected.SELECTED DRAWING: Figure 3

Description

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

In recent years, with the spread of medical information systems such as a hospital information system (HIS), an image storage communication system (PACS), and a radiology information system (RIS), computerization of medical images and medical documents has progressed.
As a result, medical images such as medical images such as X-ray images, CT images, and MRI images and medical documents such as medical treatment records are digitized, and patient information to be handled becomes enormous.
Therefore, a medical information system has begun to be introduced into the hospital as a system for integrating information of medical images and medical documents and making it easier to view patient information.
The medical information system is introduced to an information terminal operated by medical staff such as a doctor, and it is possible to comprehensively view and confirm a patient's medical image and medical document on a monitor connected to the information terminal. It is possible.
More specifically, the medical information processing system displays an arbitrary reduced medical image in a screen having a time-series axis and an axis of a medical image machine (modality device) as a matrix structure.
However, in a medical information system in which various types of reduced medical images are displayed, the number of reduced medical images displayed is enormous, and it is not easy for the user to extract desired information in a short time. Further, in the medical information system, since the display area of the reduced medical image is limited, generally only one reduced medical image can be displayed.

Then, in order to solve such a subject, examination of the extraction and the display method of the image used for a medical reduced image is performed.
In Patent Document 1, by making the management mechanism of reduced medical images simple, it is possible to determine the creation time when generating a reduced medical image from a large amount of original images, and create the reduced medical images more efficiently. It is possible. As the reduced medical image generated here, one representative image (key image) extracted from a plurality of images possessed by the modality is used.
As a general method of extracting a key image, there is a technique using an image corresponding to a central slice of a captured image group. However, when a key image is used to view a small image such as a medical reduced image, there is a problem that visual image quality is degraded and visibility is reduced.
In order to solve this, according to Patent Document 2, it is possible to cut out an image for each area from within one image and create a reduced image using a part of the image.

Japanese Patent Application Laid-Open No. 7-168845 Unexamined-Japanese-Patent No. 2005-56390

  However, the technique of Patent Document 2 has a problem that a reduced medical image is not necessarily generated in consideration of the list property desired by the user.

  An object of the present invention is to generate a medical reduced image having a high degree of inventory.

  Therefore, the information processing apparatus according to the present invention includes an acquisition unit that acquires medical information of a patient, an extraction unit that extracts a part of the medical information as a material candidate of a medical reduced image, and the plurality of extracted material candidates. Selection means for adding a priority and selecting a material to be used for generating the medical reduced image from the plurality of material candidates based on the priority, and the medical reduced image based on the selected plurality of materials And generating means for generating

  According to the present invention, it is possible to generate a medical reduced image having high listability.

It is a figure which shows an example of schematic structure of a medical information trap system. It is a figure which shows an example of a function structure of a medical reduced image processing apparatus. It is a figure which shows the flow of the information processing of a medical reduced image processing apparatus. It is a flowchart which shows an example of the information processing of step S302. It is a flowchart which shows an example of the information processing of step S304. It is a flowchart which shows an example of the information processing of step S306. It is a figure for demonstrating the automatic production | generation of the medical reduced image of an interpretation report. It is a figure for demonstrating the automatic production | generation of the medical reduced image of a medical inquiry sheet.

  Hereinafter, embodiments of the present invention will be described based on the drawings.

First Embodiment
FIG. 1 is a diagram showing an example of a schematic configuration of a medical information system including a reduced medical image processing apparatus.
In FIG. 1, a modality 101, HIS 102 as an in-hospital system, RIS 103, PACS 104, a reduced medical image processing apparatus 105, and a cloud 112 as an information recording unit are connected to a network 100 in a mutually communicable state.
The modality 101 generates image data that two-dimensionally or three-dimensionally represents the site by imaging the examination target site of the subject. The medical information processing system includes an apparatus for adding incidental information defined by the DICOM standard to the image data and outputting it as image information. The image data may include text information attached to the image. Also, the captured medical image is transmitted to the HIS 102, RIS 103, and PACS 104 via the network 100.
The HIS 102 includes an HIS information display unit 102 a, an HIS information control unit 102 b, and an HIS information recording unit 102 c. The HIS information may be recorded in the HIS information recording unit 113 in the cloud 112 in addition to the HIS information recording unit 102c.
In the HIS information recording unit 102c and the HIS information recording unit 113 in the cloud 112, the name, gender, age, height, weight, nationality and the like are recorded as personal information of the patient. In addition, as medical information of the patient, general information about the patient in the hospital such as patient's medical condition, medical history, test results, diagnosis result, German-English report, medical image and the like is recorded.
The HIS information control unit 102b may be implemented as hardware on the HIS 102 or may be implemented as software. When implemented as software, the HIS 102 includes at least a CPU and a memory as hardware. Then, the CPU executes processing based on the program stored in the memory, whereby the HIS information control unit 102b functions as software.

The RIS 103 includes a RIS information display unit 103a, a RIS information control unit 103b, and a RIS information recording unit 103c. The RIS information may be recorded in the RIS information recording unit 114 in the cloud 112 in addition to the RIS information recording unit 103c.
In the RIS information recording unit 103c and the RIS information recording unit 114 in the cloud 112, general information on examination reservation information is recorded, including recordings of examination results and treatments by non-radiation equipment such as ultrasound, endoscope, and fundus. Be done.
The RIS information control unit 103b may be implemented in the RIS 103 as hardware or may be implemented as software. When implemented as software, the RIS 103 includes at least a CPU and a memory as hardware. Then, the RIS information control unit 103b functions as software by the CPU executing processing based on the program stored in the memory.
The PACS 104 includes a PACS information display unit 104a, a PACS information control unit 104b, and a PACS information recording unit 104c. The PACS information may be recorded in the PACS information recording unit 115 in the cloud 112 in addition to the PACS information recording unit 104c.
In the PACS information recording unit 104c and the PACS information recording unit 115 in the cloud 112, a medical image and information attached thereto are registered. The accompanying information includes an image ID for identifying each image, a patient ID for identifying a subject, and general information on medical images such as examination date and examination time. In addition, when an interpretation report is created, general information on interpretation such as an interpretation doctor's name, an interpretation image, findings, etc. is also recorded.
The PACS information control unit 104b may be implemented as hardware on the PACS 104 or as software. When implemented as software, the PACS 104 includes at least a CPU and a memory as hardware. Then, the PACS information control unit 104b functions as software by the CPU executing processing based on the program stored in the memory.

The medical reduced image processing apparatus 105 includes a transmission / reception unit 106, a control unit 107, an information management unit 108, an information recording unit 109, and a display unit 110.
The display unit 110 displays a list of reduced medical images 111. The display form of the medical reduced image 111 is not limited. The display unit 110 displays the list of reduced medical images 111, which facilitates confirmation of patient information.
The transmission / reception unit 106, the control unit 107, and the information management unit 108 may be implemented as hardware in the reduced medical image processing apparatus 105 or as software. When implemented as software, the medical reduced image processing apparatus 105 includes at least a CPU and a memory as hardware. Then, the CPU performs processing based on the program stored in the memory, whereby the transmission / reception unit 106, the control unit 107, and the information management unit 108 function as software.
The cloud 112 is a system in which a plurality of computers are connected via a network, and provides a Web service (a service related to information storage in the present embodiment) to other devices via the network 100. In the cloud 112, an information recording unit 109 may be included.

FIG. 2 is a diagram showing an example of a functional configuration of the reduced medical image processing apparatus.
In FIG. 2, the reduced medical image processing apparatus 105 is configured to include a transmission / reception unit 106, a control unit 107, an information management unit 108, an information recording unit 109, and a display unit 110.
The control unit 107 includes a medical information system control unit 201 and a medical reduced image information control unit 202. The medical information system control unit 201 arranges the information by a specified method such as arranging in chronological order with respect to the patient information such as the HIS 102, RIS 103, PACS 104, etc. via the transmission / reception unit 106 connected to the network 100. Displayed on the part 110. Further, the medical reduced image information control unit 202 centrally controls the generated medical reduced image.
The information management unit 108 includes a medical information system system information management unit 203 and a medical reduced image information management unit 204. The medical reduced image information management unit 204 includes a medical information acquisition unit 205, an image material extraction unit 206, and a configuration determination unit 207. The medical information acquisition unit 205 acquires the medical information of the patient included in the HIS 102, the RIS 103, the PACS 104 and the like via the transmission / reception unit 106 connected to the network 100. Further, the image material extraction unit 206 extracts a part of a plurality of medical images or medical documents based on the medical information of the patient. The configuration determining unit 207 determines the configuration of the reduced medical image by using the image material.

FIG. 3 is a diagram showing the flow of information processing of the reduced medical image processing apparatus.
In FIG. 3, the medical reduced image information management unit 204 executes the following processing.
The medical information acquisition unit 205 acquires medical information of the patient included in the HIS 102, RIS 103, PACS 104, etc., via the network 100 (step S301).
The image material extraction unit 206 automatically extracts a medical reduced image material candidate group determined to be necessary for each medical department or disease based on the acquired medical information (step S302). The process of step S302 will be described in detail with reference to FIG. 4 described later.
The image material extraction unit 206 temporarily registers the automatically extracted image, characters, and the like (step S303).
The image material extraction unit 206 selects a medical reduced image material to be actually used from the group of candidate medical reduced images temporarily registered in step S303 (step S304). The process of step S304 will be described in detail using FIG. 5 described later.
The image material extraction unit 206 temporarily registers the reduced medical image material selected in step S304 in the material confirmation list (step S305).
The configuration determining unit 207 arranges the image, characters, and the like registered in step S305 in the template of the medical reduced image according to the size of the medical reduced image, and generates a medical reduced image (step S306). The process of step S306 will be described in detail using FIG. 6 described later.
The configuration determining unit 207 saves the medical reduced image, which has been arranged in step S306 and has been generated, in the file format (jpg, png, etc.) set as one image in the medical reduced image confirmation list (step S307) .
As described above, the medical reduced image is generated by the steps S301 to S307.

FIG. 4 is a flowchart showing an example of the information processing of step S302.
The medical information of the patient acquired in step S301 includes an interpretation report, a medical examination table, a medical document of a request prescription, an examination result of a CT image and an X-ray image, a patient's SOAP, an electronic medical record including a medical history and the like. Etc. information is included. In addition, S of SOAP represents subjective data, that is, subjective symptoms of the patient. SOAP O represents objective data, ie objective findings from physical examination and examination. SOAP's A represent assessments, ie evaluations taken from S and O. SOAP P denotes a plan based on plan, ie S, O, A.
The image material extraction unit 206 extracts, from the patient information acquired in step S301, a part of a medical image, a medical document, or the like that can be a material of a reduced medical image (step S302).

First, the image material extraction unit 206 determines whether the processing target is a medical image or not based on medical information or the like of the patient (S401). When the processing target is a medical image, the image material extraction unit 206 proceeds to step S402, and when it is not a medical image, proceeds to step S403.
In step S402, the image material extraction unit 206 executes a medical image extraction process, and acquires a part of the medical image as a medical reduced image material. Details of the process of step S402 will be described later.
On the other hand, in step S403, the image material extraction unit 206 executes a medical document extraction process, and acquires a part of the medical document as a medical reduced image material. Details of the process of step S403 will be described later.
In step S404, the image material extraction unit 206 adds tags to the acquired reduced medical image materials. For example, the image material extraction unit 206 adds a tag corresponding to the type to the medical reduced image material according to the type or the like of the acquired medical reduced image material. As the type, for example, there are a representative image (key image), a diagnosis name, a main complaint, and the like. The type or tag is an example of attribute information.

The process of FIG. 4 will be described more specifically. If the medical information of the patient acquired in step S301 is a CT image, YES is determined in step S401, and the process proceeds to step S402. The image material extraction unit 206 determines YES in step S401 if the medical information of the patient is only a medical image, and determines NO in step S401 if the medical information of the patient is not only a medical image. That is, when medical information includes information other than a medical image such as a character string, the image material extraction unit 206 determines NO in step S401 even if the medical information of the patient includes an image.
In step S402, the image material extraction unit 206 extracts a representative image (key image) from the CT image as a medical reduced image material candidate. More specifically, the image material extraction unit 206 specifies a key image from the CT image using an image recognition technique or the like, and a rectangular area including a mark in the specified key image is one of the medical reduced image material candidates. Extract as This is because there is a high possibility that a mark such as an arrow is described at the lesion site in the key image.

  If the patient's medical information acquired in step S301 is scan data of a scanned medical examination table, NO is determined in step S401, and the process proceeds to step S403. In step S403, the image material extraction unit 206 extracts, from the scan data of the interview sheet, a description point such as a human body diagram described in the interview sheet as a main complaint or a time when the main complaint starts to appear as a medical reduced image material candidate. General questionnaires are standardized for each hospital and department. For example, the image material extraction unit 206 identifies a hospital or a medical department from a predetermined area of the medical questionnaire, acquires information on a template of the medical questionnaire standardized for each hospital or medical department, and is determined by the template. The corresponding data is acquired based on the area information. The image material extraction unit 206 may specify a hospital or a medical department from the interview sheet using image recognition technology or the like.

If the medical information of the patient acquired in S301 is an electronic medical chart, NO is determined in step S401, and the process proceeds to step S403. In step S403, the image material extraction unit 206 extracts, from the electronic medical record, a description location such as a SOAP, a diagnostic name, or an item to be noted. In the case of the electronic medical record, the location information and the like of the described part such as the SOAP, the diagnostic name, and the item to be noted are set in advance. Therefore, for example, the image material extraction unit 206 extracts the described part such as the SOAP, the diagnostic name, the item to be described, etc. from the corresponding place of the electronic medical record based on the set place information and the like.
In FIG. 4, the process in which the image material extraction unit 206 extracts a part of a medical image, a medical document, or the like that can be the material of the reduced medical image from the patient information has been described. However, the image material extraction unit 206 may extract part of both the medical image and the medical document as material candidates of the medical reduced image.
Moreover, in FIG. 4, it demonstrated as what the image material extraction part 206 extracts a medical reduced image material candidate automatically. However, the image material extraction unit 206 inquires the operator of the reduced medical image processing apparatus 105, and based on the selection operation by the operator, the image, the character string, etc. of the selected part are medical reduced image material candidates. It may be extracted as

FIG. 5 is a flowchart showing an example of the information processing of step S304.
Since the reduced medical image material that can be reflected on the form is limited due to the size of the form of the reduced medical image and the like when generating the reduced medical image, it is necessary to determine the reduced medical image material to be used for the reduced medical image.
Therefore, the image material extraction unit 206 selects the medical reduced image material to be actually used from the group of candidate medical reduced images temporarily registered in step S303. Determine the number of materials to be placed in the reduced image.

The image material extraction unit 206 collects medical reduced image material candidates with tags of the same name based on the tag specified in step S404 (step S501). The image material extraction unit 206 determines the priorities of the medical reduced image material candidates with the same name as shown below.
The image material extraction unit 206 urges the operator of the reduced medical image processing apparatus 105 to select a priority setting (a rule indicating a priority setting) via a screen or the like. Then, the image material extraction unit 206 acquires and designates the method of assigning the priority selected by the operator via the screen or the like (S502). Note that the image material extraction unit 206 may automatically specify the method of assigning priorities in accordance with the medical information and the like of the patient acquired in S301.
The image material extraction unit 206 prioritizes the medical reduced image material candidates based on the designated priorities (S 503).

Hereinafter, the process of S503 will be described using a more specific example.
In the case of automatically generating a medical reduced image of an interpretation report, the key image and the diagnosis name, and the place where the interpretation doctor estimates the disease have high priority. In particular, in order to function as a medical reduced image, visual information is required. Therefore, the image material extraction unit 206 sets the first priority as the key image, the second as the diagnosis name, the location where the disease is analogized, or the like. The medical reduced image material of the same rank, such as the diagnosis name and the description of the location where the disease is inferred, the image material extraction unit 206 sets the material determined to have a high priority from the diagnosis support technology etc. . In the case of automatically giving priority, setting information such as which priority is given first according to what medical reduced image is automatically generated is recorded in, for example, the information recording unit 109 or the like. It shall be. The image material extraction unit 206 gives priority based on the setting information.
In the case of automatically generating a medical reduced image of a medical interview sheet, the priority differs depending on the medical department. In the case of internal medicine, since the main complaint and the time when the main complaint began to appear is important, the image material extraction unit 206 sets the first priority as the main complaint and the second as the timing when the main complaint starts to appear. In the case of orthopedics and dermatology, since the main complaint is often added to the human figure described in the medical examination table, the image material extraction unit 206 has the first priority on the human figure, the second on the main complaint, etc. (Step S503).
When the medical reduced image of the electronic medical record is automatically generated, the image material extraction unit 206 sets the first priority as SOAP or a diagnostic name, and the second as an item to be specially described (step S503).
In the case of automatically generating a medical reduced image of the examination result, the image material extraction unit 206 is the first priority in the case of a medical image as an image of a lesion site or in the case of a numerical value of the examination result. The position is an abnormal value, a numerical value or the like for which the follow-up observation is to be performed, etc. (step S503).

When the priority of the medical reduced image material candidate is determined, the image material extraction unit 206 designates the number of reduced medical image materials to be reflected as a medical reduced image (step S504). The image material extraction unit 206 determines the number of medical reduced image materials based on the size of the medical reduced image (format of the medical reduced image). More specifically, in the case of automatically determining by the size of the medical reduced image, the image material extraction unit 206 performs medical treatment in three (large, medium, small) to five stages (oversized, large, medium, small, special) The size of the format of the reduced image is classified, and the number of materials is determined according to the size of the format of the medical reduced image. The image material extraction unit 206 includes the number of materials of the medical reduced image included in the small range of about 1 to 2 and the number of the material of the reduced medical image included in the middle range includes the number of materials of about 2 to 4 The number of materials of the reduced medical image to be obtained is about three to five. In addition, it is not necessary to limit to the classification method mentioned above.
As described above, the image material extraction unit 206 may automatically determine the number of reduced medical image materials based on the size of the format of the reduced medical image, or is specified according to the selection operation of the operator via a screen or the like. You may. However, due to the nature of the medical reduced image, when a plurality of images are inserted into the format of the medical reduced image, the visibility is reduced, so the number of divisions should be limited according to the size of the medical reduced image format. Therefore, even when the designation is performed according to the selection operation of the operator, the image material extraction unit 206 may limit the number that can be designated according to the size of the format of the medical reduced image.
The image material extraction unit 206 extracts medical reduced image materials from medical reduced image material candidates by the number of materials specified in step S504 sequentially from the high priority medical reduced image materials attached in step S503 (step S505).

FIG. 6 is a flowchart showing an example of the information processing of step S306.
The configuration determining unit 207 divides the area of the format of the medical reduced image by the number (the number of reduced medical image materials) designated in step S504 in FIG. 5 (step S601).
The configuration determining unit 207 determines whether there is a medical reduced image material to be arranged (step S602). The configuration determining unit 207 proceeds to step S603 if there is a medical reduced image material to be arranged, and proceeds to step S604 if there is no medical reduced image material to be arranged. If there is a medical reduced image material for which the process related to FIG. 6 has not been completed yet among the medical reduced image materials for the number of reduced medical image materials extracted in S505, the configuration determination unit 207 determines the medical reduction to be arranged. It is determined that the image material is present.
In step S603, the configuration determining unit 207 sets the largest area in which the medical reduced image material having the highest priority among the medical reduced image materials for which the process according to FIG. 6 is not completed can be arranged in the format of the medical reduced image. Zoom in or out. The configuration determining unit 207 repeats the processes of steps S602 and S603 until there is no medical reduced image material to be arranged, and then arranges the medical reduced image material in the format of the medical reduced image (step S604). As described later, in the format of the medical reduced image, an area in which the medical reduced image material is to be arranged is predetermined. The configuration determining unit 207 arranges the medical reduced image materials in the area where the area of the format of the medical reduced image is large, in order from the medical reduced image material having the highest priority.
When the arrangement is completed, the configuration determination unit 207 saves the reduced medical image in the set image format or the like as shown in step S307 of FIG.

FIG. 7 is a diagram for explaining automatic generation of a medical reduced image of an interpretation report.
In step S301 in FIG. 3, the medical information acquisition unit 205 acquires a diagnostic report of the patient. Thereafter, in step S302 in FIG. 3, the image material extraction unit 206 extracts candidate groups of reduced medical image materials. In the case of the interpretation report, the key image 701a, the time 701b when the main complaint starts to be issued, the diagnostic findings and the diagnostic name 701c, etc. are extracted as candidate reduced image material candidates.
In step S304 in FIG. 3, the image material extraction unit 206 prioritizes the medical reduced image material candidates. In the case of an interpretation report, for example, the image material extraction unit 206 sets the key image 701a as the first priority, the time 701b when the main complaint starts to be given as the second priority, and the diagnosis findings and the diagnosis name 701c as the third priority. It will be a rank.
Further, since the number of materials of the medical reduced image of FIG. 7 is designated as 3, the area ratio becomes higher in order from the medical reduced image material having the highest priority in step S306 of FIG. That is, the medical reduced image material having higher priority is arranged such that the proportion thereof in the reduced medical image is not large. In the case of FIG. 7, the area of the key image 701a is scaled up or down so as to be the largest possible area (702a). The time 701b when the main complaint began to appear and the diagnostic findings and the diagnosis name 701c are scaled up and down so as to be the maximum area that can be placed within the range excluding 702a, and the diagnostic findings The diagnosis name 701c is disposed at 702c. The configuration determination unit 207 may use not only enlargement / reduction, but also deformation or the like as the process of adjusting the arrangement to the maximum possible area.
By arranging all the medical reduced image materials, a medical reduced image of the radiogram interpretation report is generated as shown in 703 of FIG. 7 in step S307 of FIG. 3 and stored in the set file format.

FIG. 8 is a diagram for explaining automatic generation of a medical reduced image of a medical inquiry table.
In step S301 in FIG. 3, the medical information acquisition unit 205 acquires a patient questionnaire. Thereafter, in step S302 in FIG. 3, the image material extraction unit 206 extracts candidate groups of reduced medical image materials. In the case of the questionnaire, the human body diagram 801a, the cause 801b of the main complaint, the site 801c of the disease, the size of the pain 801d, the supplement 801e of the cause of the main complaint, the timing 801f of the main complaint, the supplement 801g of the timing of the main complaint, etc. Extracted as a candidate group of The image material extraction unit 206 gives priority to the extracted material in step S304 in FIG. In the case of the patient's interview sheet, the image material extraction unit 206 adds, for example, the human body diagram 801 a to the first priority, the cause 801 b of the main complaint, and the second priority. Similarly, as shown in FIG. 8, the image material extraction unit 206 adds priorities to medical reduced image material candidates.
Further, since the number of materials of the medical reduced image of FIG. 8 is designated as 2, the area ratio becomes higher in order from the medical reduced image material having the highest priority in step S306 of FIG. In the case of FIG. 8, the area of the human figure 801a is scaled up or down so as to be the maximum possible area (802a). The cause 801b of the main complaint is arranged so as to be the largest area that can be arranged within the range excluding 802a (802b). The configuration determination unit 207 may use not only enlargement / reduction, but also deformation or the like as the process of adjusting the arrangement to the maximum possible area.
By arranging all the medical reduced image materials, a medical reduced image of the medical inquiry table is generated as shown at 803 in step S307 of FIG. 3 and stored in the set file format.
7 and 8 illustrate an example of automatically generating a medical reduced image from a radiogram interpretation report or a medical examination table as an example of a more specific process of automatic generation of a medical reduced image, but the data that is the source of the medical reduced image is It is not limited to these.

Second Embodiment
In the medical information system, it is required to instantly confirm the past and present conditions of the patient. Therefore, in the medical information processing system, a plurality of reduced medical images of the first embodiment may be displayed (display control) on the display unit 110 or the like, and may be used as medical examination support for a patient.
In addition, in the information processing apparatus (computer), a reduced medical image may be displayed, and informed consent may be implemented, or the like, and may be used as explanatory material for the patient.
The created medical reduced image may be printed and used, or the created medical reduced image data may be reused in another system.

<Other Embodiments>
The present invention supplies a program that implements one or more functions of the above-described embodiments to a system or apparatus via a network or storage medium, and one or more processors in a computer of the system or apparatus read and execute the program. Can also be realized. It can also be implemented by a circuit (eg, an ASIC) that implements one or more functions.

  As described above, according to the above-described embodiments, a reduced medical image having high listability can be generated. In addition, medical staff can quickly grasp the patient's situation by displaying a reduced medical image with high listability in a medical information system or the like. The reduced image is, for example, an icon or the like.

Reference Signs List 105 medical reduced image processing apparatus 106 transmission / reception unit 107 control unit 108 information management unit 109 information recording unit 110 display unit

  Therefore, the information processing apparatus according to the present invention extracts a character string as a first material from the medical document, an acquisition unit for acquiring medical information of a patient including a medical document and a medical image, and the second medical image An extraction unit for extracting the first material, and an allocation unit for assigning a first priority to the first material, and a second priority higher than the first priority to the second material; Generating a reduced medical image by combining the first material and the second material such that the area of the second material is greater than the area of the first material according to the assigned priority And generating means.

Claims (13)

Acquisition means for acquiring patient's medical information;
An extraction unit that extracts a part of the medical information as a candidate material of the medical reduced image;
A selection unit that adds a priority to the plurality of extracted material candidates, and selects a material to be used to generate the reduced medical image from the plurality of material candidates based on the priorities;
Generation means for generating the reduced medical image based on the plurality of selected materials;
An information processing apparatus having The extraction means adds attribute information to the material candidate when extracting the plurality of material candidates,
The selection means adds a priority to the plurality of material candidates based on the added attribute information, and selects a material to be used to generate the reduced medical image from the plurality of material candidates based on the priority. The information processing apparatus according to claim 1. It further comprises a designation means for designating a rule indicating how to set the priority,
The information processing apparatus according to claim 2, wherein the selection unit adds a priority to the plurality of material candidates based on the added attribute information and the rule.   The information processing apparatus according to claim 3, wherein the specification unit specifies a rule indicating how to assign a priority according to a selection operation via a screen. The information processing apparatus further comprises determination means for determining the number of materials used to generate the reduced medical image.
5. The method according to claim 1, wherein the selecting unit selects the determined number of material candidates from among the plurality of material candidates based on the priority as materials to be used for generating the reduced medical image. Information processing equipment.   The medical image reduction method according to any one of claims 1 to 5, wherein the generation means generates the medical reduced image such that a material candidate having a higher priority among the plurality of selected materials is larger in proportion to the medical reduced image. Information processing device.   When the extraction unit extracts a part of a medical image included in medical information as a material candidate of a medical reduced image, the extraction unit extracts an area including a mark from among representative images as a material candidate of the medical reduced image. Through 7. The information processing apparatus according to any one of the above.   8. The extraction method according to claim 1, wherein when extracting a part of the medical document included in the medical information as a material candidate of a medical reduced image, the extraction unit extracts an area including a lesion as a material candidate of the medical reduced image. An information processing apparatus according to item 1.   The said extraction means extracts either a medical image or a medical document or a part of both as a raw material candidate of a medical reduced image according to the medical department or the information of a disease contained in the said medical information. An information processing apparatus according to any one of the preceding items.   The information processing apparatus according to any one of claims 1 to 9, further comprising display control means for displaying the plurality of reduced medical images generated by the generation means.   The selection means adds a priority to the plurality of material candidates based on a medical department included in the medical information, and uses the generated material reduced image among the plurality of material candidates based on the priority. The information processing apparatus according to claim 1, wherein a material is selected. An information processing method executed by the information processing apparatus;
An acquisition step for acquiring patient's medical information;
An extraction step of extracting a part of the medical information as a material candidate of the medical reduced image;
A selection step of adding a priority to the plurality of extracted material candidates, and selecting a material to be used for generating the medical reduced image from among the plurality of material candidates based on the priority;
Generating the medical reduced image based on the plurality of selected materials;
Information processing method including: On the computer
An acquisition step for acquiring patient's medical information;
An extraction step of extracting a part of the medical information as a material candidate of the medical reduced image;
A selection step of adding a priority to the plurality of extracted material candidates, and selecting a material to be used for generating the medical reduced image from among the plurality of material candidates based on the priority;
Generating the medical reduced image based on the plurality of selected materials;
A program to run a program.

Images