JP2019109809A - Interpretation report creation device and program - Google Patents

Abstract

To prevent overlooking of an item indicated by a radiologist in an interpretation report.SOLUTION: An interpretation report creation device acquires inspection order related to image inspection (step S21), extracts a predetermined character string from the inspection order, and specifies a category corresponding to the predetermined character string (step S22). The interpretation report creation device acquires a first interpretation report created for a medical image photographed on the basis of the inspection order (step S24), extracts the predetermined character string from the first interpretation report, and specifies a category corresponding to the predetermined character string (step S25). The interpretation report creation device compares the inspection order with the first interpretation report to determine the degree of correlation between the inspection order and first interpretation report (step S27), and creates a second interpretation report in which a portion determined to have a correlation with the inspection order in the first interpretation report lower than a predetermined reference is highlighted (step S28).SELECTED DRAWING: Figure 8

Description

  The present invention relates to an interpretation report creation apparatus and program.

  Conventionally, in the medical field, modalities such as X-ray imaging apparatus (DR, CR), ultrasound diagnostic apparatus (US), CT (Computed Tomography), MRI (Magnetic Resonance Imaging) etc. An imaging examination is being performed. The attending physician determines the necessary examination from the patient's condition and issues an examination order to the modalities in the medical facility.

  For the purpose of requesting an imaging examination by the attending physician, the follow-up after the operation is started, the condition confirmation of the medical condition and the confirmation of the treatment plan are mainly performed. The attending doctor requests the examination technician to perform an imaging examination in a range (for example, the entire abdomen) which sufficiently covers the target area.

  Also, for medical images taken by modality, it is customary for the attending physician to request an image interpretation doctor for image diagnosis, and the image interpretation doctor creates an image diagnosis report (hereinafter referred to as an image interpretation report). The attending physician diagnoses while referring to the interpretation report created by the interpreting doctor.

  In addition, in a system that creates an interpretation report on medical images taken based on an examination request from the client, the interpreting doctor sets the importance in the interpretation report that indicates the degree of importance of the interpretation result, and based on the importance There is proposed a technique for transmitting a message to a client when it is determined that an emergency response is required for a patient (see Patent Document 1).

JP, 2009-075927, A

  However, when an interpreting doctor is asked to interpret by the attending physician, the interpreting doctor interprets not only the target area but all the photographed image ranges, and then creates an interpreting report. If the doctor included a description of an organ that was not predicted or a content outside the specialization field in the interpretation report, it might have overlooked an indicated item in the interpretation report. For example, the image reading doctor may refer to a tumor of the large intestine in an interpretation report with respect to a medical image in which the entire abdomen is photographed for the purpose of diagnosis of the ovary region. In this case, there is a problem that the patient is not recognized as having another disease and is left alone.

  In particular, if an emergency operation is necessary, etc., the attending physician will ask the interpreting physician for interpretation, but the attending physician will perform the interpretation first and do treatment / surgery without waiting for the image diagnosis result by the interpretation doctor is there. If an interpretation report pointed out by an interpreting doctor with an abnormality in a region not predicted by the attending physician is sent to the attending physician after the treatment for the patient has been completed, the attending physician has finished the treatment for the original purpose of treatment And may not pay attention to the interpretation report.

  The technology described in Patent Document 1 transmits a message to the attending doctor who waits for the interpretation result due to the level of urgency, but if the attending doctor recognizes that it has been dealt with in the first place, the interpretation report Even if urgency was pointed out, there was a risk of missing it.

  Thus, in response to the problem that the treating physician leaves the disease that the reading doctor was aware of, measures such as increasing the opportunity for direct contact from the reading doctor to the treating doctor and double checking are taken. It took time and was inefficient.

  The present invention has been made in view of the above-mentioned problems in the prior art, and it is an object of the present invention to prevent the oversight of matters pointed out by an image interpretation doctor in an image interpretation report.

  In order to solve the above-mentioned problems, the invention according to claim 1 is an inspection order acquiring means for acquiring an inspection order relating to an image inspection and a medical image created for a medical image photographed based on the inspection order. An interpretation report acquisition means for acquiring an interpretation report of 1, a determination means for comparing the examination order and the first interpretation report, and determining the degree of association between the examination order and the first interpretation report And a generation unit configured to generate a second diagnostic reading report emphasizing a portion in the first diagnostic reading report that is determined to be lower than a predetermined reference in relation to the examination order. is there.

  The invention according to claim 2 is the image interpretation report creation apparatus according to claim 1, wherein the creation unit relates to the examination order in the first interpretation report in the second interpretation report. The color, background color, font size or font type of the portion judged to be lower than the predetermined standard is changed.

  The invention described in claim 3 is the interpretation report creation apparatus according to claim 1 or 2, further comprising storage means for storing a correspondence table in which predetermined character strings are classified in advance into a plurality of categories, and the determination means The predetermined character string is extracted from each of the examination order and the first interpretation report, the category to which the extracted predetermined character string belongs is specified from the correspondence table, and the specified categories are compared with each other By doing this, the degree of relevance between the examination order and the first interpretation report is determined.

  The invention described in claim 4 is the interpretation report creating apparatus according to claim 3, wherein the category is information indicating a region to be diagnosed, an organ, or a medical department.

  According to the invention of claim 5, in the interpretation report creating apparatus according to any one of claims 1 to 4, the determination means determines the examination based on the affiliation of the examination requester who has created the examination order. The degree of relevance between the order and the first interpretation report is determined.

  The invention according to claim 6 is characterized in that the computer comprises: an examination order acquiring unit for acquiring an examination order relating to an image examination; and a first interpretation report created for a medical image taken based on the examination order Interpretation report acquiring means, determination means for comparing the examination order and the first interpretation report to determine the degree of relevancy between the examination order and the first interpretation report, the first interpretation report It is a program for functioning as creation means which creates the 2nd radiograph-interpretation report which emphasizes the part judged that relevance with the said inspection order is lower than a predetermined standard.

  According to the present invention, it is possible to prevent the oversight of matters pointed out by the image interpretation doctor in the image interpretation report.

FIG. 1 is a system configuration diagram of a medical image system according to an embodiment of the present invention. (A) is an example of the inspection purpose included in the inspection order. (B) is an example of an interpretation purpose included in an examination order. It is a block diagram showing functional composition of an image management server. It is a figure which shows the data structural example of a 1st conversion table. It is a figure which shows the data structural example of a 2nd conversion table. It is a block diagram which shows the functional structure of an attending doctor's terminal, an image reading doctor terminal. It is a ladder chart which shows the image test | inspection diagnostic process performed in a medical image system. It is a flowchart which shows the interpretation report emphasis processing process performed by an image management server. It is an example of the inspection order used as analysis object. (A) is a figure which shows the analysis result of the inspection order based on a 1st conversion table. (B) is a figure which shows the analysis result of the inspection order based on a 2nd conversion table. It is an example of a first interpretation report to be analyzed. (A) is a figure which shows the analysis result of the interpretation report based on a 1st conversion table. (B) is a figure which shows the analysis result of the interpretation report based on a 2nd conversion table. It is an example of a second interpretation report.

  Hereinafter, an embodiment of an interpretation report creating apparatus according to the present invention will be described. However, the scope of the invention is not limited to the illustrated example.

FIG. 1 shows a system configuration of a medical imaging system 100. As shown in FIG.
As shown in FIG. 1, the medical image system 100 includes an electronic medical record server 10, an RIS (Radiology Information System) server 20, an image management server 30 as an interpretation report creating apparatus, a doctor's terminal 40, an interpretation doctor terminal 50, a modality 60, 60 and so on, and is communicably connected via a communication network N such as a LAN (Local Area Network). The devices constituting the medical image system 100 conform to the HL7 (Health Level Seven) and DICOM (Digital Image and Communications in Medicine) standards, and communication between the devices is performed in accordance with the HL7 and DICOM. The numbers of the primary medical doctor terminal 40 and the image reading medical doctor terminal 50 are not particularly limited.

  The electronic medical record server 10 generates electronic medical record information in which the medical practice and diagnosis result for the patient are recorded, and an examination order for requesting an examination for the patient, in accordance with the operation instruction from the doctor's terminal 40.

The examination order includes an examination requester (the attending physician), an interpreting doctor, patient information, examination information and the like.
Patient information is information about a patient. Patient information includes patient ID, patient name, date of birth, age, sex, height, weight, blood pressure (upper / lower), blood type, body temperature, present medical history, medical history, admission status, allergy history, infection Etc. are included.
Examination information is information about an examination. The examination information includes examination ID, examination date, modality (DR, CR, US, CT, MRI, etc.), examination site (chest, abdomen, etc.), technologist name, medical department, examination purpose, interpretation purpose, presence of contrast agent, The reception number etc. are included.

The examination purpose is information for conveying the examination purpose from the examination requester to the examination technician or the radiologist. FIG. 2 (a) shows an example of the inspection purpose included in the inspection order.
The interpretation purpose is information for transmitting points to be interpreted from the examination requester to the interpretation doctor. FIG. 2 (b) shows an example of an interpretation purpose included in the examination order.

  The RIS server 20 manages information in the radiology department such as examinations by the radiation device, appointment of treatment, and examination results. The RIS server 20 manages the inspection order issued by the electronic medical record server 10, transmits an inspection request to the modality 60 to be inspected based on the inspection order, and transmits an interpretation request to the image management server 30.

  The image management server 30 stores the image data of the medical image generated by the modality 60 and manages it for each patient. Examples of the image management server 30 include a PACS (Picture Archiving and Communication System).

FIG. 3 shows a functional configuration of the image management server 30.
As shown in FIG. 3, the image management server 30 includes a control unit 31, a communication unit 32, a storage unit 33, an image storage unit 34 and the like, and the respective units are connected by a bus 35.

  The control unit 31 includes a central processing unit (CPU), a read only memory (ROM), and a random access memory (RAM), and centrally controls the processing operation of each unit of the image management server 30. Specifically, the CPU reads various processing programs stored in the ROM, expands them in the RAM, and performs various processing in cooperation with the programs.

  The communication unit 32 includes a network interface and the like, and transmits and receives data to and from an external device connected via the communication network N. For example, the communication unit 32 receives a medical image obtained by imaging the patient by the modality 60.

  The storage unit 33 is configured of an HDD (Hard Disk Drive), a non-volatile memory, and the like, and stores various data. For example, the storage unit 33 stores a first correspondence table 331, a second correspondence table 332, a user management table T1, and an examination management table T2.

  FIG. 4 shows an example of the data configuration of the first correspondence table 331. The first correspondence table 331 is obtained by classifying predetermined character strings including sites, disease names and the like into a plurality of categories (sites to be diagnosed). For example, the character strings "cataract", "oral floor", "pharynx" are classified into the category "head", and the characters "urinary tract", "prostate", "bladder", "hip joint" are It is classified into the "lower abdomen" category. Information indicating organs may be used as the category.

  FIG. 5 shows an example of the data configuration of the second correspondence table 332. The second correspondence table 332 is obtained by classifying predetermined character strings including sites, disease names, and the like into a plurality of categories (medical department). For example, the character strings "cataract" and "fundus oculi" are classified into the category "ophthalmology".

  The user management table T1 is a table for managing users who use the image management system provided by the image management server 30. The user management table T1 stores a user ID, a password, a name, an affiliation (medical department), an e-mail address, and the like in association with each user (medical worker).

The examination management table T2 is a table for managing an image examination. The examination management table T2 includes, for each image examination, an examination requester (principal doctor), an image interpretation doctor, patient information, examination information, identification information of a medical image (image ID), identification information of a first interpretation report (report ID) , Identification information (report ID) of the second interpretation report, and the like are stored in association with each other.
The first interpretation report is created by the interpretation doctor by interpreting a medical image on the interpretation doctor terminal 50.
The second interpretation report is created as a result of performing the interpretation report emphasizing process (see FIG. 8) on the first interpretation report.

  Further, the storage unit 33 stores a first diagnostic reading report created in response to an operation instruction from the diagnostic reading doctor terminal 50 and a second diagnostic reading report automatically created in the image management server 30. The first diagnostic reading report and the second diagnostic reading report are each identified by a report ID.

  The image storage unit 34 is a storage device for storing and storing image data of medical images for each patient.

  The control unit 31 acquires, from the RIS server 20, an examination order relating to an image examination corresponding to the created first interpretation report, when the first interpretation report is created by the radiologist. That is, the control unit 31 functions as an inspection order acquisition unit.

  The control unit 31 acquires a first diagnostic reading report created for a medical image captured based on the examination order. That is, the control unit 31 functions as an interpretation report acquisition unit.

  The control unit 31 compares the examination order with the first interpretation report to determine the degree of association between the examination order and the first interpretation report. That is, the control unit 31 functions as a determination unit. Specifically, the control unit 31 extracts a predetermined character string from each of the examination order and the first interpretation report, and the category to which the extracted predetermined character string belongs is a first correspondence table 331, a second correspondence table By identifying from the correspondence table 332 and comparing the identified categories with each other, the degree of association between the inspection order and the first interpretation report is determined.

  The control unit 31 creates a second interpretation report emphasizing a portion determined to be lower than a predetermined reference in relation to the examination order in the first interpretation report. That is, the control unit 31 functions as a creation unit. Specifically, the control unit 31 changes the color or the background color of a portion of the second radiogram interpretation report that is determined to be less relevant to the inspection order in the first radiogram interpretation report than a predetermined reference. There is no particular limitation on how to provide the "predetermined standard".

  When the control unit 31 receives an acquisition request for a medical image or an interpretation report from an external device via the communication unit 32, the control unit 31 displays a screen for displaying the requested medical image or an interpretation report according to the acquisition request. Send data to the external device. The control unit 31 preferentially displays the second diagnostic reading report when the first diagnostic reading report and the second diagnostic reading report exist for the same medical image.

  The attending doctor terminal 40 is a computer device such as a PC (Personal Computer) used by the attending doctor. The attending physician prepares an electronic medical chart, generates an examination order, and browses medical images and interpretation reports at the attending physician terminal 40.

FIG. 6 shows the functional configuration of the main doctor terminal 40. As shown in FIG.
As shown in FIG. 6, the doctor's doctor terminal 40 includes a control unit 41, an operation unit 42, a display unit 43, a communication unit 44, a storage unit 45 and the like, and the units are connected by a bus 46.

  The control unit 41 includes a CPU, a ROM, a RAM, and the like, and centrally controls the processing operation of each unit of the master doctor terminal 40. Specifically, the CPU reads various processing programs stored in the ROM, expands them in the RAM, and performs various processing in cooperation with the programs.

The operation unit 42 includes a keyboard having cursor keys, character / number input keys, various function keys, etc., and a pointing device such as a mouse, and controls operation signals inputted by key operations on the keyboard and mouse operations. Output to the part 41.
The display unit 43 is configured to include a monitor such as an LCD (Liquid Crystal Display), and displays various screens according to an instruction of a display signal input from the control unit 41.

The communication unit 44 includes a network interface and the like, and transmits and receives data to and from an external device connected via the communication network N.
The storage unit 45 is configured of an HDD, a non-volatile semiconductor memory, or the like, and stores various data.

  The image interpretation doctor terminal 50 is a computer device such as a PC used by an image interpretation doctor. The image interpretation doctor interprets medical images, creates an image interpretation report, and the like on the image interpretation doctor terminal 50.

The functional configuration of the image interpretation doctor terminal 50 is shown in FIG.
As shown in FIG. 6, the image interpretation doctor terminal 50 includes a control unit 51, an operation unit 52, a display unit 53, a communication unit 54, a storage unit 55, and the like, and the units are connected by a bus 56. . Since each part of the image interpretation doctor terminal 50 is the same as each part of the attending doctor terminal 40, the description is omitted.

  The modality 60 is an image generating apparatus such as an X-ray imaging apparatus (DR, CR), an ultrasonic diagnostic apparatus (US), CT, or MRI, and generates a medical image obtained by imaging a patient. The modality 60 appends incidental information to the medical image by writing incidental information (patient information, examination information, etc.) in the header of the image file of the medical image according to the DICOM standard.

Next, the operation of the medical imaging system 100 will be described.
FIG. 7 is a ladder chart showing an image inspection diagnosis process performed in the medical image system 100.

  First, when the attending doctor accesses the electronic medical chart server 10 from the attending doctor terminal 40, designates the patient and the examination content and issues the examination order (step S1), the electronic medical chart server 10 transmits the examination order to the RIS server 20.

  The RIS server 20 transmits an examination request to the modality 60 based on the examination order received from the electronic medical record server 10 (step S2), and transmits an interpretation request to the image management server 30 (step S3). It is possible to arbitrarily set which contents of the information included in the inspection order are included in the inspection request or the image interpretation request. The inspection order itself may be transmitted from the RIS server 20 to the modality 60 or the image management server 30.

  When the modality 60 receives an examination request from the RIS server 20, the examination technician performs an operation of the examination technician to perform imaging of the target site of the target patient according to the examination request (step S4), and save the generated medical image (step S5). ). The modality 60 transmits the medical image to the image management server 30 (step S6).

  In the image management server 30, when the medical image is received from the modality 60, the control unit 31 selects an interpretation request corresponding to the medical image from among the interpretation requests received from the RIS server 20 based on the incidental information of the medical image. It identifies and stores the medical image and the identified interpretation request (patient information, examination information, etc.) in association with each other. Specifically, the control unit 31 stores the medical image in the image storage unit 34, and in the examination management table T2 of the storage unit 33, the examination requester, the image interpretation doctor, the patient information, the examination information, the identification information of the medical image Are stored in association with each other.

When the image reading doctor accesses the image management server 30 from the image reading doctor terminal 50 and selects a medical image to be read, the selected medical image is displayed on the display unit 53 of the image reading doctor terminal 50.
The image interpretation doctor interprets the medical image displayed on the display unit 53, inputs an interpretation result from the operation unit 52, and creates an interpretation report (step S7). In the image management server 30, the control unit 31 manages the created interpretation report (first interpretation report) in association with patient information and examination information. Specifically, the control unit 31 stores the first diagnostic reading report in the storage unit 33, and stores the identification information of the first diagnostic reading report in the corresponding record of the examination management table T2.

  Next, the control unit 31 executes an interpretation report emphasizing process (step S8). Details of the interpretation report enhancement processing will be described later.

  Next, when the image management server 30 transmits a notification that the image interpretation has been completed to the RIS server 20, the RIS server 20 transmits a notification that the image interpretation has been completed to the electronic medical record server 10 (step S9).

  When the attending physician accesses the image management server 30 from the attending physician terminal 40 and instructs to display the interpretation report, the interpretation report is displayed on the display section 43 of the attending physician terminal 40 (step S10). At this time, if there is a second interpretation report (emphasis-processed interpretation report) for the image examination, the second interpretation report is displayed, and if there is no second interpretation report for the image examination, That is, if there is no portion in the radiogram interpretation report (first radiogram interpretation report) created by the radiologist, whose relevance to the examination order is lower than a predetermined standard, the first radiogram interpretation report is displayed.

The attending doctor examines the patient (step S11), and accesses the electronic medical chart server 10 from the attending doctor terminal 40 to create an electronic medical chart (step S12). Specifically, the attending physician will refer to the interpretation report to plan the future treatment plan and explain to the patient. The attending physician prescribes and treats the patient (step S13).
This is the end of the image inspection diagnosis process.

  Although FIG. 7 illustrates the case where the attending doctor confirms the interpretation report on the attending doctor terminal 40 (step S10) and then examines the patient (step S11), the attending doctor examines the patient after steps S11 to S13. In some cases, an interpretation report may be confirmed.

  Next, the interpretation report emphasizing process (step S8) in the image management server 30 will be described with reference to FIG. The interpretation report emphasizing process is a process performed after the first interpretation report is created for the medical image, and is performed after the approving doctor approves the first interpretation report and the content is determined. It is also good. This process is realized by software processing in cooperation with the CPU of the control unit 31 and the program stored in the ROM.

  First, the control unit 31 acquires an inspection order corresponding to the first interpretation report from the RIS server 20 via the communication unit 32 (step S21). Specifically, the control unit 31 determines based on the patient information and the examination information that are associated with the identification information of the first interpretation report created this time in the examination management table T2 stored in the storage unit 33. , Sends an inspection order acquisition request to the RIS server 20, and acquires the inspection order from the RIS server 20.

  Next, the control unit 31 extracts a predetermined character string from the inspection order, specifies a category corresponding to the predetermined character string, and stores the specified category (step S22). Specifically, the control unit 31 determines the character string stored in the “character string” field of the first correspondence table 331 and the second correspondence table 332 of the storage unit 33 as “inspection purpose”, “interpretation of inspection order”. Objectives] etc. Then, the control unit 31 refers to the first correspondence table 331 and the second correspondence table 332, identifies the category corresponding to the extracted character string, and stores the identified category in the storage unit 33.

  Next, the control unit 31 obtains the distribution of the character string extracted from the inspection order for each category, and normalizes the distribution (step S23). The process of obtaining and normalizing the distribution for each category is divided into a process relating to the first correspondence table 331 and a process relating to the second correspondence table 332.

Here, how to obtain the distribution for each category and normalization will be described.
FIG. 9 shows an example of an inspection order to be analyzed.
FIG. 10A shows the analysis result of the inspection order based on the first correspondence table 331. As shown in FIG.
Referring to the first correspondence table 331 (see FIG. 4), the character string "abdomen" belongs to the category "abdomen". Since the character string 71 "abdomen" is included twice in the examination order shown in FIG. 9, the count number of the category "abdomen" is "2" as shown in FIG. 10 (a).
The distribution is a ratio of the count number of the corresponding category to the total count number of the extracted character string. In FIG. 10A, since the count numbers of the categories other than "abdomen" are "0", the distribution of the category "abdomen" is "100%".
The normalization is a ratio of numerical values of the distribution when the largest numerical value in the distribution (“100%” corresponding to “abdomen” in FIG. 10A) is “100%”. The normalized value of categories other than "abdomen" is "0%".

The same applies to the method of determining the distribution of the categories related to the second correspondence table 332 and normalization.
The analysis result of the inspection order based on the second correspondence table 332 is shown in FIG.
Referring to the second correspondence table 332 (see FIG. 5), the character string “HCC” belongs to the category of “gastrointestinal medicine”. Since the examination order shown in FIG. 9 includes the character string 72 “HCC” twice, as shown in FIG. 10 (b), the count number of the category “Gastroenterology department” is “2”. Become.
Further, in FIG. 10 (b), since the count numbers of the categories other than "digestive department" are "0," the distribution of the category "digestive department" is "100%."
In addition, since the largest numerical value in the distribution is normalized as "100%", the normalized value of the category "digestive department" is "100%", and the normalized value of categories other than "digestive department" is It will be "0%".

  Next, the control unit 31 acquires, from the storage unit 33, a first interpretation report created for the medical image captured based on the examination order (step S24). Specifically, the control unit 31 acquires a first interpretation report that is a trigger for performing the interpretation report enhancement processing.

  Next, the control unit 31 extracts a predetermined character string from the first image interpretation report, specifies a category corresponding to the predetermined character string, and stores the specified category (step S25). Specifically, the control unit 31 sets the character string stored in the “character string” field of the first correspondence table 331 and the second correspondence table 332 of the storage unit 33 to the “finding” of the first interpretation report, Extract from "Diagnostics", "Comments", etc. Then, the control unit 31 refers to the first correspondence table 331 and the second correspondence table 332, identifies the category corresponding to the extracted character string, and stores the identified category in the storage unit 33.

  Next, the control unit 31 obtains, for each category, the distribution of character strings extracted from the first interpretation report, and normalizes the distribution (step S26). Also in this case, the process of obtaining and normalizing the distribution for each category is divided into a process relating to the first correspondence table 331 and a process relating to the second correspondence table 332.

FIG. 11 shows an example of a first interpretation report to be analyzed.
FIG. 12A shows an analysis result of an interpretation report based on the first correspondence table 331. As shown in FIG.
In the first interpretation report shown in FIG. 11, the “finding”, “diagnosis” and “comment” include the character string 81 “diaphragm” once and the character string 82 “lung” twice. As shown in FIG. 12A, the count number of the category "chest" is "3".
In addition, since the “finding”, “diagnosis”, and “comment” of the first interpretation report include the character string 83 “ascites” once and the character string 84 “liver” once. As shown in 12 (a), the count number of the category "abdomen" is "2".
The number of counts for the category specified from the first interpretation report is three for “chest” and two for “abdomen”, so the distribution of the category “chest” is “60%” and “abdomen” Distribution of “40%”.
If the “chest” distribution “60%” is normalized as “100%”, the “chest” category has a normalized value of “100%”, the “abdomen” category has a normalized value of “67%”, and others The normalized value of the category of is “0%”.

The analysis result of the interpretation report based on the second correspondence table 332 is shown in FIG.
In the first interpretation report shown in FIG. 11, the “finding”, “diagnosis”, and “comment” include the character string 85 “HCC” once and the character string 84 “liver” once. As shown in FIG. 12 (b), the count number of the category "digestive department" is "2".
In addition, since the character string 82 "lung" is included twice in the "finding", "diagnosis" and "comment" of the first interpretation report, as shown in FIG. The count number of the category "equipment" is "2".
The count numbers of the categories identified from the first interpretation report are two in the "Digestive department" and two in the "Respiratory department". The distributions are both “50%”.
If the distribution "50%" of "Gastroenterology department" and "Respiratory department" is normalized as "100%", the normalized value of the categories "Gastroenterology department" and "Respiratory department" is "100%", The normalized values of the other categories are "0%".

  Next, the control unit 31 compares the normalized value for each category obtained from the inspection order with the normalized value for each category obtained from the first interpretation report to determine the degree of relevancy. (Step S27).

Specifically, the normalized value "100%" of the category "abdomen" of the inspection order analysis result shown in Fig. 10 (a) and the category "abdomen" of the first interpretation report analysis result shown in Fig. 12 (a) When the normalized value “67%” of is compared, there is a difference of “33%”, but since the categories are the same, it is determined that the relevance is high (highlighting is not necessary).
A normalized value "0%" of the category "chest" of the examination order analysis result shown in FIG. 10 (a) and a normalized value "category" of the first interpretation report analysis result shown in FIG. 12 (a) In comparison with “100%”, it is determined that the relevance is low (it should be highlighted) because there is a difference of “100%”.

The normalized value "100%" of the category "digestive department" of the examination order analysis result shown in FIG. 10 (b) and the category "digestive department" of the first interpretation report analysis result shown in FIG. 12 (b) When the normalized value “100%” is compared, it is determined that the relevancy is high (the highlighting is not necessary) because the normalized values match and the categories are the same.
The normalized value “0%” of the category “respiratory department” of the examination order analysis result shown in FIG. 10 (b) and the category “respiratory department” of the first interpretation report analysis result shown in FIG. 12 (b) When the normalized value “100%” is compared, it is determined that the relevancy is low (it should be highlighted) because there is a difference of “100%”.

  Here, if the category identified from the first interpretation report is also identified from the examination order, it is determined that the relevance is high, and the category identified from the first interpretation report is identified from the examination order If not, it was determined that the relevancy was low. In other words, whether or not the category specified from the first radiogram interpretation report is specified from the inspection order is taken as the "predetermined standard".

  Also, with respect to the degree of relevancy, three or more ranks (relevancy) by the difference between the normalized value of the category of inspection order analysis result and the normalized value of the category of analysis result of the first interpretation report It is possible to provide high, middle, low, etc.).

For example, the following processing is performed for each of the categories (categories whose normalized value is not 0%) specified from the first interpretation report.
First, whether or not the same category as the target category is specified from the inspection order for a certain category (hereinafter referred to as the target category) specified from the first interpretation report (relevant to the target category in the inspection order) To determine if it contains any
If the same category as the target category is identified from the inspection order, that is, if the normalized value of the same category as the target category of the inspection order is not 0%, the category for the inspection order and the first interpretation report Because they match, it is determined as "relevant".

  On the other hand, if the same category as the target category is not specified from the examination order, that is, if the normalized value of the same category as the target category of the examination order is 0%, the target category of the first interpretation report Calculate the difference (absolute value) between the normalized value of and the normalized value (0%) of the same category as the target category of the inspection order. If the difference between the normalized values is larger than a predetermined threshold, it is determined that "relevance is low", and if the difference between the normalized values is equal to or less than a predetermined threshold, "relevant" is determined.

Next, the control unit 31 executes an emphasizing process according to the degree of relevancy, and creates a second interpretation report (step S28). Specifically, the control unit 31 emphasizes a portion determined to be lower than a predetermined reference in relation to the examination order in the first interpretation report. The control unit 31 stores the second interpretation report in the storage unit 33, and stores identification information of the second interpretation report in the corresponding record of the examination management table T2.
Thus, the interpretation report enhancement processing ends.

FIG. 13 shows an example of a second interpretation report.
In the second interpretation report, sentences 91 to 9 including the text strings “diaphragm” and “lung” associated with “chest” determined to be less relevant to the examination order in the first interpretation report. 93 background colors have been changed.
In the second interpretation report, a sentence 92 including a character string “lung” associated with “respiratory department” determined to be less relevant to the examination order in the first interpretation report. 93 background colors have been changed.

In the second interpretation report, the examination requester (the attending physician) is alerted by highlighting the descriptions regarding “chest” and “respiratory department” that were not included in the examination order.
Also, depending on the degree of association between the examination order and the first interpretation report, the part determined to be less relevant to the examination order in the second interpretation report is divided into multiple stages, which are different. It may be displayed in color or background color.

  As described above, according to the present embodiment, the second interpretation report emphasizing a portion determined to be lower than a predetermined reference in the first interpretation report is generated. It is possible to prevent the oversight of the matters pointed out by the image interpretation doctor in the image interpretation report.

For example, in the second interpretation report, the examiner predicts by changing the color or background color of a portion determined to be lower than a predetermined reference in the first interpretation report. It is possible to emphasize content that is likely to be overlooked that was not considered.
Note that the method of emphasizing a portion determined to be less relevant to the examination order in the second interpretation report is not limited to the above example. It may be distinguishable from other parts by changing the size of the character (font size), font type and the like.

  Further, a predetermined character string is extracted from each of the examination order and the first interpretation report, and the category to which the extracted predetermined character string belongs is specified from the first correspondence table 331 and the second correspondence table 332, Since the degree of relevancy between the examination order and the first interpretation report is determined by comparing the identified categories, the examination order and the second correspondence table 332 can be used to easily determine the examination order and the second correspondence table 332. The degree of relevancy to the first interpretation report can be determined.

  The description in the above embodiment is an example of the image interpretation report creating apparatus according to the present invention, and the present invention is not limited to this. The detailed configuration and the detailed operation of each part constituting the apparatus can be appropriately modified without departing from the scope of the present invention.

For example, the degree of relevancy between the inspection order and the first interpretation report may be determined based on the affiliation of the inspection requester who generated the inspection order. For example, when urology-related findings are described in the first interpretation report for an examination order generated by a cardiologist, by highlighting the urology-related findings in the first interpretation report. , Can call attention to the inspection requester.
Specifically, in the case where the examination order includes the affiliation (medical department) of the examination requester, the control unit 31 directly acquires the examination department of the examination requester from the examination order. On the other hand, when the examination order does not include the affiliation of the examination requester, the control unit 31 acquires the examination requester from the examination order, and the medical treatment corresponding to the examination requester from the user management table T1 of the storage unit 33 Get a family. The control unit 31 uses the second correspondence table 332 of the storage unit 33 to identify the medical care department corresponding to the character string included in the first interpretation report, and compares it with the medical care department of the examination requester.

  The image management server 30 may add a character string to be extracted from the inspection order or the first interpretation report to the “character string” field of the first correspondence table 331 and the second correspondence table 332. For example, using artificial intelligence (AI), the frequency with which the character string already described in the first correspondence table 331 and the second correspondence table 332 is used from the inspection order and the first interpretation report By extracting a high character string and adding it to the first correspondence table 331 and the second correspondence table 332, it is possible to realize the determination of the degree of relevancy with higher accuracy.

  In the above description, although the example which used ROM as a computer readable medium which stored the program for performing each processing was disclosed, it is not limited to this example. As another computer readable medium, it is also possible to apply a non-volatile memory such as a flash memory or a portable recording medium such as a CD-ROM. In addition, a carrier wave may be applied as a medium for providing program data via a communication line.

10 electronic medical record server 20 RIS server 30 image management server 31 control unit 32 communication unit 33 storage unit 40 image storage unit 40 doctor's terminal 50 interpretation doctor terminal 60 modality 100 medical image system 331 first correspondence table 332 second correspondence table N communication network T1 user management table T2 inspection management table

Claims (6)

Inspection order acquisition means for acquiring an inspection order relating to image inspection;
An interpretation report acquisition unit that acquires a first interpretation report created for a medical image captured based on the examination order;
Determining means for comparing the examination order and the first interpretation report to determine the degree of relevancy between the examination order and the first interpretation report;
A creation unit configured to create a second diagnostic reading report emphasizing a portion in the first diagnostic reading report that is determined to be less than a predetermined reference in relation to the examination order;
An image interpretation report creation device provided with   The creation unit is a color, a background color, a font size, or a font of a portion of the second interpretation report, in which the relevance to the examination order in the first interpretation report is determined to be lower than the predetermined standard. The image interpretation report creating apparatus according to claim 1, wherein the type is changed. Storage means for storing a correspondence table in which predetermined character strings are classified in advance into a plurality of categories,
The determination means extracts the predetermined character string from each of the examination order and the first interpretation report, identifies a category to which the extracted predetermined character string belongs from the correspondence table, and identifies the category. The image interpretation report creating apparatus according to claim 1 or 2, wherein the degree of relevance between the examination order and the first interpretation report is determined by comparing the categories.   The image interpretation report creating apparatus according to claim 3, wherein the category is information indicating a region to be diagnosed, an organ or a medical department.   The determination method according to any one of claims 1 to 4, wherein the determination means determines the degree of relevance between the inspection order and the first interpretation report based on the affiliation of the inspection requester who generated the inspection order. Image interpretation report creation device described. Computer,
Inspection order acquisition means for acquiring an inspection order related to image inspection,
An interpretation report acquisition unit that acquires a first interpretation report created for a medical image captured based on the examination order;
Determining means for comparing the inspection order and the first interpretation report to determine the degree of relevancy between the inspection order and the first interpretation report;
A creation unit configured to create a second diagnostic reading report emphasizing a portion in the first diagnostic reading report that is determined to be lower than a predetermined reference in relation to the examination order;
Program to function as.

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