JP2023035610A - Report creation auxiliary device and report creation auxiliary system - Google Patents

Abstract

To automatically provide a person to have a consultation with according to the details of a medical report, and reflect a result of consultation on the medical report more simply without misunderstanding.SOLUTION: A report creation auxiliary device comprises an analysis unit, an evaluation unit, a determination unit, a specification unit, and a notification unit. The analysis unit analyzes a report and creates an analysis result. The evaluation unit evaluates the report based on the analysis result, and creates an evaluation result. The determination unit determines whether an opinion on the report needs to be sought based on the evaluation result. When the determination unit determines that an opinion on the report needs to be sought, the specification unit specifies a person to have a consultation with. The notification unit performs notification to the person.SELECTED DRAWING: Figure 4

Description

The embodiments disclosed in the specification and drawings relate to a report creation assisting device and a report creation assisting system.

Currently, interpretation reports are often created by a plurality of interpretation doctors in an interpretation room. In creating the interpretation report, the interpretation doctor completes the interpretation report by consulting with other interpretation doctors in the interpretation room and undergoing a double check. At this time, it is often necessary to communicate verbally while referring to the display screen of the interpretation report being created. There is

As an alternative to verbal communication, there is a means of communication using chat. However, there are the following problems in using chat for consultation about interpretation work. For example, problems include "I don't know who I can consult because I don't know the other person's skills," "I don't know if I can ask because I don't know the other person's situation," and "The person I'm consulting with doesn't see the interpretation report display screen." Therefore, misunderstandings occur."

As a result, when communication is limited to chats, younger radiologists may not be able to consult (or may not consult), or may complete an interpretation report in a misunderstood state. This may reduce the quality of the interpretation report. Therefore, it is desirable to be able to automatically provide a person who can be consulted according to the content of the interpretation report.

JP 2006-277219 A

One of the problems to be solved by the embodiments disclosed in the present specification and drawings is to automatically provide a person who can be consulted according to the content of the medical report, and to provide the consultation results more concisely and without misunderstandings in the medical report. is to reflect However, the problems to be solved by the embodiments disclosed in this specification and drawings are not limited to the above problems. A problem corresponding to each effect of each configuration shown in the embodiments described later can be positioned as another problem.

A report creation assisting device according to an embodiment includes an analysis unit, an evaluation unit, a determination unit, a specification unit, and a notification unit. The analysis unit analyzes the report and generates an analysis result. The evaluation unit evaluates the report based on the analysis results and generates evaluation results. The determination unit determines whether or not it is necessary to seek an opinion on the report based on the evaluation result. The identifying unit identifies a person who can be consulted when it is determined that it is necessary to seek an opinion on the report. The notification unit notifies the other party.

FIG. 1 is a diagram showing a configuration example of a medical information system according to the first embodiment. FIG. 2 is a diagram exemplifying a work status table according to the first embodiment. FIG. 3 is a diagram illustrating a doctor information table according to the first embodiment. FIG. 4 is a diagram showing a configuration example of a report creation assisting device according to the first embodiment. FIG. 5 is a diagram for explaining missing elements when the report contents are vectorized. FIG. 6 is a sequence diagram for explaining remote consultation preprocessing executed by the medical information system according to the first embodiment. FIG. 7 is a flowchart for explaining consultation proposal determination processing executed by the report creation assisting device according to the first embodiment. FIG. 8 is a flow chart for explaining the counterpart identification process executed by the report creation assisting device according to the first embodiment. FIG. 9 is a diagram showing a configuration example of a report creation assisting device according to the second embodiment. FIG. 10 is a sequence diagram for explaining user confirmation processing executed by the medical information system according to the second embodiment. FIG. 11 is a diagram showing a configuration example of a report creation assisting device according to the third embodiment. FIG. 12 is a sequence diagram for explaining remote consultation processing executed by the medical information system according to the third embodiment. FIG. 13 is a diagram illustrating a support UI according to the third embodiment. FIG. 14 is a flowchart for explaining comment analysis processing executed by the report creation assisting device according to the third embodiment. FIG. 15 is a diagram illustrating a support UI according to the third embodiment. FIG. 16 is a diagram illustrating a support UI according to the third embodiment. FIG. 17 is a diagram illustrating a support UI according to the third embodiment. FIG. 18 is a diagram illustrating a support UI according to the third embodiment.

Hereinafter, embodiments of a report creation assisting device and a report creation assisting system will be described in detail with reference to the drawings.

(First embodiment)
FIG. 1 is a diagram showing a configuration example of a medical information system according to the first embodiment. For example, as shown in FIG. 1, the medical information system 100 according to the first embodiment includes a report creation auxiliary device 110, a hospital information system (HIS) 120, a terminal device 130, a radiology department information management system ( Radiology Information Systems (RIS) 140 , medical imaging diagnostic equipment 150 , and medical image archiving and communication systems (PACS) 160 . These devices and systems are communicably connected to each other via a network such as a LAN (Local Area Network). The medical information system 100 may include a data warehouse (DWH) or the like.

The HIS 120 includes, for example, an electronic medical chart system that manages information regarding electronic medical charts. The electronic medical chart system includes an electronic medical chart DB (Data Base) 121 that stores information on electronic medical charts. Information related to electronic charts includes, for example, patient information and medical information. The HIS 120 may include the report creation auxiliary device 110 and a report creation device, which will be described later. In addition, various functions of the report creation assisting device 110 may be incorporated into the electronic medical record system.

Patient information is patient-specific information and includes, for example, patient ID, patient name, gender, date of birth and age. The medical information is information obtained by the medical staff regarding the patient's physical condition, disease state, treatment, etc. in the course of medical treatment. The medical information includes, for example, image information, examination history information, electrocardiogram information, vital signs information, medication history information, report information, nursing record information, and medical record information.

Image information is, for example, information representing the location of a medical image obtained by photographing a patient. The image information includes, for example, information representing the location of a medical image file generated by a medical image diagnostic apparatus as a result of an examination.

The test history information is, for example, information representing the history of test results acquired as a result of specimen tests, bacteriological tests, and the like performed on patients.

The electrocardiogram information is, for example, information about an electrocardiogram waveform measured from a patient.

Vital sign information is, for example, basic information related to a patient's life. Vital sign information includes, for example, pulse rate, respiratory rate, oxygen concentration, temperature, blood pressure and level of consciousness. The medication history information is, for example, information indicating the history of the amount of medication administered to the patient.

For example, the report information is obtained by reading medical images such as X-ray images, CT images, MRI images, and ultrasound images by a radiology interpreting doctor in response to an examination request from a clinician in a clinical department, and obtaining the patient's condition and It is information summarized about the disease. The report information includes, for example, interpretation report information representing an interpretation report created by the interpretation doctor with reference to the medical image files stored in the PACS 160 . Since the report information is generally stored in the PACS 160, the electronic chart system can display the report information by reading the report information from the PACS 160. FIG.

Nursing record information is, for example, information entered into an electronic medical chart by a nurse or the like. Nursing record information includes nursing records at the time of hospitalization.

The medical record description information is, for example, information input to the electronic medical chart by a medical doctor or the like. The medical record information includes, for example, medical examination records, medical records during hospitalization, patient medical histories, drug prescription histories, and the like. Medical records during hospitalization are recorded, for example, in association with the input date and time. The medical record data in this embodiment is assumed to be, for example, the content described in medical records during hospitalization, but may include other information. Other information includes, for example, the patient's medical history and drug prescription history, medical images associated with medical records, or medical moving images. This also applies to each of the following embodiments.

In addition, HIS 120 includes doctor DB 122 that stores information about doctors. Information about doctors includes, for example, information about work status and profile (which may translate into knowledge and career). Also, the doctor DB 122 may include doctors of other hospitals or virtual doctors by AI. A specific example of information about a doctor will be described below with reference to FIGS.

FIG. 2 is a diagram exemplifying a work status table according to the first embodiment. For example, as shown in FIG. 2, the work condition table 1221 associates IDs assigned to doctors with work conditions. For example, "Absent", "Away" and "Present" are assigned to the work status. The work status “absence” indicates, for example, that the person is not at the hospital. The work status "Away" indicates, for example, that the person is present at the hospital but is not present due to an examination or surgery. The work status "At your desk" indicates, for example, that you are logged in to the terminal device.

The work status is updated in real time or at predetermined time intervals, for example, based on the information of the attendance management system included in the hospital information system and the information of the monitoring system that monitors the operation of the terminal device. Note that the work status is not limited to the above allocation, and may be further subdivided. Specifically, in the case of an interpreting doctor, for example, "emergency", "screening" and "follow-up" may be assigned instead of the work status of "present". Also, a clinician may be assigned, for example, "consulting" and "out of care" instead of the duty status "Attended". By subdividing the work status in this way, for example, even if the worker is at the desk, it is possible to indicate the same status as "absence" or "absence" depending on how busy the worker is. .

FIG. 3 is a diagram illustrating a doctor information table according to the first embodiment. For example, as shown in FIG. 3, the doctor information table 1222 associates an ID assigned to a doctor, the name of the doctor, the department to which the doctor belongs, knowledge, and career. Knowledge includes, for example, information in specialized fields. The specialized field information is, for example, a word-based list of specialized human body parts, case names, and the like. The carrier includes, for example, document information such as report contents entered by the doctor and papers written by the doctor. The doctor information table 1222 may further associate the information of the patient in charge, the cost incurred when the doctor works, the name of the hospital to which the doctor belongs, and the language used by the doctor.

Note that the work status table 1221 and the doctor information table 1222 may be integrated into one table. Also, the doctor information table 1222 may be divided into a plurality of tables. That is, in the tables included in the doctor DB 122, the items included in the work status table 1221 and the doctor information table 1222 should be associated with each other by the ID of the doctor.

The terminal device 130 corresponds to, for example, a PC (Personal Computer), a tablet PC, a PDA (Personal Digital Assistant), and a smart phone. The terminal device 130 is arranged in each clinical department within the medical facility. For example, if you are an interpreting doctor, the terminal device 130 is used to create an interpretation report. In the case of a clinician, the terminal device 130 is used to create medical records and the like.

For example, application software (interpretation report software) for creating an interpretation report is installed in the terminal device 130 used for creating the interpretation report. Alternatively, the terminal device 130 may create an interpretation report in a format such as a web application that does not require installation of interpretation report software. Note that the terminal device 130 used for creating the interpretation report may be called an "interpretation report creating apparatus".

The medical information system 100 of FIG. 1 illustrates connection relationships between one terminal device 130 and other devices and systems. However, in the following description, it is assumed that the medical information system 100 is connected to a plurality of terminal devices 130 .

The RIS 140 is a system that manages examination reservation information related to radiation examination work. The RIS 140 adds various setting information to examination order information input from a medical doctor in an order system included in the HIS 120, accumulates the information, and manages the accumulated information as examination reservation information. The RIS 140 transmits the examination order to the medical image diagnostic apparatus 150 according to the examination reservation information. The RIS 140 also transmits examination execution information generated by the medical image diagnostic apparatus 150 as a result of the examination to the electronic chart system included in the HIS 120 .

The medical image diagnostic apparatus 150 is an apparatus that performs an examination by photographing a patient. The medical image diagnostic apparatus 150 includes, for example, an X-ray computed tomography apparatus, an X-ray diagnostic apparatus, a magnetic resonance imaging apparatus, a nuclear medicine diagnostic apparatus, and an ultrasonic diagnostic apparatus. The medical image diagnostic apparatus 150 performs an examination based on examination reservation information transmitted from the RIS 140, for example. The medical image diagnostic apparatus 150 generates examination execution information and transmits it to the RIS 140 .

Further, the medical image diagnostic apparatus 150 generates medical image data by performing examinations. Medical image data includes, for example, X-ray CT image data, X-ray image data, MRI image data, nuclear medicine image data, and ultrasound image data. The medical image diagnostic apparatus 150 generates a medical image file by converting the generated medical image data into a format conforming to the DICOM (Digital Imaging and Communication in Medicine) standard, for example. A medical image file is, for example, a file in a format conforming to the DICOM standard. The medical image diagnostic apparatus 150 transmits the generated medical image file to the PACS160.

PACS 160 is a system for managing various medical image files. The PACS 160 stores medical image files transmitted from the medical image diagnostic apparatus 150, for example. The PACS 160 may store report information attached to medical image files, or report information for examinations related to a plurality of medical image files.

The DWH, which is not shown in FIG. 1, is a database system that collectively accumulates, for example, information generated in related institutions such as medical and nursing care, so-called medical big data. DWH is implemented by, for example, a general server device. The DWH has, for example, processing circuitry, memory and communication interfaces. The processing circuitry, memory and communication interface are communicatively coupled to each other, for example, via a bus.

FIG. 4 is a diagram showing a configuration example of a report creation assisting device according to the first embodiment. For example, as shown in FIG. 4, the report creation assistant device 110 includes processing circuitry 111 , memory 112 and communication interface 113 . The report creation assisting device 110 prompts the report creator to consult with others about the contents of the report, and automatically matches the consultation partner with the necessary knowledge. Below, the memory 112 and the communication interface 113 will be described first.

The memory 112 corresponds to, for example, a HDD (Hard Disk Drive), an SSD (Solid State Drive), an integrated circuit storage device, and the like. Also, the memory 112 may be a drive device or the like that reads and writes various information from/to a portable storage medium such as a CD-ROM drive, a DVD drive, and a flash memory.

The memory 112 stores, for example, a report vector data group 112a. The report vector data group 112a is obtained, for example, by subjecting past report information stored in the PACS 160 in advance to text classification processing by machine learning. Therefore, in the report vector data group 112a, vectorized reports are classified (clustered) into an arbitrary number of clusters. The report vector data group 112a may be created by the processing circuit 111, or may be obtained from a server device (not shown) or the like. Further, the memory 112 may read and store the work status table 1221 and the doctor information table 1222 from the doctor DB 122 of the HIS 120 . These matters also apply to each of the following embodiments.

The above text classification processing includes vectorization processing and classification processing of documents. Vectorization processes include, for example, count-based (BoW (Bag of Words), TF-IDF (Term Frequency-Inverse Document Frequency), etc.) and inference-based (word2vec, doc2vec, fastText, BERT, etc.). Classification processes include, for example, unsupervised learning (Latent Semantic Indexing (LSI), Probabilistic LSI (PLSI), Latent Dirichet Allocation (LDA), etc.) and supervised learning (SVM, RF, NN, LR, naive Bayes, etc.). Note that when inference-based vectorization processing is performed, classification processing is performed by supervised learning.

Communication interface 113 performs data communication with HIS 120 and terminal device 130 connected via a network. The communication standard between the HIS 120 and the terminal device 130 may be any standard, but examples thereof include standards conforming to HL7 (Health Level Seven) and DICOM (Digital Imaging and Communications in Medicine).

The processing circuit 111 has a processor (not shown), ROM (Read-Only Memory), RAM and other memories, and controls the report creation assisting device 110 . The processing circuit 111 has a reception function 111a, an analysis function 111b, an evaluation function 111c, a determination function 111d, a specification function 111e, and a notification function 111f. Various functions performed by the reception function 111a, the analysis function 111b, the evaluation function 111c, the determination function 111d, the specific function 111e, and the notification function 111f are stored in the memory or the memory 112 in the form of programs executable by a computer. ing. The processing circuit 111 is a processor that reads programs corresponding to these various functions from the memory and executes them to implement functions corresponding to each program. In other words, the processing circuit 111 in a state where each program is read has a plurality of functions shown in the processing circuit 111 of FIG.

In the above description, the single processing circuit 111 realizes the various functions described above, but a plurality of independent processors may execute programs to realize the various functions. In other words, the various functions described above may be configured as programs, and one processing circuit may execute each program, or a specific function may be implemented in a dedicated, independent program execution circuit. good too. Instead of storing the program in the memory 112 or the like, the program may be configured to be directly embedded in the circuit of the processor. In this case, the processor implements its functions by reading and executing the program embedded in the circuit.

A processor in the processing circuit 111 performs various functions by reading and executing a program stored in the memory 112 or the like, for example. The reception function 111a, the analysis function 111b, the evaluation function 111c, the determination function 111d, the specification function 111e, and the notification function 111f of the processing circuit 111 are respectively a reception unit, an analysis unit, an evaluation unit, a determination unit, a specification unit, and a It is an example of a notification part.

The reception function 111a is a function for receiving various notifications from terminal devices and databases. Various notifications include, for example, report update information and a start instruction regarding predetermined processing. The processing circuit 111 receives an instruction from an operator (for example, a report creator and a doctor) via the terminal device 130 by the reception function 111a. The processing circuitry 111 also receives reports from the terminal device 130 . The processing circuit 111 also receives information on a plurality of doctors who can be consulted (consultable doctor information) from the doctor DB 122 . The consultable doctor information is information extracted from the work status table 1221 of doctors who can be consulted.

The analysis function 111b is a function for analyzing reports. The report analysis method is performed, for example, by subjecting the report to vectorization processing. The processing circuit 111 analyzes the report and generates an analysis result by the analysis function 111b. Specifically, the processing circuit 111 vectorizes the report and outputs (generates) the vectorized report as the analysis result. Note that the processing circuitry 111 may generate image analysis information by image analysis of the medical image included in the report. Image analysis information includes, for example, information on structures (eg, bones and organs) included in medical images. Also, the process executed by the analysis function 111b may be called "report analysis process".

The evaluation function 111c is a function for evaluating reports based on analysis results. In the report evaluation method, for example, the degree of similarity between a report to be evaluated and a reference report is calculated. A reference report is, for example, a representative of any cluster in the report vector data group 112a. The processing circuit 111 evaluates the report based on the analysis result and generates an evaluation result by the evaluation function 111c. Specifically, processing circuitry 111 identifies clusters in the report vector data group for vectorized reports. Then, the processing circuit 111 calculates the degree of similarity between the vectorized report and the representative of the identified cluster, and outputs (generates) the calculated degree of similarity as an evaluation result. Note that the process executed by the evaluation function 111c may be called "report evaluation process".

If image analysis information is generated when identifying the clusters, the processing circuit 111 may further identify the clusters based on the image analysis information. In this case, since clusters unrelated to the image analysis information are excluded, it is possible to reduce the dimension of vectorization. As a result, the speed of determination processing, which will be described later, can be increased. Focusing on the reduction of dimensions in vectorization, the processing circuit 111 may specify clusters based on not only the image analysis information but also DICOM tags, inspection purposes, or the like.

The judgment function 111d is a function for judging whether or not it is necessary to seek opinions on the report. A determination method is performed, for example, by comparing the degree of similarity with a threshold. The processing circuit 111 determines whether or not it is necessary to seek an opinion on the report based on the evaluation result by the determination function 111d. Specifically, the processing circuitry 111 determines whether or not the degree of similarity is greater than or equal to a threshold. If the processing circuit 111 determines that the degree of similarity is equal to or greater than the threshold value, it outputs a determination result indicating that consultation is unnecessary, and if it determines that the degree of similarity is less than the threshold value, it determines that consultation is necessary. Print the result. Note that the determination function 111d may perform determination processing regarding other functions. Further, the process executed by the determination function 111d may be called "consultation determination process".

The specifying function 111e is a function of specifying the other party who can be consulted. The identification method is performed, for example, by extracting (searching) a doctor related to the contents of the report as a consultation partner from available doctors. When the specifying function 111e determines that it is necessary to seek an opinion on the report, the processing circuit 111 specifies the other party with whom the report can be consulted. Specifically, the processing circuitry 111 extracts a doctor associated with the content of the report from the consultable doctor information based on the cluster to which the vectorized report belongs or any element of the cluster to which the vectorized report may belong. At this time, processing circuitry 111 may prioritize the extracted doctors. The order of priority is determined, for example, based on at least one of the language in which the report is written, the case of the patient, the purpose of the examination, and the examination environment (type of medical image diagnostic apparatus). In addition, priority may be determined based on physician costs. Note that the consultable doctor information may be vectorized using any of the above elements. Further, the process executed by the specifying function 111e may be called "partner specifying process".

The above arbitrary elements are, for example, elements that are missing when the report contents are vectorized. Specifically, the arbitrary element is an element having a weak relationship with the element of the report content, ie, an element lacking in the report content, among the plurality of elements with a high degree of contribution among the cluster elements. This will be specifically described with reference to FIG.

FIG. 5 is a diagram for explaining missing elements when the report contents are vectorized. FIG. 5 shows samples Sc corresponding to report contents and clusters CL to which the samples Sc may belong. For ease of explanation, two vectors V1 and V2 are assumed as the plurality of elements that contribute highly to the cluster CL. Furthermore, it is assumed that the sample Sc is close to the cluster CL and has a high probability of belonging to the cluster CL. Note that the cluster CL is, for example, a set of samples of past report contents regarding a certain finding.

To identify the missing element in sample Sc, processing circuitry 111 calculates a displacement vector d from sample Sc to sample Sr representing cluster CL. If the displacement vector d contains only the component of the vector V2, the sample Sc lacks the elements of the vector V2. Therefore, the processing circuit 111 can specify an appropriate consultee by extracting the consultee related to the elements of this vector V2.

The notification function 111f is a function for notifying a consultation approval request to the terminal device of the other party who can be consulted. The processing circuit 111 uses the notification function 111f to notify doctors extracted in relation to the content of the report in descending order of priority. Specifically, the processing circuit 111 notifies the partner with the highest priority, and if the notice of acceptance of consultation has not been received within a predetermined period of time, notifies the partner with the next highest priority. Thereafter, in the same manner, the processing circuit 111 sends notifications in descending order of priority until receiving the notification of acceptance of the consultation. Note that the notification function 111f may include a function of notifying the terminal device 210 of the report creator of the proposal and information from the report creation auxiliary device 220. FIG.

Next, the operation of the medical information system according to the first embodiment configured as described above will be described with reference to the sequence diagram of FIG. In the following description, the creation of an interpretation report will be described as an example.

FIG. 6 is a sequence diagram for explaining remote consultation preprocessing executed by the medical information system according to the first embodiment. The sequence diagram of FIG. 6 represents processing relating to the terminal device 210 of the report creator, the report creation auxiliary device 220, the doctor DB 230, and the destination terminal device 240. FIG. Note that the terminal device 210 and the destination terminal device 240 correspond to the terminal device 130 in FIG. 1, the report creation assistance device 220 corresponds to the report creation assistance device 110 in FIGS. 1 doctor DB122. It is also assumed that the report creation assistance device 220 has substantially the same configuration as the report creation assistance device 110 in FIG. Also, the report creation assistance device 220 and two or more terminal devices (for example, the terminal device 210 and the destination terminal device 240) may be collectively called a "report creation assistance system." For example, in the report creation assistance system, the terminal device 210 and the destination terminal device 240 communicate with each other via the report creation assistance device 220 . These matters also apply to subsequent figures.

Specifically, the sequence diagram of FIG. 6 represents the processing before the remote consultation processing, which will be described later. The pre-stage processing includes, for example, consultation proposal determination processing and counterparty identification processing. The consultation proposal determination process analyzes and evaluates the created report and determines whether or not it is necessary to seek an opinion on the report. In the partner identification process, a person who has consented to be consulted (consultation consent) is identified from the candidates of the consultable counterparts.

(Step ST110)
Terminal device 210 accepts a report update operation. The report update operation is, for example, an operation of clicking a confirm button on the interpretation report creation screen or an operation of temporarily saving by the report creator.

(Step ST120)
After the report update operation is performed, the terminal device 210 notifies the report creation auxiliary device 220 of the contents of the report. Specifically, the terminal device 210 outputs the interpretation report at the time when the report update operation is performed to the report creation auxiliary device 220 . The report creation auxiliary device 220 receives an interpretation report from the terminal device 210 .

(Step ST130)
Triggered by the reception of the interpretation report, the report creation auxiliary device 220 searches for a consultable doctor. Specifically, report creation assisting device 220 requests information on a consultable doctor from doctor DB 230 (step ST131). The request for consultable doctor information (consultable doctor information request) includes, for example, an instruction to extract a doctor whose work status is "present". Upon receiving the request for the consultable doctor information, the doctor DB 230 notifies the report creation assisting device 220 of the consultable doctor information (step ST132). As a result, the report creation assisting device 220 receives the consultable doctor information. Note that the processing of step ST130 is not limited to being triggered by the reception of the interpretation report, and may be performed at any timing. Moreover, the process of step ST130 may be repeatedly performed at arbitrary time intervals. As a result, information on consultable doctors can be constantly updated.

(Step ST140)
After the report update operation is performed, the report creation auxiliary device 220 executes report analysis processing. The report creation auxiliary device 220 performs vectorization processing on the interpretation report and generates a vectorized interpretation report as an analysis result.

(Step ST150)
After the report analysis process is executed, the report creation auxiliary device 220 executes the report evaluation process. The report creation assistant device 220 evaluates the interpretation report based on the analysis result and generates an evaluation result.

(Step ST160)
After the report evaluation process is executed, the report creation auxiliary device 220 executes the consultation determination process. Based on the evaluation result, the report creation auxiliary device 220 determines whether or not it is necessary to seek opinions on the interpretation report. In other words, report creation assistance device 220 determines whether consultation is necessary based on the evaluation result. In the sequence diagram of FIG. 6, it is assumed that consultation is necessary in step ST160.

(Step ST170)
After it is determined that consultation is necessary, report creation auxiliary device 220 notifies terminal device 210 of a consultation proposal. Terminal device 210 receives the consultation proposal notification.

(Step ST180)
After accepting the notification of consultation proposal, the terminal device 210 displays on the display screen that the notification of consultation proposal has been received. In response to this display, it is assumed that the report creator has performed an operation to receive a consultation proposal. By this operation, the terminal device 210 receives an instruction to receive a consultation proposal from the report creator.

(Step ST190)
After receiving the instruction to receive the consultation proposal from the report creator, the terminal device 210 makes a consultation request to the report creation assistant device 220 . Report creation assistance device 220 accepts a consultation request as a response to the notification of consultation proposal.

(Step ST200)
After accepting the consultation request, the report creation auxiliary device 220 executes the destination specifying process. Specifically, report creation assisting device 220 makes a consultation consent request to partner terminal device 240 (step ST201). The destination terminal device 240 that has received the request for consent to consultation displays a message indicating that the request for consent to consultation has been received at an arbitrary position on the display screen. For example, the destination terminal device 240 displays a pop-up notification having a UI (User Interface) that allows selection of whether or not to accept the consultation acceptance request. In response to this display, it is assumed that the partner doctor has performed an operation to the effect that the request for consent to consultation is received. By this operation, the destination terminal device 240 receives an instruction to receive a consultation acceptance request from the destination doctor (step ST202). After receiving the consultation consent request from the counterpart doctor, the counterpart terminal device 240 notifies the report creation assisting device 220 of the consultation consent. Report creation assisting device 220 receives a notification of consultation acceptance as a response to the consultation acceptance request (step ST203).

(Step ST210)
After accepting the notification of acceptance of the consultation, the report creation auxiliary device 220 notifies the terminal device 210 of the information of the consultation partner. Terminal device 210 receives the notification of the consultee information. Consultant information includes, for example, name and department.

(Step ST220)
After receiving the consultation partner information notification, the terminal device 210, the report creation auxiliary device 220, and the counterparty terminal device 240 start remote consultation processing. The remote consultation process is performed, for example, on a UI in which a report display screen and a chat screen are displayed side by side on one screen. The remote consultation process will be described later.

The remote consultation preprocessing executed by the medical information system according to the first embodiment has been described above. Next, in the remote consultation pre-processing, processing mainly performed by the report creation assisting device 220 will be described with reference to FIGS. 7 and 8. FIG.

FIG. 7 is a flowchart for explaining consultation proposal determination processing executed by the report creation assisting device according to the first embodiment. The consultation proposal determination process substantially corresponds to the process from step ST140 to step ST170 in the sequence diagram of FIG. The flowchart of FIG. 7 is started by the processing circuit 111 of the report creation auxiliary device 220 executing a program (consultation proposal determination program) related to consultation proposal determination, for example, when a report content notification is received from the terminal device 210. be done.

(Step ST310)
When the consultation proposal determination program is executed, the processing circuit 111 calls the analysis function 111b. Analysis function 111b causes processing circuitry 111 to analyze reports and generate analysis results. Specifically, the processing circuit 111 performs vectorization processing on the interpretation report and generates a vectorized interpretation report as an analysis result.

(Step ST320)
After generating the analysis results, processing circuit 111 calls evaluation function 111c. Evaluation function 111c causes processing circuitry 111 to evaluate reports based on the analysis results and generate evaluation results. Specifically, the processing circuit 111 identifies clusters in the report vector data group 112a for the vectorized interpretation report. Then, the processing circuit 111 calculates the degree of similarity between the vectorized interpretation report and the representative of the specified cluster, and generates the calculated degree of similarity as an evaluation result.

(Step ST330)
After generating the evaluation results, processing circuitry 111 invokes decision function 111d. The determination function 111d allows the processing circuit 111 to determine whether or not the evaluation result satisfies a predetermined condition. Specifically, the processing circuit 111 determines whether or not the similarity, which is the evaluation result, is equal to or greater than a threshold. If the similarity is greater than or equal to the threshold, that is, if the evaluation result satisfies a predetermined condition, the process ends. If the similarity is less than the threshold, that is, if the evaluation result does not satisfy the predetermined condition, the process proceeds to step ST340.

(Step ST340)
After determining that the evaluation result does not satisfy the predetermined condition, the processing circuit 111 calls the notification function 111f. With the notification function 111f, the processing circuit 111 notifies the terminal of the report creator of the consultation proposal. After step ST340, the processing of the flowchart of FIG. 7 ends.

FIG. 8 is a flow chart for explaining the counterpart identification process executed by the report creation assisting device according to the first embodiment. The destination specifying process substantially corresponds to the process of step ST200 in the sequence diagram of FIG. The flowchart of FIG. 8 is started by the processing circuit 111 of the report creation assisting device 220 executing a program for identifying the other party (the other party specifying program), for example, when a consultation request is received from the terminal device 210. be.

(Step ST410)
When the destination identification program is executed, processing circuit 111 calls identification function 111e. By means of the specific function 111e, the processing circuit 111 searches for a consultee related to the contents of the report. Specifically, the processing circuit 111 selects a cluster to which the vectorized interpretation report belongs or an arbitrary element representing a cluster to which the vectorized report may belong, and selects a consultation related to the selected element from the consultable doctor information. Narrow down your opponent.

(Step ST420)
After retrieving the consultation partner, the processing circuit 111 selects the consultation partner in descending order of priority. Specifically, the processing circuit 111 determines the priority of the narrowed down list of consultees under arbitrary conditions. The arbitrary condition is, for example, at least one of a language described in the interpretation report, a case of a patient regarding the interpretation report, an examination item regarding the interpretation report, and an examination environment regarding the interpretation report. Optional terms may also include physician costs. For example, if it is desired to have a consultation at a low cost, the processing circuit 111 sorts the narrowed down list of consultation partners in ascending order of cost.

In addition, when the transition is made from step ST450, the processing circuit 111 selects a consultation partner whose priority is one level lower than that of the consultation partner selected immediately before.

(Step ST430)
After selecting the consultation partner, the processing circuit 111 notifies a consultation acceptance request to the consultation partner's terminal device (other party's terminal device).

(Step ST440)
After notifying the other party's terminal device of the consultation acceptance request, the processing circuit 111 determines whether or not a consultation acceptance notification has been received from the other party's terminal device. If the notification of acceptance of consultation has been received from the other party's terminal device, the process proceeds to step ST460. If the notification of acceptance of consultation has not been received from the other party's terminal device, the process proceeds to step ST450.

(Step ST450)
If the notification of acceptance of consultation has not been received from the other party's terminal device, the processing circuit 111 determines whether or not a predetermined period of time has elapsed. The predetermined time corresponds to the time from when the pop-up notification is displayed on the other party's terminal device to when the answer as to whether or not to accept the consultation is selected, and is set to an arbitrary time. If the predetermined time has passed and the notice of acceptance of consultation has not been received, the process returns to step ST420. If the predetermined time has not elapsed, the process returns to step ST440 and waits for receipt of the notification of acceptance of the consultation. Note that the process of step ST450 may be included in the process of step ST440.

(Step ST460)
After receiving the notification of acceptance of the consultation from the other party's terminal device, the processing circuit 111 notifies the consultation party information to the terminal device of the report creator. After step ST460, the processing of the flowchart of FIG. 8 ends.

As described above, the report creation assisting device according to the first embodiment analyzes the report, generates the analysis result, evaluates the report based on the analysis result, generates the evaluation result, and generates the evaluation result based on the evaluation result. Then, it determines whether or not it is necessary to seek an opinion on the report, and if it is determined that it is necessary to seek an opinion on the report, it identifies the other party with whom consultation is possible and notifies the other party.

Therefore, the report creation assisting apparatus according to the first embodiment can improve the quality of the medical report by automatically providing the person with whom the medical report can be consulted according to the content of the medical report.

In the first embodiment, whether or not to execute the remote consultation process is suggested without the report creator being aware of it, but the present invention is not limited to this. For example, the report creation assisting device may accept an instruction requesting execution of remote consultation processing. In this case, the report creator issues an instruction requesting the execution of the remote consultation process to the report creation assisting device in order to voluntarily execute the remote consultation process.

(Second embodiment)
1st Embodiment demonstrated determining whether consultation proposal is required based on the content of a report. On the other hand, in the second embodiment, the determination of the frequency of consultation proposals (proposal frequency) based on the information of the report creator will be described.

FIG. 9 is a diagram showing a configuration example of a report creation assisting device according to the second embodiment. For example, as shown in FIG. 9, report creation assistant device 110A includes processing circuitry 111A, memory 112, and communication interface 113. FIG.

The processing circuit 111A further has a frequency determination function 111g. The frequency determination function 111g of the processing circuit 111A is an example of frequency determination processing. Since other functions are substantially the same as those of the processing circuit 111 in FIG. 4, description thereof will be omitted.

The frequency determination function 111g is a function for determining the frequency of sending a consultation proposal notice from the report creation auxiliary device to the terminal device of the report creator. The processing circuit 111A requests the user information of the received user ID from the doctor DB when the ID of the report creator (user ID) is received by the frequency determination function 111g. Then, the processing circuit 111A determines the frequency of sending consultation proposal notices based on the user information. Note that the processing circuit 111A may decide not to send the consultation proposal notification.

FIG. 10 is a sequence diagram for explaining user confirmation processing executed by the medical information system according to the second embodiment. The sequence diagram of FIG. 10 represents the processing related to the terminal device 210 of the report creator, the report creation assistant device 220A, and the doctor DB 230. FIG. It should be noted that the report creation assistance device 220A corresponds to the report creation assistance device 110A in FIG. 9 and has substantially the same configuration as the report creation assistance device 110A. Also, in the sequence diagram of FIG. 10, the destination terminal device 240 is omitted.

Specifically, in the sequence diagram of FIG. 10, whether or not the consultation proposal determination process in the sequence diagram of FIG. Decide how often you want to be notified of offers.

(Step ST510)
The terminal device 210 accepts a log-in operation of the report creator. The login operation is, for example, an operation of logging into interpretation report software by a report creator.

(Step ST520)
After the login operation is performed, the terminal device 210 notifies the report creator's user ID to the report creation assistant device 220A. Report creation auxiliary device 220A receives a user ID from terminal device 210 .

(Step ST530)
Triggered by the acceptance of the user ID, the report creation assistant device 220 searches for the report creator. Specifically, the report creation assisting device 220A requests the user information of the report creator from the doctor DB 230 (step ST531). User information includes, for example, carrier information. Upon receiving the user information request, the doctor DB 230 notifies the report creation assisting device 220A of the user information (step ST532). Thereby, the report creation assisting device 220A receives the user information.

(Step ST540)
After receiving the user information, the report creation auxiliary device 220A executes the proposal frequency determination process. The proposal frequency determination process determines whether or not to execute the remote consultation pre-processing of FIG. 6, or determines the frequency of notifying the consultation proposal in step ST170, according to the user information. Both of these determination processes may be performed, and it may be determined whether or not to perform the process of determining the frequency of notifying the consultation proposal according to the result of whether or not the remote consultation pre-processing is to be performed. .

For example, when determining whether or not to execute the remote consultation pre-processing, the report creation assisting device 220A determines whether to execute the remote consultation pre-processing based on the carrier information included in the user information. Specifically, for example, if the carrier has a predetermined number of years or more, the report creation assisting device 220A determines not to execute the remote consultation preprocessing. As a result, the report creation assistant device 220A can exclude users who do not require remote consultation, such as veteran radiologists whose report creators are, for example.

Further, for example, when determining the frequency of notifying the consultation proposal in step ST170, the report creation assisting device 220A determines the frequency of notifying the consultation proposal in step ST170 based on the carrier included in the user information. The consultation proposal notification in step ST170 is performed according to the determination process in step ST330 of the flowchart of FIG. Therefore, for example, the report creation assisting device 220A determines the frequency of notifying the consultation proposal by setting a predetermined condition (here, a threshold for the degree of similarity) for the determination process according to the carrier. As a result, the report creation assisting device 220A can increase or decrease the frequency of consultation proposal notifications by, for example, setting a threshold for similarity according to the carrier.

As described above, the report creation assisting device according to the second embodiment can determine the frequency of consultation proposals according to the career of the report creator.

(Third embodiment)
In the first and second embodiments, the pre-stage processing of remote consultation processing has been described. On the other hand, in the third embodiment, remote consultation processing will be described.

FIG. 11 is a diagram showing a configuration example of a report creation assisting device according to the third embodiment. For example, as shown in FIG. 11, report creation assistant device 110B includes processing circuitry 111B, memory 112, and communication interface 113. FIG.

The processing circuit 111B further has a comment analysis function 111h and an indication reflecting function 111i. A comment analysis function 111h and an indication reflection function 111i of the processing circuit 111B are examples of a comment analysis section and an indication reflection section, respectively. The other functions are substantially the same as those of the processing circuit 111A in FIG. 9, so description thereof will be omitted.

The comment analysis function 111h is a function that analyzes the contents of comments and classifies the comments. The processing circuit 111B uses the comment analysis function 111h to vectorize the comment contents and classify the comment contents according to the past comment vector data group. It is assumed that the comment vector data group is stored in memory 112 .

The indication reflection function 111i is a function for creating indication reflection information based on the analyzed comment content. The processing circuit 111B creates indication reflection information based on the content of the analyzed comment by the indication reflection function 111i. Specifically, the processing circuit 111B uses, for example, a document search question answering technique or a dialogue system technique to generate sentences corresponding to the content of the comment, and creates the generated sentences as the indication reflection information.

Note that the processing circuit 111B may create the indication reflection information based on information other than the content of the comment. For example, the processing circuit 111B may create the indication reflection information based on the patient's case, examination site, examination purpose, contents of the interpretation report, and the like.

FIG. 12 is a sequence diagram for explaining remote consultation processing executed by the medical information system according to the third embodiment. The sequence diagram of FIG. 12 represents the processing related to the terminal device 210 of the report creator, the report creation assistant device 220B, and the destination terminal device 240. FIG. It should be noted that the report creation assistance device 220B corresponds to the report creation assistance device 110B in FIG. 11 and has substantially the same configuration as the report creation assistance device 110B. Further, the doctor DB 230 is omitted in the sequence diagram of FIG. 12 .

Specifically, the sequence diagram of FIG. 12 represents the remote consultation process of step ST220 in the sequence diagram of FIG. Therefore, in FIG. 12, the report creator and the consultation partner have already been matched.

(Step ST610)
When the remote consultation process starts, report creation auxiliary device 220B instructs terminal device 210 and partner terminal device 240 to display a support UI. The support UI includes, for example, at least an interpretation report display screen (interpretation report display screen) and a chat screen for consultation. Terminal device 210 and destination terminal device 240 accept an instruction to display the support UI. Note that the support UI may differ between the terminal device 210 and the destination terminal device 240 .

(Step ST620)
The terminal device 210 displays the support UI according to the support UI display instruction. The support UI of the terminal device 210 includes, for example, at least an interpretation report display screen, an indication reflecting UI, and a chat screen for consultation.

FIG. 13 is a diagram illustrating a support UI according to the third embodiment. The support UI 300 in FIG. 13 includes an interpretation report display screen 310 , a viewer 320 , an indication reflecting UI 330 and a chat screen 340 .

The interpretation report display screen 310 includes an area for displaying patient information, an area for displaying findings/diagnosis, and an area for displaying medical images. The interpretation report display screen 310 may display the interpretation report creation screen of the interpretation report software as it is. That is, the interpretation report may be edited on the interpretation report display screen 310 on the support UI of the terminal device 210 .

Viewer 320 displays medical images stored in PACS 160 . The viewer 320 displays, for example, a medical image related to the interpretation report displayed on the interpretation report display screen 310 .

The indication reflecting UI 330 is a UI that allows selection of sentences to be added to the interpretation report. Specifically, one or more items are displayed on the indication reflecting UI 330, and the report creator can select any item to reflect the content of the selected item in the interpretation report. Items include, for example, sentences to be added to the report. One or more items displayed on the indication reflection UI 330 are created by analyzing the comments on the chat screen 340 by the report creation auxiliary device 220B. Hereinafter, information of one or more items displayed on the indication reflection UI 330 will be referred to as "indication reflection information".

The chat screen 340 displays real-time exchanges between the report creator and the consultation partner in the form of comments. Comments input to the chat screen 340 are analyzed by the report creation auxiliary device 220B, and an icon corresponding to the content of the comment on the chat screen 340 is added.

(Step ST630)
In response to the support UI display instruction, the destination terminal device 240 displays the support UI. The support UI of the destination terminal device 240 includes, for example, at least an interpretation report display screen, an indication reflecting UI, and a chat screen for consultation. Since the support UI of the destination terminal device 240 is substantially the same as the support UI 300 of FIG. 13, description thereof will be omitted. Note that the support UI of the destination terminal device 240 may only display the interpretation report on the interpretation report display screen 310 (that is, a configuration that cannot be edited), and the items displayed on the indication reflection UI 330 may not be selectable.

(Step ST640)
After the support UI is displayed, the destination terminal device 240 accepts a comment input operation. The comment input operation is, for example, an operation of inputting a comment on the chat screen by the person to be consulted.

(Step ST650)
After the comment input operation is performed, the destination terminal device 240 notifies the content of the input comment to the report creation auxiliary device 220B and the terminal device 210. FIG. Report creation auxiliary device 220B and terminal device 210 receive the notification of the content of the comment. As a result, the terminal device 210 updates the comment on the chat screen. Note that the comments on the chat screen may be updated after the comment analysis process, which will be described later.

(Step ST660)
Triggered by the reception of the comment content notification, the report creation auxiliary device 220B executes comment analysis processing. The comment analysis process analyzes the contents of comments, classifies the comments, and generates comment classification information. Further, the comment analysis processing may generate indication reflection information based on the classified comments. In the sequence diagram of FIG. 12, it is assumed that comment classification information and indication reflection information are generated in step ST660.

(Step ST670)
After the comment analysis process is executed, report creation auxiliary device 220B notifies terminal device 210 and destination terminal device 240 of the comment classification information. Terminal device 210 and correspondent terminal device 240 each receive comment classification information. After receiving the comment classification information, an icon corresponding to the classification result is added to the comment on the chat screen of each terminal device.

(Step ST680)
After the comment analysis process is executed, report creation auxiliary device 220B notifies terminal device 210 and destination terminal device 240 of the indication reflection information. Terminal device 210 and destination terminal device 240 each receive indication reflection information. After receiving the indication reflection information, one or more items are displayed on the indication reflection UI of each terminal device. Note that step ST680 may be executed simultaneously with step ST670.

(Step ST690)
After notification of the comment classification information and the indication reflection information, the terminal device 210 updates the screen display and displays the indication reflection UI. Updating the screen display is, for example, adding an icon to the comment on the chat screen.

(Step ST700)
After being notified of the comment classification information and the pointing reflection information, the destination terminal device 240 updates the screen display. Updating of the screen display is substantially the same as that of the terminal device 210 .

(Step ST710)
After the indication reflection UI is displayed, the terminal device 210 accepts an indication reflection selection operation. The indication reflecting selection operation is, for example, an operation in which any one of the one or more items displayed on the indication reflecting UI is selected by the report creator. By this operation, the selected item is added to the interpretation report display screen of the terminal device 210, and the interpretation report is updated.

(Step ST720)
After the indication reflection selection operation is performed, the terminal device 210 notifies the report creation auxiliary device 220B and the destination terminal device 240 of the selected content. The report creation auxiliary device 220B and the destination terminal device 240 each receive the selection content notification. After receiving the selection content notification, the items selected by the report creator are added to the image interpretation report display screen of the destination terminal device 240 .

The remote consultation process executed by the medical information system according to the third embodiment has been described above. Next, in the remote consultation process, the process mainly performed by the report creation assisting device 220B will be described with reference to FIG.

FIG. 14 is a flowchart for explaining comment analysis processing executed by the report creation assisting device according to the third embodiment. The comment analysis process substantially corresponds to the process from step ST660 to step ST680 in the sequence diagram of FIG. The flow chart of FIG. 14 is started by executing a comment analysis program (comment analysis program) by the processing circuit 111B of the report creation auxiliary device 220B, for example, when a comment content notification is received from the destination terminal device 240. be done.

(Step ST810)
When the comment analysis program is executed, processing circuit 111B calls comment analysis function 111h. With the comment analysis function 111h, the processing circuit 111B analyzes the content of the comment and classifies the comment. Specifically, the processing circuit 111B applies vectorization processing to the comment content, and classifies the comment content according to the past comment vector data group.

Classification of comment content includes, for example, confirmation comments, pointing comments, and normal comments. A confirmation comment is, for example, a comment pointing out advice on an interpretation report, and is a comment that does not need to be added to the interpretation report. The pointing comment is, for example, a comment pointing out an omission in the description content, and is a comment that needs to be added to the content of the interpretation report. Normal comments are, for example, comments other than confirming comments and pointing comments. Hereinafter, the information indicating the classification of these comment contents will be referred to as "comment classification information".

(Step ST820)
After the comment content is analyzed, the processing circuit 111B determines whether to add an icon to the classified comment content. The determination here is made, for example, according to the classification of the comment content included in the comment classification information. The processing circuit 111B determines not to add an icon if the content of the comment is a normal comment, and determines to add an icon if the content of the comment is other than a normal comment. If it is determined to give an icon, the process proceeds to step ST830. If it is determined not to give the icon, the process ends.

(Step ST830)
After it is determined that the icon is added, the processing circuit 111B determines whether or not to create indication reflection information in accordance with the content of the classified comment. The determination here is made, for example, according to the classification of the comment content. The processing circuit 111B determines not to create indication reflection information if the comment content is a confirmation comment, and determines to create indication reflection information if the comment content is an indication comment. If it is determined to create indication reflection information, the process proceeds to step ST840. If it is determined not to create indication reflection information, the process proceeds to step ST850.

(Step ST840)
After determining to create the indication reflection information, the processing circuit 111B calls the indication reflection function 111i. By means of the pointing reflection function 111i, the processing circuit 111B creates pointing reflection information based on the content of the analyzed comment. Then, the processing circuit 111B notifies the terminal device of the comment classification information and the indication reflection information.

(Step ST850)
After determining not to create the indication reflection information, the processing circuit 111B notifies the terminal device of the comment classification information. After step ST850, the processing of the flowchart of FIG. 14 ends.

Next, display of the support UI regarding the flow chart of FIG. 14 will be described with reference to FIGS. 15 to 18. FIG. It is assumed that the support UI described below is displayed on the terminal device 130 of the report creator. The support UI displayed on the counterpart terminal device 240 is substantially the same as the support UI displayed on the terminal device 130, except that the orientation of the comments on the chat screen is different.

FIG. 15 shows the support displayed on the terminal device 130 immediately after the comment 341 "Considering the age of the patient, I think that *** needs a physiological examination." A UI 300 is shown. The comment 341 is for the character string 311 "There is also a possibility of ***." At this time, the report creation auxiliary device 220B analyzes the comment 341 and classifies the comment 341 as a pointing comment. Furthermore, the report creation assisting device 220B generates indication reflecting information based on the analyzed comment 341. FIG. The report creation auxiliary device 220B notifies the terminal device 130 of the comment classification information and the indication reflection information.

FIG. 16 shows the support UI 300 after notification of comment classification information and indication reflection information. After receiving the comment classification information and the pointing reflection information, the terminal device 130 assigns the pointing comment icon 342 to the comment 341 . Further, the terminal device 130 causes the indication reflection UI 330 to display the indication reflection information. Here, for example, the item 331 "Physiological test A is recommended" and the item 332 "Physiological test B is recommended" are displayed as the pointing reflection information. Note that the report creation assisting device 220B may include in the comment classification information an instruction to apply markup such as coloring in order to highlight the description of the comment 341 related to the indication reflection information.

FIG. 17 shows the support UI 300 after item 331 has been selected by the report author and the report description has been updated. After the item 331 is selected, the terminal device 130 automatically adds the character string 312 “Physiological test A is recommended” to the finding/diagnosis on the interpretation report display screen 310 . At this time, the terminal device 130 may markup the character string 312 in the same manner as described above. After the character string 312 is added to the interpretation report display screen 310, the report creator updates the report description by clicking the confirm button. As a result, the terminal device 130 notifies the updated report contents to the report creation auxiliary device 220B. The report creation auxiliary device 220B notifies each terminal device of an instruction to display on the chat screen 340 a comment 343 “Report description has been updated” indicating that the report description has been updated in the remote consultation process.

FIG. 18 shows the support UI 300 after the report description has been updated. A chat screen 340 in the support UI of FIG. 18 shows a comment 344 "Updated" by the report creator and a comment 345 "No problem" by the person to consult after the report description has been updated. Note that the comment 346 immediately preceding the comment 341 classified as an indication comment, "It's faster if you check it from the back with MIP." It is

As described above, report creation assisting device 220B creates indication reflection information based on chat comments, but the present invention is not limited to this. Report creation assisting device 220B may create similar pointing reflection information even if there is no specific description in the chat comment (in the above example, "Physiological test is also necessary"). For example, the report creation auxiliary device 220B may create pointing reflection information by inferring the content of the comment based on the content of the interpretation report. At this time, the report creation auxiliary device 220B may create indication reflection information further based on the patient's case, examination site, and examination purpose.

As described above, the report creation assisting device according to the third embodiment enables the terminal device of the report creator and the partner's terminal device to communicate with each other by displaying the support UI. This enables smooth communication between the report creator and the other party.

In addition, this report creation assisting device classifies comments input from the other party's terminal, adds an icon corresponding to the content of the comment on the chat screen of the support UI, and generates sentences to be added to the report. can be done. As a result, it is possible to pay attention to and compensate for omissions in the contents of the report by the report creator, and to reflect the consultation results in the medical report more simply and without misunderstanding, thereby improving the quality of the medical report.

(Other embodiments)
In each of the above embodiments, creation of an interpretation report has been described as a specific example, but the present invention is not limited to this. For example, the report creation assisting device is applicable to medical records, medical records, nursing records, etc., as long as they are written by a medical worker, regardless of whether he is a doctor or not. For example, when the report creation auxiliary device is used to create nursing records, the HIS 120 includes a nurse DB that stores information about nurses. The interpretation report, medical examination record, medical care record, and nursing record may be called "medical reports" because they are reports used for medical treatment.

According to at least one of the embodiments described above, it is possible to automatically provide a person who can be consulted according to the content of the medical report.

While several embodiments have been described, these embodiments are provided by way of example and are not intended to limit the scope of the invention. These embodiments can be implemented in various other forms, and various omissions, replacements, changes, and combinations of embodiments can be made without departing from the scope of the invention. These embodiments and their modifications are included in the scope and spirit of the invention, as well as the scope of the invention described in the claims and equivalents thereof.

100 Medical information system 110, 110A, 110B, 220, 220A, 220B Report creation auxiliary device 111, 111A, 111B Processing circuit 111a Reception function 111b Analysis function 111c Evaluation function 111d Judgment function 111e Specific function 111f Notification function 111g Frequency determination function 111h Comment Analysis function 111i Indication reflecting function 112 Memory 112a Report vector data group 113 Communication interface 120 Hospital Information Systems (HIS)
121 Electronic Medical Record DB
122 Doctor DB
1221 Work status table 1222 Doctor information table 130, 210 Terminal device 140 Radiology Information Systems (RIS)
150 medical image diagnostic apparatus 160 medical image management system (Picture Archiving and Communication Systems: PACS)
240 destination terminal device 310 interpretation report display screen 320 viewer 340 chat screen

Claims (15)

an analysis unit that analyzes the report and generates an analysis result;
an evaluation unit that evaluates the report based on the analysis result and generates an evaluation result;
a determination unit that determines whether it is necessary to seek an opinion on the report based on the evaluation result;
a specifying unit that specifies a person who can be consulted when it is determined that it is necessary to seek an opinion on the report;
and a notification unit that notifies the other party. The analysis unit performs vectorization processing on the report and generates a vectorized report as the analysis result.
The report creation assisting device according to claim 1. The evaluation unit generates a degree of similarity between the vectorized report and a reference report as the evaluation result.
3. The report creation assisting device according to claim 2. The evaluation unit identifies a cluster in a report vector data group obtained by subjecting past reports to text classification processing, and identifies the vectorized report and the reference report that is a representative of the cluster. is generated as the evaluation result.
4. The report creation assisting device according to claim 3. The determination unit performs determination based on the degree of similarity and a threshold according to the career of the report creator.
5. The report creation assisting device according to claim 4. further comprising a reception unit for receiving information on a plurality of doctors who can be consulted,
The identifying unit selects an arbitrary element representing the cluster, and extracts a plurality of counterparts related to the report from the plurality of consultable doctors based on the arbitrary element.
6. The report creation assisting device according to claim 4 or 5. The identification unit identifies the destination from among the plurality of destinations based on priority.
7. The report creation assisting device according to claim 6. The priority is determined based on at least one of the language described in the report, the patient's case regarding the report, the test item regarding the report, and the test environment regarding the report,
The report creation assisting device according to claim 7. the priority is further determined based on physician costs;
9. The report creation assisting device according to claim 8. a terminal device that creates the report;
a destination terminal device of the destination;
A report creation auxiliary device according to any one of claims 1 to 9,
The report creation assistance system, wherein the terminal device and the destination terminal device communicate with each other via the report creation assistance device. The terminal device and the destination terminal device display a support UI (User Interface) including a display screen of the report and a chat screen.
11. The report creation assistance system according to claim 10. The report creation auxiliary device classifies the comments on the chat screen input by the counterpart terminal device.
12. The report creation assistance system according to claim 11. The report creation auxiliary device assigns an icon to the classified comments,
13. The report creation assistance system according to claim 12. The report creation auxiliary device generates one or more items to be added to the report based on the comment input by the destination terminal device,
The support UI further includes an indication display UI that displays the one or more items.
The report preparation assistance system according to any one of claims 11 to 13. The terminal device updates the report by selecting any of the one or more items displayed on the indication display UI.
15. The report creation assistance system according to claim 14.

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