JP2023049234A - Medical information processing device - Google Patents

Abstract

To efficiently prepare a medical treatment fee statement.SOLUTION: A medical information processing device comprises an acquisition section, an identification section, an extraction section, and an output section. The acquisition section acquires medical information at least including information on a medical practice performed on a subject. The identification section identifies a medical practice to be a calculation target of a medical treatment fee on the basis of a calculation reference defining a calculation requirement of the medical treatment fee related to the medical practice and the medical information acquired in the acquisition section. The extraction section extracts information satisfying a calculation requirement of the medical practice identified in the identification section as evidence from the medical information. The output section associates and outputs points of the medical treatment fee corresponding to the medical practice identified in the identification section and the evidence extracted by the extraction section.SELECTED DRAWING: Figure 1

Description

This embodiment relates to a medical information processing apparatus.

When medical institutions such as hospitals calculate medical fees, they are required to attach evidence showing that the calculation conditions are met in order to prove that the calculated value is appropriate. Traditionally, this evidence has been attached manually by a person in charge of medical affairs, etc., who searches for evidence from medical charts, etc., and enters it manually when creating a medical fee statement (also called a receipt) for accounting processing, etc. It is done by

However, the task of searching for evidence from records in medical charts and manually entering the evidence is a heavy burden on the person in charge. For this reason, there is a demand for a technique that can more efficiently create medical fee statements.

JP 2020-119572 A

The problem to be solved by the present invention is to efficiently create medical fee statements.

A medical information processing apparatus according to this embodiment includes an acquisition unit, an identification unit, an extraction unit, and an output unit. The acquiring unit acquires medical information including at least information about medical treatment performed on a subject. The identifying unit identifies medical practices for which medical fees are to be calculated, based on calculation standards that define requirements for calculating medical fees related to medical practices and medical information acquired by the acquiring unit. The extraction unit extracts information that satisfies the calculation requirements for the medical practice specified by the specification unit from the medical information as evidence. The output unit associates and outputs the medical fee points corresponding to the medical practice identified by the identification unit and the evidence extracted by the extraction unit.

FIG. 1 is a diagram showing an example of the configuration of a medical information processing system according to an embodiment. FIG. 2 is a diagram showing an example of finding information according to the embodiment. FIG. 3 is a diagram illustrating an example of requirements for calculating medical fees according to the embodiment. FIG. 4 is a diagram illustrating an example of an electronic medical chart according to the embodiment; FIG. 5 is a diagram illustrating an example of input to an electronic medical record according to the embodiment; FIG. 6 is a diagram showing an example of a display of a calculation result of medical fees according to the embodiment. FIG. 7 is a schematic diagram of an example of processing of the medical information processing system according to the embodiment. FIG. 8 is a flowchart illustrating an example of extraction processing executed by the medical information processing apparatus according to the embodiment; FIG. 9 is a flowchart illustrating an example of order processing executed by the medical information processing apparatus according to the embodiment; FIG. 10 is a flowchart illustrating an example of accounting processing executed by the medical information processing apparatus according to the embodiment;

Hereinafter, embodiments of the medical information processing apparatus will be described in detail with reference to the drawings. In the following embodiments, it is assumed that parts denoted by the same reference numerals perform the same operations, and overlapping descriptions will be omitted as appropriate. Note that the medical information processing apparatus according to the present application is not limited to the embodiments shown below.

An overall configuration of a medical information processing apparatus according to an embodiment will be described. FIG. 1 is a diagram showing an example of the configuration of a medical information processing system S according to an embodiment. The medical information processing system S includes a medical information processing apparatus 1 and a hospital information system (HIS) 3 . The medical information processing apparatus 1 is connected to the hospital information system 3 via the communication network 31 .

Although the medical information processing apparatus 1 is not included in the hospital information system 3 in this embodiment, the medical information processing apparatus 1 may be included in the hospital information system 3 . Hereinafter, the hospital information system 3 will be described first, and then the medical information processing apparatus 1 will be described.

The hospital information system 3 includes an electronic chart system 33, a radiology department information system 35, a report creation device 37, a medical image diagnosis device 39, a medical image management system 41, a clinical examination department information system 43, and other department systems. 45 and .

The electronic chart system 33, the radiology department information system 35, the report creation device 37, the medical image diagnosis device 39, the medical image management system 41, the clinical examination department information system 43, and the other department system 45 are wired. Alternatively, they are connected to each other via a wireless communication network 31 .

The electronic medical chart system 33 is an information system that manages electronic medical charts for recording medical care contents. The electronic medical chart system 33 includes an electronic medical chart server device and an electronic medical chart terminal device. The electronic medical chart server device is a computer device that executes processing related to electronic medical chart management.

The electronic medical record server device is composed of one to a plurality of computer devices depending on the scale of the system. The electronic medical chart terminal device is used by doctors, nurses, etc. who input and refer to electronic medical charts, and one to multiple units are provided depending on the scale of the system. The electronic medical chart server device and electronic medical chart terminal device are connected to a communication network 31 .

The electronic chart server device receives information about examination orders (hereinafter referred to as order information) from the medical information processing device 1 . Order information will be described later. Test results for all tests described in the order information are recorded in the subject's electronic medical record identified by the patient ID included in the order information.

Once the test results are recorded in the electronic medical record, the clinician who placed the test order makes a diagnosis based on the test results and writes the diagnosis in the subject's electronic medical record. The diagnosis result includes information such as disease name (diagnosis name such as suspected disease name and confirmed disease name), stage, severity of disease stage, and the like. Each stage and severity of disease are defined according to a predetermined definition document.

The electronic medical chart terminal device inputs diagnostic results based on various examinations of a subject according to instructions from a clinician, for example. The diagnosis result is stored in the electronic chart server device. In addition, the electronic medical record terminal device inputs the result of medical treatment (hereinafter referred to as medical treatment result) executed based on the diagnosis result according to the clinician's instruction.

Treatment results are stored in the electronic chart server device. Treatment results include, for example, the presence or absence of surgery, the excision area of the surgical target site (e.g., total resection, partial preservation), the feasibility of surgery after laparotomy, the presence or absence of radiotherapy, and a series of treatment events in chronological order. be.

The electronic medical chart server device may store information such as letters of introduction from other medical facilities. Further, the electronic medical chart server device may store the contents of the letter of introduction as one of the information included in the electronic medical chart.

A radiology information system (RIS) 35 is an information system for managing information in a radiology department in a hospital, and includes a radiology department information server device and a radiology department information terminal device. The radiology department information server device is a computer device that executes processing related to information management in the radiology department.

The radiology department information server device is composed of one to a plurality of computer devices depending on the scale of the system. The radiology department information terminal device is used by laboratory technicians in the radiology department, and one or more units are provided depending on the scale of the system. The radiology department information server device and radiology department information terminal device are connected to a communication network 31 .

As an example of operation, the radiology department information server apparatus receives order information from the medical information processing apparatus 1 and acquires information about the medical image diagnostic apparatus 39 from the order information. The radiology department information server apparatus transmits the order information to the medical image diagnostic apparatus 39 specified by the order information.

When the order information is transmitted to the medical image diagnostic apparatus 39, the radiology department information server apparatus may add information such as the patient ID and examination date to a DICOM (Digital Imaging and Communications in Medicine) tag or the like. .

The report creation device 37 is a device for an image interpretation doctor to create an interpretation report of a medical image. The report creation device 37 is realized by, for example, a PC (Personal Computer) terminal in the medical image management system 41 .

The report creation device 37 receives order information and patient information from the medical information processing device 1 via the communication network 31 . In response to receiving the order information and the patient information, the report creation device 37 creates an interpretation report template in which predetermined information such as patient information, examination information, and requester information for the interpretation report is written.

The report creation device 37 acquires medical images necessary for creating an interpretation report from the medical image management system 41 . Further, when an instruction to create an interpretation report is given, the report creation device 37 displays a report creation screen for an interpretation report template in which predetermined information is written. The report creation screen displays a "confirm" button indicating that the content of the interpretation report has been confirmed.

The report creation device 37 creates an interpretation report based on finding information on the report creation screen input by the interpreting doctor. Contents to be input in the interpretation report may be selected by the user from a plurality of items displayed on the report creation screen. The interpretation report includes a medical image used for diagnosis (hereinafter referred to as a key image), an interpretation doctor's findings (including a suspected disease name, etc.) for the key image, and the like.

A key image is attached with a patient ID, an examination ID, and an image ID based on order information. Note that the key image may be associated with the interpretation report using a technique such as Harperlink. Also, a mark or an annotation may be superimposed on the key image in order to explain the findings.

When confirming the content displayed on the report creation screen, the interpretation doctor operates a "Confirm" button or the like to instruct the confirmation of the interpretation report. At this time, the report creation device 37 stores the created interpretation report in, for example, the medical image management server device in the medical image management system 41 .

In addition, when the interpretation doctor instructs to confirm the interpretation report, the report creation device 37 transmits the created interpretation report to the medical information processing device 1 . In addition, the report creation device 37 transmits the created interpretation report to the electronic medical record system 33 in response to a request from the examining doctor.

The medical image diagnostic device 39 is a device that acquires medical images, such as an X-ray diagnostic device, an X-ray computed tomography (CT) device, and a magnetic resonance imaging device. A plurality of medical image diagnostic apparatuses 39 may be connected via the communication network 31 .

The medical image diagnostic apparatus 39 performs imaging of a subject in response to an operation for starting imaging by a technician or the like based on an examination order from the radiology department information system 35 . By executing imaging, the medical image diagnostic apparatus 39 collects data indicating the state of the body tissue of the subject. The medical image diagnostic device 39 then generates a medical image based on the data. The medical image diagnostic apparatus 39 transmits the generated medical image to the medical image management system 41 together with the order information.

A medical image management system (PACS: Picture Archiving and Communication Systems) 41 is an information system that manages medical images such as X-ray CT images and MR images. The medical image management system 41 may manage not only image data after reconstruction but also data before reconstruction (raw data).

The medical image management system 41 includes a medical image management server device. The medical image management server device is a computer device that executes processing related to management of medical images. A medical image management server device is composed of one to a plurality of computer devices depending on the scale of the system. The medical image management server device is connected to the communication network 31 .

When the medical image management server apparatus receives the medical image and the order information from the medical image diagnostic apparatus 39, it stores the medical image and the order information in association with each other. In addition, the medical image management server device stores the interpretation report created by the report creation device 37 and appropriately manages it.

A laboratory information system (LIS: Laboratory Information System) 43 is an information system that manages information in the laboratory laboratory department in the hospital. The clinical examination department information system 43 includes a clinical examination department information server device, a clinical examination department information terminal device, and examination equipment. In the clinical examination department information system 43 , the clinical laboratory technologist performs specimen examinations and physiological function examinations based on the order information transmitted from the electronic chart system 33 . The sample test may be outsourced to an external testing agency such as a health laboratory.

The clinical examination department information server device is a computer device that executes processing related to information management in clinical examinations. The clinical examination department information server device is composed of one to a plurality of computer devices depending on the scale of the system. The clinical examination department information terminal device is used by laboratory technicians in the clinical examination department, and one or more units are provided depending on the scale of the system. The clinical laboratory information server device and the clinical laboratory information terminal device are connected to the communication network 31 .

The testing equipment is equipment related to specimen testing, in which samples such as blood and urine obtained from patients are analyzed by clinical laboratory technologists, and physiological function testing, in which electroencephalograms, electrocardiograms, and the like of patients are measured. Incidentally, specimen tests include, for example, pathological tests, blood/biochemical tests, general tests such as urine and stool tests, immune serum tests, microbiological tests, blood transfusion and organ transplant related tests, and the like. Physiological function tests include, for example, electroencephalography, respiratory function tests, cardiac system tests, fundus photography, and the like.

A plurality of testing devices are installed according to the type of specimen test and the type of physiological function test. At least part of the sample test may be performed by an external testing agency. At this time, the clinical laboratory information server apparatus receives and stores test results related to specimen tests from external testing institutions. Also, the clinical examination department information server device transmits the examination results to the electronic chart system 33 .

Other department systems 45 are, for example, an operation department system, a rehabilitation department system, a dialysis department system, and the like. Similar to the radiology department information system 35 and clinical examination department information system 43 described above, in the other department system 45 as well, surgery execution reports, rehabilitation execution reports, etc. created. The other department system 45 transmits the created surgery implementation report, rehabilitation implementation report, and the like to the electronic chart system 33 .

The medical information processing apparatus 1 is connected to the hospital information system 3 via the communication interface 11 and communication network 31 . Note that the medical information processing apparatus 1 may be incorporated into the hospital information system 3 . Further, the medical information processing apparatus 1 may be used as the report creating apparatus 37 or the like.

The medical information processing apparatus 1 shown in FIG. 1 includes a communication interface 11, a memory 13 (storage unit), a display 15 (display unit), an input interface 17 (input unit), and a processing circuit 19 (processing unit). have. Data communication between the communication interface 11, the memory 13, the display 15, the input interface 17 and the processing circuit 19 is performed via a bus (BUS).

The communication interface 11 performs data communication with the hospital information system 3 . Any standard may be used for the communication between the communication interface 11 and the hospital information system 3, and examples thereof include HL7 (Health Level 7), DICOM, or both.

The memory 13 stores various information. The memory 13 is a storage device such as an HDD (Hard Disk Drive), an SSD (Solid State Drive), or an integrated circuit storage device that stores various information. The memory 13 stores a control program according to this embodiment.

The memory 13 also stores calculation criteria. Calculation standards are used to calculate medical fees. The calculation standard is, for example, information that associates medical treatment, calculation requirements, and medical fee points. Medical practices include, for example, interviews, examinations, issuance of prescriptions, treatment, and the like.

Calculation requirements are conditions that need to be satisfied in order to calculate medical fees, such as "when a specific disease is suspected as a result of performing a specific examination". Depending on the type of medical practice, there are cases where the performance of the medical practice alone satisfies the calculation requirements. Note that the calculation standards are determined, for example, based on the medical fee calculation requirements published by the Ministry of Health, Labor and Welfare. Although the calculation criteria are stored in the memory 13 in this embodiment, the calculation criteria may be stored in an external storage device such as a server device.

The calculation of medical fees will be described below using coronary CT imaging as an example. FIG. 2 is a diagram showing calculation requirements for coronary CT imaging. As shown in FIG. 2, when coronary artery CT imaging is performed, 600 points are calculated in cases from a to e.

In this case, "coronary CT imaging", "calculation requirements from A to E", and "600 points" are associated and registered as one of the information included in the calculation criteria. As a result, it is possible to determine whether or not the medical fee points can be calculated based on the medical treatment performed on the subject and the determination result as to whether or not the calculation requirements are satisfied.

In addition, for example, the memory 13 stores finding information including evidence or grounds (hereinafter referred to as evidence) for determining points in medical fee calculation. For example, the finding information is stored in association with the examination date, examination item, examination purpose, evidence, the place where the evidence is written, the result, etc. for each patient ID. Information extracted from medical information such as an electronic chart is stored in the finding information. Note that the finding information is used when attaching evidence to medical fee statements.

FIG. 3 is a diagram showing an example of finding information. In this example, the finding information stores patient ID, examination date, examination, purpose of examination, evidence (symptom), storage location, and examination result in association with each other.

The inspection date is information representing the date and time when the inspection was performed. An inspection is information representing an inspection item that has been performed. For example, the examination includes an image examination using the medical image diagnostic apparatus 39, a specimen examination, a physiological function examination, and the like. The inspection purpose is information representing the purpose of the inspection. For example, the examination purpose is the name of a disease (suspected disease name) that is suspected based on the content of an interview, examination results, or the like.

Evidence is evidence and information that serves as evidence for the calculation of medical fees. For example, the evidence is findings derived from test results. The storage location represents the storage location of the medical information that describes the evidence. For example, the storage location may represent the type of medical information such as an electronic medical record or interpretation report, or may be an address where the corresponding medical information is actually stored. The result is information representing the conclusion (diagnosis result, etc.) of the performed examination.

For example, the first column in FIG. 3 shows that the subject identified by the patient ID “P001” was suspected of having “acute coronary syndrome”, so an “electrocardiogram” was first performed, and the findings (symptoms) were “acute coronary syndrome”. This indicates that "syndrome with high urgency for treatment" was entered in the "electronic medical record" and was diagnosed as "needs close examination -> CT examination (needs close examination, then CT examination)".

In the second column, in response to the results of the "electrocardiogram", "coronary artery CT imaging" was performed as a detailed examination of "acute coronary syndrome", and "structural abnormality" as a finding (symptom) was "interpretation report". , indicating that it was diagnosed as "abnormality recognized, operation required". In this way, the finding information stores information related to the evidence together with information serving as evidence for medical fee calculation.

The memory 13 may be a CD (Compact Disc), a DVD (Digital Versatile Disc), a portable storage medium such as a flash memory, or a semiconductor memory device such as a RAM (Random Access Memory), in addition to an HDD or SSD. It may be a driving device that reads and writes various information between.

The display 15 displays various information. For example, the display 15 outputs a GUI (Graphical User Interface) or the like for accepting various operations from the user.

As the display 15, for example, a liquid crystal display (LCD: Liquid Crystal Display), a CRT (Cathode Ray Tube) display, an organic EL display (OELD: Organic Electro Luminescence Display), a plasma display, or any other display can be used. can.

The display 15 may be of a desktop type, or may be configured by a tablet terminal or the like capable of wireless communication with the main body of the medical information processing apparatus 1 .

The input interface 17 receives various input operations from the user, converts the received input operations into electrical signals, and outputs the electrical signals to the processing circuit 19 . For example, the input interface 17 receives selection instructions, various conditions, and the like from the user. As the input interface 17, for example, a mouse, keyboard, trackball, switch, button, joystick, touch pad, touch panel display, etc. can be used as appropriate.

In this embodiment, the input interface 17 is not limited to physical operation components such as a mouse, keyboard, trackball, switch, button, joystick, touch pad, and touch panel display.

For example, the input interface 17 includes an electrical signal processing circuit that receives an electrical signal corresponding to an input operation from an external input device provided separately from the device and outputs the electrical signal to the processing circuit 19. . Also, the input interface 17 may be composed of a tablet terminal or the like capable of wireless communication with the main body of the medical information processing apparatus 1 .

The processing circuit 19 controls the operation of the entire medical information processing apparatus 1 according to the electrical signal of the input operation output from the input interface 17 . For example, the processing circuit 19 includes, as hardware resources, processors such as a CPU (Central Processing Unit), MPU (Micro Processing Unit), and GPU (Graphics Processing Unit), and memories such as a ROM (Read Only Memory) and a RAM. .

In addition, the processing circuit 19 may be an Application Specific Integrated Circuit (ASIC), a Field Programmable Gate Array (FPGA), or another Complex Programmable Logic Device (CPLD). ), a Simple Programmable Logic Device (SPLD), or the like.

The processing circuit 19 has a system control function 191, a display control function 193, an acquisition function 195, a specific function 197, an extraction function 199, a condition management function 201, an order function 203, an accounting function 205, and an output function 207. It is stored in the memory 13 in the form of a computer-executable program.

The processing circuit 19 performs a system control function 191, a display control function 193, an acquisition function 195, a specific function 197, an extraction function 199, a condition management function 201, an order function 203, and an accounting function by means of a processor that executes programs developed in memory. 205, and output function 207.

That is, the processing circuit 19 corresponds to a processor that implements functions corresponding to each program by reading the program from the memory 13 and executing the program. In other words, the processing circuit 19 having read each program has a function corresponding to the read program.

Each function of the system control function 191, the display control function 193, the acquisition function 195, the specific function 197, the extraction function 199, the condition management function 201, the order function 203, the accounting function 205, and the output function 207 is a single process. It is not limited to the case where it is implemented by a circuit.

For example, a processing circuit is configured by combining a plurality of independent processors, and each processor executes a program to perform a system control function 191, a display control function 193, an acquisition function 195, a specific function 197, an extraction function 199, and a condition management function. Each function of the function 201, the order function 203, the checkout function 205, and the output function 207 may be realized.

Note that the acquisition function 195 is an example of an acquisition unit. Also, the specific function 197 is an example of a specific part and a calculation part. Also, the extraction function 199 is an example of an extraction unit. Also, the condition management function 201 is an example of a management unit. The order function 203 is an example of a generator. Accounting function 205 is an example of an accounting department. Also, the output function 207 is an example of an output unit.

The system control function 191 controls each function of the processing circuit 19 based on input operations received from the user via the input interface 17 . Specifically, the system control function 191 reads out the control program stored in the memory 13, develops it on the memory in the processing circuit 19, and controls each part of the medical information processing apparatus 1 according to the developed control program. .

The display control function 193 controls display of various information on the display 15 . Information displayed by the display control function 193 will be described later.

The acquisition function 195 acquires medical information including at least information about a medical treatment performed on a subject and medical information related to the details of the medical treatment. For example, the acquisition function 195 acquires the electronic medical chart of the target subject from the electronic medical chart server of the electronic medical chart system 33 .

Also, for example, the acquisition function 195 acquires an interpretation report from the medical image management server device of the medical image management system 41 . Electronic charts and interpretation reports are examples of medical information. The medical information acquired by the acquisition function 195 is temporarily stored in the memory 13 .

Specifically, using the patient ID of the subject for whom the medical fee is to be calculated as a key, the electronic medical record server of the electronic medical record system 33 is sent from the electronic medical record server for the period for which the medical fee is to be calculated (for example, If the patient is an outpatient, obtain the subject's electronic medical record for the accounting for this time. Similarly, the medical image management server device of the medical image management system 41 acquires the interpretation report of the subject for which the medical fee is to be calculated.

Note that the acquisition function 195 may acquire medical information automatically transmitted from a storage device that stores medical information of a subject whose medical fee is to be calculated. In this case, for example, the electronic medical record server or the like of the electronic medical record system 33 transmits the new medical information to the medical information processing apparatus 1 each time new medical information is input.

Next, the system control function 191 controls the communication interface 11 and receives medical information transmitted from the electronic medical chart server of the electronic medical chart system 33 or the like. Then, the acquisition function 195 acquires the received medical information. The electronic medical record server or the like of the electronic medical record system 33 may transmit untransmitted medical information at predetermined time intervals.

The specifying function 197 specifies medical practices for which medical fees are to be calculated based on the calculation criteria and the medical information acquired by the acquiring function 195 . Specifically, the identifying function 197 first identifies the medical treatment performed on the subject from the electronic medical record or the like acquired by the acquiring function 195 .

For example, the specifying function 197 specifies an examination item (for example, an electrocardiogram, an X-ray CT scan, etc.) entered in the examination findings column of the electronic medical record as a medical treatment performed on the subject. The specifying function 197 then refers to the calculation criteria and specifies the calculation requirements for the medical practice specified by the specifying function 197 . For example, in the case of "coronary CT imaging" in FIG. 3, "requirements from A to E" are specified as calculation requirements.

In addition, the specifying function 197 calculates points for medical fees for the medical treatment performed on the specified subject based on the calculation criteria. Specifically, the specific function 197 refers to the calculation standard and calculates the medical fee points corresponding to the medical treatment performed on the subject as the medical fee points for the medical treatment.

The extracting function 199 extracts information that satisfies the calculation requirements for the medical practice specified by the specifying function 197 from the medical information as evidence. Specifically, the extraction function 199 is specified by the examination date, examination, examination purpose, and specific function 197 from the electronic medical record, the interpretation report, etc. by the text mining method, which is one of the existing natural language processing techniques. Evidence corresponding to the calculation requirements and results, etc. are extracted.

Note that the extraction method is not limited to text mining. For example, techniques such as graph-based data mining may be used. Information including evidence extracted by the extraction function 199 is stored as finding information for each patient ID. The extraction function 199 may also delete from the memory 13 medical information for which evidence extraction has been completed. Thereby, the used capacity of the memory 13 can be saved.

The processing of the extraction function 199 will be described below by taking as an example a case of extracting evidence from descriptions in an electronic medical record. FIG. 4 is a diagram showing an example of an electronic medical chart. A clinician inputs a chief complaint, current illness history, past history, family history, life history, laboratory findings, diagnosis, and the like into the electronic medical record.

A chief complaint is information about a main symptom complained by a target subject (hereinafter also referred to as a target subject). FIG. 4 shows an example in which the clinician inputs "palpitations" and "shortness of breath and chest pain during exercise" as chief complaints based on the contents of the subject's interview.

The history of current illness is a history that indicates the progress of a disease or the like that the target subject is currently suffering from. In Figure 4, the clinician, based on the contents of the interview with the subject, said, ``He has never been pointed out to have a heart disease in a regular medical examination. Appearance.At the beginning of the following month, I felt pressure and pain in my chest, and visited our hospital." is entered as a history of present illness.

The medical history is the history of diseases, injuries, etc. that the subject has suffered so far. FIG. 4 shows an example in which the clinician inputs "XX years old: gastric ulcer" as a medical history based on the contents of the interview with the subject. It should be noted that records of diseases currently being treated may be entered in the past history.

Family history is information that describes the medical and medical history of relatives. FIG. 4 shows an example in which the clinician inputs "father: no family history of gastric cancer or heart disease" as a family history based on the contents of the subject's interview.

The life history is information representing the eating habits and cleaning habits of the target subject. In FIG. 4, the clinician, based on the content interviewed by the subject, "Smoking: 20-30 bottles / day, alcohol: 2-3 bottles / day of beer." ing.

The inspection findings are information representing the results of the performed inspection. FIG. 4 shows an example in which the clinician inputs "electrocardiogram: judged to be acute coronary syndrome" as an examination finding based on the results of the conducted examination.

Diagnosis is information obtained by judging a patient's health condition, disease condition, etc. using various information obtained through interviews, examinations, and the like. FIG. 4 shows an example in which the clinician has entered a diagnosis based on the contents of the medical interview and the results of the performed examination, "The treatment is urgent. .

For example, when extracting evidence corresponding to the medical practice "coronary artery CT imaging" in FIG. Extract the statement "High urgency for treatment" as evidence corresponding to "A acute coronary syndrome (limited to cases where the urgency for treatment is judged to be high based on blood tests, electrocardiograms, etc.)".

The evidence extracted by the extraction function 199 is associated with the patient ID and stored as finding information. At this time, since the extraction destination of the evidence is the electronic medical record, the "medical record" is stored in the storage destination.

Note that if there is no evidence corresponding to the calculation requirements, the specific function 197 mentioned above excludes the relevant medical practice from the calculation targets. Further, the specifying function 197 may cooperate with the display control function 193 and the like, and notify that fact when there is no evidence corresponding to the calculation requirements.

In the example of FIG. 4, the content of the electronic medical record can be freely input by a user such as a clinician. For example, as shown in FIG. It may be entered in a format selected by the user. FIG. 5 is a diagram showing an example of input to an electronic medical chart.

As shown in FIG. 5, when the user selects an examination finding on the creation screen, options such as "echocardiogram" and "electrocardiogram" are displayed on the creation screen by the display control function 193 as examination items. When the user selects "electrocardiogram", the display control function 193 displays options of "no abnormality", "aF", and "acute coronary syndrome" as findings on the creation screen.

Then, when the user selects "acute coronary syndrome", a sentence "electrocardiogram: judged to be acute coronary syndrome" is generated and input as an examination finding. In this way, by enabling the input of electronic medical charts and interpretation reports in a selection format, for example, the extraction function 199 can select options (in the above example, "echocardiogram", "electrocardiogram", "no abnormality", "aF , “acute coronary syndrome”) can be used as keys for extraction processing.

As a result, evidence can be extracted more easily than when the user inputs freely, and the effect of reducing the load on the processing circuit 19 can be expected.

The condition management function 201 manages calculation standards. For example, the condition management function 201 deletes, newly adds, and corrects information registered in the calculation criteria. Specific processing of the condition management function 201 will be described below using FIG. 3 as an example. For example, consider a case where, due to a revision of medical fees, calculation requirements for coronary artery CT imaging are changed, and the underlined content in FIG. 3 is newly added.

In this case, since requirements A to E shown in FIG. 3 were unnecessary before the revision, "coronary artery CT imaging" and "600 points" are associated and registered in the calculation criteria. However, after the revision, 600 points cannot be calculated unless it corresponds to a to e. Therefore, the condition management function 201 makes corrections by adding “requirements from A to E” as calculation requirements according to the user's input.

By the modification processing of the condition management function 201, "coronary CT imaging", "requirements from A to E", and "600 points" are associated and registered as one of the information included in the calculation criteria. In this way, every time the condition management function 201 medical fee is revised, the calculation criteria are revised according to the user's input. Reward points can be calculated.

The order function 203 generates order information including the contents of examinations to be performed. Specifically, the order function 203 receives an input of an examination order (examination details) for a subject from a user (for example, a clinician or the like).

When an examination order is imaging of a subject for image diagnosis, for example, the examination order includes information about examination contents such as an examination site (imaging target, disease name, examination purpose, modality). The examination order may also include information such as the patient ID, patient name, examination ID and examination date of the subject to be examined.

The order function 203 generates order information based on the input contents of the inspection order. Further, when the order information is generated by the order function 203, the extraction function 199 extracts from the medical information information such as the evidence of the medical treatment related to the order information and the background of the medical treatment. good.

The operation of the specifying function 197, the extracting function 199, and the order function 203 associated with the generation of order information will be described below, taking as an example the case of ordering a coronary CT scan after performing an electrocardiogram for the subject identified by P001 in FIG. do.

When extracting evidence or the like when generating order information, when the order information is generated by the order function 203, the extraction function 199 extracts, for example, "Patient ID: P001", "Examination Date: YYYY/MM/DD HH: MM", "Examination: Electrocardiogram", "Examination purpose: Acute coronary syndrome", "Evidence: Acute coronary syndrome with high urgency for treatment", "Storage location: Medical record", and " Result: Close examination required→CT examination” and the like are extracted and stored in the finding information (see FIG. 3).

In other words, the extraction function 199 stores the evidence of the medical treatment related to the order information in the finding information each time the order information is generated. In this case, the extraction function 199 may associate each piece of order information with an identifier such as an identifiable order ID, and store evidence extracted based on the order information corresponding to the identifier in the finding information.

As a result, for example, when inputting a new examination order (generating new order information), the user can refer to the finding information to easily understand the circumstances and evidence that led to the input of the past examination order such as the previous one. Therefore, it is possible to support the input of inspection orders.

The specifying function 197 determines whether or not the medical fee can be calculated based on the calculation criteria and the evidence extracted by the extracting function 199 when the order function 203 receives the input of the examination order from the user. You can judge. Then, the specific function 197 may be configured to make a notification depending on whether or not the medical fee can be calculated. In the following, the configuration for determining whether calculation is possible at the time of inputting an examination order will be described, taking as an example a case where a coronary CT scan is ordered after an electrocardiogram is performed for the subject identified by P001 in FIG.

First, when the order function 203 receives an input of an examination order for coronary artery CT imaging from the user, the specification function 197 specifies the input examination content "coronary artery CT imaging" as a medical practice to be performed on the subject. . In this case, the extraction function 199 extracts evidence based on information such as "examination: electrocardiogram" and "evidence: acute coronary syndrome with high urgency for treatment" described in the electronic medical record of the subject identified by P001, It is extracted as evidence related to the examination content “coronary CT scan”.

For example, based on the extraction result of the extraction function 199, the specific function 197 provides information such as "as a result of performing an electrocardiogram, it was determined that acute coronary syndrome requires urgent treatment" as evidence related to "coronary CT imaging". Confirm that is extracted. Next, the specifying function 197 refers to the calculation criteria and determines whether or not the evidence related to "coronary CT imaging" meets the calculation requirements.

For example, if the evidence related to "coronary CT scan" is "as a result of electrocardiogram, acute coronary syndrome was judged to be urgent treatment", it corresponds to the requirement of "a" shown in Figure 2. Therefore, the specific function 197 determines that it is possible to calculate the medical fee by performing "coronary CT imaging".

Then, when the specific function 197 determines that the medical fee can be calculated based on the examination contents that have been input, the specific function 197 cooperates with the display control function 193 to display the fact that the medical fee can be calculated on the order input screen. is displayed (announced).

In this way, if the calculation is possible, the fact is notified at the time of inputting the inspection order, so that even if the user does not remember the calculation requirements, the next inspection to be performed can be calculated at the time of inputting the inspection order. You can know that you are a target.

If the extracted evidence does not satisfy the requirements for calculating the medical fee, the specifying function 197 may cooperate with the display control function 193 or the like to notify that the medical fee cannot be calculated. Further, when no evidence is extracted, the specifying function 197 may cooperate with the display control function 193 or the like to notify that the medical fee cannot be calculated.

In addition, when the examination order is imaging of a subject for image diagnosis, the order function 203 cooperates with the system control function 191 to control the communication interface 11 and control the patient information of the subject in the order information. It is transmitted to the radiology department information system 35 and the report creation device 37 together with information. In addition, the order function 203 transmits the order information to the clinical laboratory department information system 43 in the same manner as described above when the examination order is for performing a clinical examination on the subject.

Furthermore, the order function 203 transmits the order information to the electronic medical chart server device of the electronic medical chart system 33 in the same manner as described above. In this embodiment, the order information is stored in the electronic medical chart server device, but the order information may be stored in the memory 13 of the medical information processing device 1. FIG.

The accounting function 205 executes accounting processing based on the medical fees specified by the specifying function 197 . The accounting process executed by the medical information processing apparatus 1 will be specifically described below.

First, the accounting function 205 receives an accounting processing start instruction from the user via an accounting processing screen displayed on the display 15 by the display control function 193 . Next, the specifying function 197 specifies the medical treatment performed on the target subject from the target subject's electronic medical record or the like obtained by the obtaining function 195 .

The identification function 197 then references the computational criteria to identify computational requirements corresponding to the intervention performed on the target subject. After that, the extracting function 199 extracts evidence corresponding to the calculation requirement specified by the specifying function 197 from the electronic medical record or the like. The evidence is stored in the memory 13 as finding information.

Next, the specifying function 197 refers to the finding information and checks whether or not evidence corresponding to the calculation requirements for the specified medical practice is stored. Then, if no evidence is stored in the finding information, the specifying function 197 excludes the relevant medical practice from calculation targets. Next, if the specified medical practice is not excluded from the calculation target, the specifying function 197 refers to the calculation criteria and specifies the points of the medical fee for the medical practice performed on the target subject.

If there are multiple medical practices performed on the target subject, the specifying function 197 executes the same processing as above for the multiple medical practices, and specifies the medical fee points for each of the multiple medical practices. . The accounting function 205 adds up the medical fee points specified by the specifying function 197 to calculate the total medical fee points.

After calculation of the total medical fee points by the accounting function 205, the display control function 193 displays the medical fee points for each medical treatment and the total medical fee points in tabular form on the accounting processing screen. FIG. 6 is a diagram showing an example of display of the calculation result of the medical fee. In the example of FIG. 6, the display control function 193 displays that the medical fee points for "return visit" are "xx points" and that the medical fee points for "coronary artery CT imaging" are "600 points".

When the accounting function 205 receives an instruction to execute accounting processing from the user, the accounting function 205 calculates the amount to be billed to the target subject (hereinafter also referred to as billing amount) based on the calculated total medical fee points, and performs the accounting processing. Execute. The amount billed is calculated based on the age of the subject, the type of health insurance that the subject subscribes to, and the like.

The output function 207 associates the medical fee points corresponding to the medical practice identified by the identification function 197 with the evidence extracted by the extraction function 199 and outputs them. Specifically, the output function 207 outputs the evidence corresponding to the calculation requirements stored in the finding information, the medical fee points for each medical treatment shown in FIG. 6, and the total medical fee points. Generate remuneration statements.

Then, the output function 207 stores the generated medical fee statement in the memory 13 or the like. In this case, storing in the memory 13 or the like is an example of output. Further, the output function 207 may output the generated medical fee statement to a printer or the like connected to the medical information processing apparatus 1 via the communication network 31 .

In this way, the output function 207 generates a medical fee statement associated with evidence showing that the calculation requirements are met, so that the person in charge of accounting such as medical affairs can obtain evidence from electronic medical charts and interpretation reports. no longer need to look for Therefore, it is possible to efficiently prepare medical fee statements and perform accounting processing.

Next, the overall processing flow of the medical information processing system S according to this embodiment will be described with reference to FIG. FIG. 7 is a schematic diagram of an example of overall processing of the medical information processing system S. As shown in FIG. FIG. 7 shows the overall flow of processing when image examination is performed by the medical image diagnostic apparatus 39, divided into "medical office work", "clinician", and "radiology department".

First, the clinician interviews the target subject. The electronic medical record terminal device of the electronic medical record system 33 accepts the input of inquiry contents from the clinician (step S1). The received contents are stored in the electronic medical record server device as an electronic medical record.

The electronic medical chart stored in the electronic medical chart server device is acquired by the acquisition function 195 of the medical information processing apparatus 1 using the patient ID of the target subject as a key. If there is information related to the evidence of calculation requirements for medical treatment, such as suspected disease names, in the input inquiry contents, the information is extracted by the extraction function 199 and stored in the finding information in the memory 13 .

Next, the clinician orders an image examination by the medical image diagnostic device 39 based on the contents of the inquiry. The order function 203 of the medical information processing apparatus 1 receives an order input from the clinician (step S2). The order function 203 generates order information based on the examination order input by the clinician and the finding information of the target subject. The order function 203 transmits the generated order information to the radiology department information system 35 .

The radiology department information system 35 receives the order information, and based on the order information, specifies the medical image diagnostic apparatus 39 and the diagnostic region to be used for the ordered image examination. The specified medical image diagnostic apparatus 39 performs imaging of the diagnostic region of the target subject according to instructions from the radiological technologist of the radiology department (step S3). The captured medical image is transmitted to the medical image management system 41 and stored in the medical image management system 41 .

The radiologist interprets the medical images stored in the medical image management system 41 . The report creation device 37 creates an interpretation report representing the result of interpretation according to the input of the interpretation doctor (step S4). The interpretation report is transmitted to the medical image management system 41 and stored in the medical image management system 41 .

The interpretation report stored in the medical image management system 41 is acquired by the acquisition function 195 of the medical information processing apparatus 1 using the patient ID of the target subject as a key. If the interpretation report contains information related to evidence of calculation requirements for medical treatment such as suspected disease names, the information is extracted by the extraction function 199 and stored in the finding information in the memory 13 .

The clinician uses the medical information processing apparatus 1 to check the interpretation report created by the interpretation doctor, and performs diagnosis and treatment. The electronic medical chart terminal device accepts the input of the contents of the diagnosis/treatment (step S5). The input contents are stored in the electronic medical chart server device as additional information of the electronic medical chart.

The additional information of the electronic medical chart stored in the electronic medical chart server device is acquired by the acquisition function 195 of the medical information processing apparatus 1 using the patient ID of the target subject as a key. If the input diagnosis includes information related to evidence of calculation requirements for medical treatment, such as suspected disease names, the information is extracted by the extraction function 199 and stored in the finding information in the memory 13 .

When the clinician determines that the next examination is necessary as a result of the diagnosis, the clinician orders an image examination by the medical image diagnostic apparatus 39 . The order function 203 receives order input from the clinician (step S2). At this time, the generated order information includes the finding information related to the order, so that the user can understand the circumstances leading to the current examination order by checking the order information.

On the other hand, the medical affairs office performs accounting for the medical treatment performed. The accounting function 205 of the medical information processing apparatus 1 executes accounting processing in accordance with instructions from medical office work (step S6). At this time, the output function 207 generates and outputs a medical fee statement associated with the evidence corresponding to the calculation requirements.

Next, processing executed by the medical information processing apparatus 1 will be described. First, extraction processing executed by the medical information processing apparatus 1 will be described. FIG. 8 is a flowchart showing an example of extraction processing executed by the medical information processing apparatus 1. As shown in FIG.

First, the acquisition function 195 acquires medical information such as an electronic medical chart including evidence for calculating a medical fee and an interpretation report, using the patient ID of the target subject as a key (step S11).

Next, the specifying function 197 specifies the medical treatment performed on the target subject based on the electronic medical chart, interpretation report, etc. (step S12). For example, when an electrocardiogram is entered as an examination finding in the electronic medical record, the specifying function 197 specifies the electrocardiogram as the medical treatment performed on the target subject. Next, the specifying function 197 refers to the calculation criteria and specifies calculation requirements for the medical treatment performed on the target subject (step S13).

Next, the extracting function 199 extracts evidence corresponding to the calculation requirements specified by the specifying function 197 from the electronic medical charts, interpretation reports, etc. acquired by the acquiring function 195 (step S14). Specifically, the extracting function 199 extracts examination dates, examinations, examination purposes, evidence corresponding to calculation requirements specified by the specifying function 197, and examination results from electronic medical charts, interpretation reports, and the like.

Next, the extraction function 199 stores information including the extracted evidence in the finding information stored in the memory 13 (step S15). Thereafter, order processing (A) by the order function 203 or accounting processing (B) by the accounting function 205 is executed. Also, order processing and accounting processing may be performed in parallel.

Next, order processing executed by the medical information processing apparatus 1 will be described. FIG. 9 is a flowchart showing an example of order processing executed by the medical information processing apparatus 1. As shown in FIG.

When performing order processing, after storing the finding information, an input of an examination order is accepted from a user such as a clinician (step S31). Input of an examination order is accepted via an order input screen displayed on the display 15 by the display control function 193 .

The order function 203 then references the computational criteria to identify the computational requirements of the intervention entered in the examination order. Next, the order function 203 confirms the finding information and confirms whether or not the identified calculation requirements are satisfied (step S32). At this time, the order function 203 determines that the calculation requirements are satisfied if evidence corresponding to the calculation requirements is stored, and determines that the calculation requirements are not satisfied if the evidence is not stored.

If the calculation requirements are not satisfied (step S32: No), the process proceeds to step S34. On the other hand, if the calculation requirements are satisfied (step S32: Yes), the display control function 193 performs control to display a message to the effect that calculation is possible on the order input screen (step S33). Next, the order function 203 receives input from the user confirming the inspection order (step S34).

Next, the order function 203 generates order information based on the information input in the examination order and the finding information of the target subject (step S35). Specifically, the order function 203 generates order information including information entered in the examination order, patient ID, examination date, examination, examination purpose, evidence, and examination results, if there is associated finding information.

Then, the order function 203 cooperates with the system control function 191 to control the communication interface 11 so that the generated order information is sent to the radiology department information system 35 or the clinical examination along with the patient information of the subject in the order information. It is transmitted to the departmental information system 43, and this processing ends (step S36).

Next, accounting processing executed by the medical information processing apparatus 1 will be described. FIG. 10 is a flowchart showing an example of accounting processing executed by the medical information processing apparatus 1. As shown in FIG.

When performing accounting processing, after storing the finding information, the accounting function 205 receives an instruction to start accounting processing from a user such as a medical office worker (step S51). An instruction to start accounting processing is accepted via an accounting processing screen displayed on the display 15 by the display control function 193 .

Next, the accounting function 205 calculates the total medical fee points based on the medical treatment performed on the target subject (step S52). Specifically, the specifying function 197 specifies the medical treatment performed on the target subject. The identification function 197 then references the calculation criteria to identify the intervention performed on the target subject and the corresponding calculation requirements.

Next, the identification function 197 confirms the finding information of the target subject, and confirms whether evidence corresponding to the identified calculation requirement is stored. The specifying function 197 excludes medical practices for which evidence corresponding to the specified calculation requirements is not stored in the finding information from the calculation targets.

The specifying function 197 refers to the calculation criteria, and specifies the points of the medical fee corresponding to the medical practice performed on the target subject that is not excluded from the calculation targets. The accounting function 205 adds up the medical fee points specified by the specifying function 197 to calculate the total medical fee points.

Next, the display control function 193 performs control to display the details of the total medical fee points calculated by the accounting function 205 on the accounting processing screen (step S53). Specifically, the display control function 193 displays the medical fee points for each medical treatment performed on the target subject and the total medical fee points in tabular form on the accounting processing screen.

Next, the accounting function 205 receives an instruction to execute accounting processing from the user and executes accounting processing (step S54). Specifically, the billing amount is calculated from the total medical fee points calculated based on information such as the age of the subject and the type of health insurance.

Next, the output function 207 generates a medical fee statement (step S55). Specifically, based on the total medical fee points calculated by the accounting function 205, the output function 207 generates a medical fee statement representing the medical fee points for each medical practice performed and the total medical fee points.

Next, the output function 207 refers to the finding information and confirms whether or not evidence corresponding to the calculation requirements of the medical practice performed on the target subject has been extracted (step S56). If no evidence has been extracted (step S56: No), this process ends.

On the other hand, if evidence has been extracted (step S56: Yes), the output function 207 outputs the evidence corresponding to the calculation requirement in association with the generated medical fee statement, and ends this process (step S57). .

The specifying function 197 of the medical information processing apparatus 1 according to the embodiment described above determines the medical fee based on the calculation standard that defines the requirements for calculating the medical fee related to the medical practice and the contents of the electronic medical record, the interpretation report, etc. Identify the medical practices that are subject to the calculation of Also, the extraction function 199 extracts information that satisfies the calculation requirements for the medical practice specified by the specification function 197 as evidence from an electronic medical chart, an interpretation report, or the like. The output function 207 associates the medical fee points corresponding to the medical practice identified by the identification function 197 with the evidence extracted by the extraction function 199 and outputs them.

As a result, it is possible to output the medical fee statement associated with the evidence. no longer need to look for In other words, according to the medical information processing apparatus 1 according to the embodiment, it is possible to efficiently create a detailed statement of medical fees. In addition, medical reimbursement statements are automatically associated with evidence, making it easy to prove that appropriate calculations have been made.

In addition, when the extraction function 199 fails to extract evidence corresponding to the addition requirement for the specified medical practice performed on the target subject, the specifying function 197 selects the medical practice as the subject of calculation. Exclude from

As a result, points for medical treatment fees will not be calculated for medical practices for which there is no evidence corresponding to the calculation requirements. can. In addition, in the above case, the same effect can be expected by notifying that the calculation is impossible because the evidence corresponding to the additional requirements of the medical practice could not be extracted.

In addition, the order function 203 generates order information including details of examinations to be performed on the subject. At this time, the extracting function 199 extracts evidence related to the examination content indicated in the order information when the order information is generated. Based on the calculation criteria and the extraction result, the specifying function 197 determines whether or not the medical fee can be calculated by performing the medical treatment related to the order information. As a result, even if the user does not remember the calculation criteria, the user can know whether the medical fee can be calculated when the order information is generated.

In addition, the condition management function 201 performs at least one of adding new information, deleting information included in the calculation standard, and correcting information included in the calculation standard for the calculation standard. As a result, for example, even when the medical fee is revised, it is possible to calculate the medical fee points according to the content after the revision.

It should be noted that the above-described embodiment can be appropriately modified and implemented by changing a part of the configuration or function of each device of the medical information processing system S. So, below, the modification which concerns on embodiment mentioned above is demonstrated as another embodiment. In the following description, points different from the above-described embodiment will be mainly described, and detailed description of points common to the contents already described will be omitted. Further, the modifications described below may be implemented individually or in combination as appropriate.

(Modification)
In the above-described embodiment, the medical information processing apparatus 1 has the display control function 193, the acquisition function 195, the specification function 197, the extraction function 199, the condition management function 201, the order function 203, the accounting function 205, and the output function 207. explained. However, other devices constituting the medical information processing system S may have some or all of these functions.

For example, the processing executed by the extraction function 199 may be executed by the electronic medical chart system 33 (electronic medical chart server device, electronic medical chart terminal device). In this case, for example, the electronic medical chart server device extracts information including evidence by a technique such as text mining for newly input information each time a new input is made to the electronic medical chart. The electronic medical chart server device then transmits only the extracted information to the medical information processing device 1 .

The medical information processing apparatus 1 stores the information including the received evidence in the finding information stored in the memory 13 . In this case, the acquisition function 195 of the medical information processing apparatus 1 becomes unnecessary. In other words, the load on the processing circuit 19 of the medical information processing apparatus 1 can be reduced.

Further, for example, the electronic chart system 33 may execute the processing executed by the order function 203 . In this case, the electronic chart server device receives the finding information from the medical information processing device 1 . Next, the electronic medical record terminal device receives input of an examination order from the user. Then, the electronic medical record terminal device generates examination order information based on the findings information and the input contents of the examination order.

The electronic medical chart server device stores the examination order information generated by the electronic medical chart terminal device in association with the electronic medical chart of the subject for the examination order. The electronic chart server device also transmits the order information to the radiology department information system 35 or the clinical examination department information system 43 together with the patient information of the subject in the order information.

In this case, the electronic medical record system 33 that performs order processing can manage order information, so processing such as receiving order information generated by another device is not necessary, and acceptance of order input and order processing is possible. Order-related processing such as transmission of information and storage of order information can be executed smoothly.

According to the embodiment and modifications described above, it is possible to efficiently create a detailed statement of medical fees.

While several embodiments of the invention have been described, these embodiments have been presented 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, and modifications 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.

1 Medical Information Processing Device 3 Hospital Information System 11 Communication Interface 13 Memory 15 Display 17 Input Interface 19 Processing Circuit 31 Communication Network 33 Electronic Medical Record System 35 Radiology Department Information System 37 Report Creation Device 39 Medical Image Diagnosis Device 41 Medical Image Management System 43 Clinical Inspection department information system 45 Other department system 191 System control function 193 Display control function 195 Acquisition function 197 Specific function 199 Extraction function 201 Condition management function 203 Order function 205 Accounting function 207 Output function S Medical information processing system

Claims (9)

an acquisition unit that acquires medical information including at least information about medical treatment performed on a subject;
an identifying unit that identifies a medical practice for which the medical fee is to be calculated based on calculation standards that define requirements for calculating the medical fee for the medical practice and the medical information acquired by the acquiring unit;
an extraction unit that extracts from the medical information, as evidence, information that satisfies the calculation requirements for the medical treatment specified by the specifying unit;
an output unit that associates and outputs the medical fee points corresponding to the medical treatment specified by the specifying unit and the evidence extracted by the extracting unit;
A medical information processing apparatus comprising: Further comprising a calculation unit for calculating points of the medical fee for the medical treatment identified by the identification unit based on the calculation criteria,
The output unit outputs the points of the medical fee calculated by the calculation unit,
The medical information processing apparatus according to claim 1. When the extracting unit cannot extract the evidence for the medical practice specified by the identifying unit, the calculation unit excludes the medical practice from the calculation target.
The medical information processing apparatus according to claim 2. The calculation unit notifies when the extraction unit cannot extract the evidence for the medical practice specified by the specification unit,
The medical information processing apparatus according to claim 2. an accounting unit that performs accounting processing based on the medical fee points calculated by the calculation unit;
The medical information processing apparatus according to any one of claims 2 to 4. further comprising a generating unit that generates order information containing test content to be performed on the subject;
The extraction unit extracts evidence related to the test content indicated in the order information when the order information is generated by the generation unit.
The medical information processing apparatus according to any one of claims 2 to 5. The generation unit receives an input of the inspection content when generating the order information,
The calculation unit notifies when the extraction unit fails to extract the evidence for the medical treatment related to the input examination content.
The medical information processing apparatus according to claim 6. The calculation unit determines whether the medical fee can be calculated by performing the medical treatment on the subject, based on the calculation criteria and the evidence extracted by the extraction unit. , if the medical fee can be calculated, notify the user to that effect;
The medical information processing apparatus according to claim 6. Further comprising a management unit that performs at least one of adding new information, deleting information included in the calculation standard, and correcting information included in the calculation standard for the calculation standard,
The medical information processing apparatus according to any one of claims 1 to 8.

Images