Medical information processing device

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

Technical Field

[0001] This embodiment relates to a medical information processing apparatus.

Background Art

[0002] In medical institutions such as hospitals, when calculating medical fees, in order to prove that the calculated value is appropriate, it is required to attach evidence indicating that the calculation conditions are met. Conventionally, this attachment of evidence has been performed by a person in charge of medical affairs or the like searching for evidence from the records in the medical chart and manually inputting it when creating a medical fee statement (also referred to as a receipt) for accounting processing or the like.

[0003] However, the work of searching for evidence from the records in the medical chart and manually inputting it places a heavy burden on the person in charge. For this reason, a technology that can more efficiently create a medical fee statement has been demanded.

Prior Art Documents

Patent Documents

[0004]

Patent Document 1

Summary of the Invention

Problems to be Solved by the Invention

[0005] The problem to be solved by the present invention is to efficiently create a medical fee statement.

Means for Solving the Problems

[0006] The medical information processing apparatus according to the present embodiment includes an acquisition unit, a specification unit, an extraction unit, and an output unit. The acquisition unit acquires medical information including at least information regarding a medical treatment performed on a subject. The specification unit specifies a medical treatment that is a calculation target of medical treatment fees based on a calculation standard defining the calculation requirements of medical treatment fees related to the medical treatment and the medical information acquired by the acquisition unit. The extraction unit extracts, as evidence, information that satisfies the calculation requirements of the medical treatment specified by the specification unit from the medical information. The output unit outputs, in association with each other, the points of medical treatment fees corresponding to the medical treatment specified by the specification unit and the evidence extracted by the extraction unit.

Brief Description of the Drawings

[0007]

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Mode for Carrying Out the Invention

[0008] Hereinafter, embodiments of a medical information processing apparatus will be described in detail with reference to the drawings. In the following embodiments, parts denoted by the same reference numerals perform the same operations, and duplicate 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.

[0009] The overall configuration of the medical information processing apparatus according to the embodiment will be described. FIG. 1 is a diagram showing an example of the configuration of a medical information processing system S according to the embodiment. The medical information processing system S includes a medical information processing apparatus 1 and a hospital information system (HIS: Hospital Information System) 3. The medical information processing apparatus 1 is connected to the hospital information system 3 via a communication network 31.

[0010] In this embodiment, the medical information processing apparatus 1 is not included in the hospital information system 3, but the medical information processing apparatus 1 may be included in the hospital information system 3. Hereinafter, first, the hospital information system 3 will be described, and then the medical information processing apparatus 1 will be described.

[0011] The hospital information system 3 includes an electronic medical record system 33, a radiology department information system 35, a report creation device 37, a medical image diagnostic device 39, a medical image management system 41, a clinical laboratory department information system 43, and other department systems 45.

[0012] The electronic medical record system 33, the radiology department information system 35, the report creation device 37, the medical image diagnostic device 39, the medical image management system 41, the clinical laboratory department information system 43, and the other department systems 45 are connected to each other via a communication network 31, either wired or wireless.

[0013] The electronic medical record system 33 is an information system that manages electronic medical records for recording medical treatment details. The electronic medical record system 33 includes an electronic medical record server device and an electronic medical record terminal device. The electronic medical record server device is a computer device that executes processes related to the management of electronic medical records.

[0014] The electronic medical record server device is composed of one to multiple computer devices depending on the scale of the system. The electronic medical record terminal device is used by doctors, nurses, etc. who input and refer to electronic medical records, and one to multiple devices are provided depending on the scale of the system. The electronic medical record server device and the electronic medical record terminal device are connected to the communication network 31.

[0015] The electronic medical record server device receives information regarding inspection orders (hereinafter referred to as order information) from the medical information processing device 1. The order information will be described later. The inspection results for all the inspections described in the order information are recorded in the electronic medical record of the subject identified by the patient ID included in the order information.

[0016] When the inspection result is recorded in the electronic medical record, the clinician who issued the inspection order makes a diagnosis based on the inspection result and enters the diagnosis result in the electronic medical record of the subject. The diagnosis result includes information such as the disease name (diagnosis names such as suspected disease name, confirmed disease name, etc.), stage, severity of the disease stage, etc. The stage, severity of the disease, etc. are defined by a pre-determined definition document for each stage and severity of the disease.

[0017] The electronic medical record terminal device inputs, for example, the diagnosis result based on various inspections on the subject according to the instructions of the clinician. The diagnosis result is stored in the electronic medical record server device. Also, the electronic medical record terminal device inputs the result of medical treatment (hereinafter referred to as the medical treatment result) executed based on the diagnosis result according to the instructions of the clinician.

[0018] The treatment results are stored in the electronic medical record server device. The treatment results are, for example, the presence or absence of surgery, the resection area of the surgical target site (e.g., total resection, partial preservation), the feasibility of surgery after laparotomy, the presence or absence of radiation therapy, a series of treatment events along the time series, etc.

[0019] Note that the electronic medical record server device may store information such as referral letters from other medical facilities. Also, the electronic medical record server device may store the content described in the referral letter as one of the information included in the electronic medical record.

[0020] The Radiology Information System (RIS) 35 is an information system that manages information in the radiology department within 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 processes related to the management of information in the radiology department.

[0021] The radiology department information server device is composed of one to multiple computer devices depending on the scale of the system. The radiology department information terminal device is used by radiology department technicians, etc., and one to multiple devices are provided depending on the scale of the system. The radiology department information server device and the radiology department information terminal device are connected to the communication network 31.

[0022] As an example of its operation, the radiology department information server device receives order information from the medical information processing device 1 and acquires information such as that of the medical image diagnostic device 39 from the order information. The radiology department information server device transmits the order information to the medical image diagnostic device 39 specified by the order information.

[0023] Note that when the order information is transmitted to the medical image diagnostic device 39, the radiology department information server device may add information such as the patient ID and examination date to DICOM (Digital Imaging and Communications in Medicine) tags, etc.

[0024] The report creation device 37 is a device for a radiologist to create a medical image reading report. The report creation device 37 is realized, for example, by a PC (Personal Computer) terminal in the medical image management system 41.

[0025] 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 the reception of the order information and patient information, the report creation device 37 creates a draft of the reading report in which predetermined information such as patient information, examination information, and requester information, which are the targets of the reading report, is written.

[0026] The report creation device 37 acquires the medical images required for creating the reading report from the medical image management system 41. Also, when the creation of the reading report is instructed, the report creation device 37 displays a report creation screen for the draft of the reading report in which predetermined information is written. On the report creation screen, a "confirmation" button indicating that the content of the reading report has been determined is displayed.

[0027] The report creation device 37 creates a reading report based on the findings information and the like input by the radiologist to the report creation screen. The content input to the reading report may be selected by the user from a plurality of items displayed on the report creation screen. The reading report includes medical images used for diagnosis (hereinafter referred to as key images) and the radiologist's findings (including suspected disease names, etc.) for the key images.

[0028] The key images are accompanied by a patient ID, an examination ID, and an image ID based on the order information. Note that the key images may be associated with the reading report using a technique such as a hyperlink. Also, marks and annotations may be superimposed on the key images to explain the findings.

[0029] When the radiologist determines the content displayed on the report creation screen, the radiologist instructs the finalization of the radiology report by operating a "Finalize" button or the like. At this time, the report creation device 37 stores the created radiology report in, for example, the medical image management server device in the medical image management system 41.

[0030] In addition, when instructed by the radiologist to finalize the radiology report, the report creation device 37 transmits the created radiology report to the medical information processing device 1. Also, the report creation device 37 transmits the created radiology report to the electronic medical record system 33 in response to a request from the examining doctor.

[0031] The medical image diagnostic device 39 is a device that acquires medical images such as an X-ray diagnostic device, an X-ray CT (Computed Tomography) device, and a magnetic resonance imaging device. Note that a plurality of medical image diagnostic devices 39 may be connected via the communication network 31.

[0032] The medical image diagnostic device 39 executes imaging on the subject in response to an operation in which imaging is started by a technician or the like based on an examination order from the radiology department information system 35. By executing the imaging, the medical image diagnostic device 39 collects data indicating the state of the internal tissues of the subject. Next, the medical image diagnostic device 39 generates a medical image based on the data. The medical image diagnostic device 39 transmits the generated medical image to the medical image management system 41 together with the order information.

[0033] The 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 the reconstructed image data but also the data before reconstruction (raw data).

[0034] 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 processes related to the management of medical images. The medical image management server device is composed of one to multiple computer devices depending on the scale of the system. The medical image management server device is connected to the communication network 31.

[0035] When the medical image management server device receives a medical image and order information from the medical image diagnostic device 39, it associates and stores the medical image and the order information. In addition, the medical image management server device stores and appropriately manages the reading report created by the report creation device 37.

[0036] The clinical laboratory department information system (LIS: Laboratory Information System) 43 is an information system that manages information in the clinical laboratory department within a hospital. The clinical laboratory department information system 43 includes a clinical laboratory department information server device, clinical laboratory department information terminal devices, and inspection equipment. In the clinical laboratory department information system 43, specimen tests and physiological function tests are performed by clinical laboratory technicians based on the order information transmitted from the electronic medical record system 33. Note that the specimen tests may be entrusted to an external inspection institution such as a hygiene inspection office.

[0037] The clinical laboratory department information server device is a computer device that executes processes related to the management of information in clinical laboratory tests. The clinical laboratory department information server device is composed of one to multiple computer devices depending on the scale of the system. The clinical laboratory department information terminal devices are used by inspection technicians and the like in the clinical laboratory department, and one to multiple devices are provided depending on the scale of the system. The clinical laboratory department information server device and the clinical laboratory department information terminal devices are connected to the communication network 31.

[0038] The inspection equipment is for performing specimen inspections where specimens such as blood and urine obtained from patients are analyzed by clinical laboratory technicians, and physiological function inspections for measuring patients' electroencephalograms, electrocardiograms, etc. Note that specimen inspections include, for example, pathological inspections, blood and biochemical inspections, general inspections of urine, feces, etc., immunoserological inspections, microbiological inspections, inspections related to blood transfusions and organ transplants, etc. Physiological function inspections include, for example, electroencephalogram inspections, respiratory function inspections, cardiac system inspections, fundus photography inspections, etc.

[0039] Multiple inspection devices are installed according to the types of specimen inspections and physiological function inspections. Note that at least a part of the specimen inspections may be performed by external inspection institutions. At this time, the clinical laboratory department information server device receives and stores the inspection results related to the specimen inspections from the external inspection institutions. In addition, the clinical laboratory department information server device transmits the inspection results to the electronic medical record system 33.

[0040] Other department systems 45 include, for example, the operating department system, the rehabilitation department system, and the dialysis department system, etc. Similar to the above-mentioned radiology department information system 35 and clinical laboratory department information system 43, in other department systems 45 as well, operation implementation reports, rehabilitation implementation reports, etc. are created according to the orders issued by doctors on the electronic medical record terminal devices. Other department systems 45 transmit the created operation implementation reports, rehabilitation implementation reports, etc. to the electronic medical record system 33.

[0041] The medical information processing device 1 is connected to the hospital information system 3 via the communication interface 11 and the communication network 31. Note that the medical information processing device 1 may be incorporated into the hospital information system 3. In addition, the medical information processing device 1 may be used as a report creation device 37, etc.

[0042] 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). 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).

[0043] The communication interface 11 performs data communication with the hospital information system 3. The communication standard between the communication interface 11 and the hospital information system 3 may be any standard, for example, HL7 (Health Level 7), DICOM, or both of them, etc.

[0044] 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 memory device that stores various information. The memory 13 stores the control program according to this embodiment.

[0045] In addition, the memory 13 stores calculation criteria. The calculation criteria are used for calculating medical fees. The calculation criteria are, for example, information associating medical acts, calculation requirements, and points of medical fees. Medical acts are, for example, medical interviews, examinations, issuing prescriptions, and treatments, etc.

[0046] The calculation requirements are, for example, conditions that need to be satisfied for calculating medical fees such as "when a specific disease is suspected as a result of performing a specific examination". Note that depending on the type of medical act, the calculation requirements may be satisfied only by performing the medical act. Note that the calculation criteria are determined based on, for example, the medical fee calculation requirements announced by the Ministry of Health, Labour and Welfare. In this embodiment, the calculation criteria are stored in the memory 13, but the calculation criteria may be stored in a storage device such as an external server device.

[0047] Hereinafter, taking coronary CT angiography as an example, the calculation of medical fees will be explained. Figure 2 is a diagram showing the calculation requirements for coronary CT angiography. As shown in Figure 2, when coronary CT angiography is performed, a calculation of 600 points is recognized in the cases from A to O.

[0048] In this case, "coronary CT angiography", "calculation requirements from A to O", and "600 points" are associated with each other and registered as one of the information included in the calculation criteria. Thus, it is possible to determine whether the calculation of medical fee points is possible based on the medical act performed on the subject and the determination result of whether the calculation requirements are met.

[0049] Also, for example, the memory 13 stores finding information including evidence (hereinafter referred to as "evidence") for point determination in the calculation of medical fees. For example, the finding information stores, for each patient ID, the examination date, examination item, examination purpose, evidence, location of evidence description, and results, etc., in association with each other. The finding information stores information extracted from medical information such as an electronic medical record. Note that the finding information is used when attaching evidence to a medical fee statement.

[0050] Figure 3 is a diagram showing an example of the finding information. In this example, the finding information stores the patient ID, examination date, examination, examination purpose, evidence (symptoms), storage location, and examination results in association with each other.

[0051] The examination date is information representing the date and time when the examination was performed. The examination is information representing the examination item that was performed. For example, the examination is an image examination using a medical imaging device 39, a specimen examination, a physiological function examination, etc. The examination purpose is information representing the purpose for which the examination was performed. For example, the examination purpose is the name of the disease suspected (suspected disease name) based on the consultation content, examination results, etc.

[0052] Evidence is information that serves as evidence or a basis for calculating medical fees. For example, evidence includes findings derived from examination results. The storage location represents the storage place of the medical information in which the evidence is described. For example, the storage location may represent the type of medical information such as an electronic medical record, a radiology report, etc., or may be the address where the corresponding medical information is actually stored. The result is information representing the conclusion (diagnosis result, etc.) of the examination performed.

[0053] For example, in the first column of Figure 3, the subject identified by the patient ID "P001" was suspected of having "acute coronary syndrome", so first an "electrocardiogram" was performed, and the finding (symptom) "high treatment urgency for acute coronary syndrome" was entered into the "electronic medical record", indicating that it was diagnosed as "require further examination → CT examination (require further examination, and then perform a CT examination next)".

[0054] Then, in the second column, in response to the result of the "electrocardiogram", "coronary CT angiography" was performed as a further examination of "acute coronary syndrome", and the finding (symptom) "structural abnormality present" was entered into the "radiology report", indicating that it was diagnosed as "abnormality found, require surgery". Thus, the finding information stores information that serves as evidence for calculating medical fees, as well as information related to the evidence.

[0055] Note that the memory 13 may also be a drive device that reads and writes various information between portable storage media such as CDs (Compact Discs), DVDs (Digital Versatile Discs), flash memories, etc., and semiconductor memory elements such as RAMs (Random Access Memories), etc., in addition to HDDs, SSDs, etc.

[0056] The display 15 displays various information. For example, the display 15 outputs a GUI (Graphical User Interface) etc. for receiving various operations from the user.

[0057] As the display 15, for example, a liquid crystal display (LCD), a cathode ray tube (CRT) display, an organic electro-luminescence display (OELD), a plasma display, or any other arbitrary display can be used.

[0058] Also, the display 15 may be a desktop type, or may be configured as a tablet terminal or the like capable of wireless communication with the main body of the medical information processing device 1.

[0059] The input interface 17 receives various input operations from the user, converts the received input operations into electrical signals, and outputs them to the processing circuit 19. For example, the input interface 17 receives a selection instruction, various conditions, etc. from the user. As the input interface 17, for example, a mouse, a keyboard, a trackball, a switch, a button, a joystick, a touch pad, a touch panel display, etc. can be used as appropriate.

[0060] Note that in the present embodiment, the input interface 17 is not limited to those provided with physical operation components such as a mouse, a keyboard, a trackball, a switch, a button, a joystick, a touch pad, and a touch panel display.

[0061] For example, a processing circuit for an electrical signal that receives an electrical signal corresponding to an input operation from an external input device provided separately from the device and outputs this electrical signal to the processing circuit 19 is also included in the examples of the input interface 17. Also, the input interface 17 may be configured as a tablet terminal or the like capable of wireless communication with the main body of the medical information processing device 1.

[0062] The processing circuit 19 controls the operation of the entire medical information processing device 1 in response to the electrical signal of the input operation output from the input interface 17. For example, as hardware resources, the processing circuit 19 includes processors such as a CPU (Central Processing Unit), an MPU (Micro Processing Unit), and a GPU (Graphics Processing Unit), and memories such as a ROM (Read Only Memory) and a RAM.

[0063] Further, the processing circuit 19 may be implemented by an application specific integrated circuit (ASIC), a field programmable gate array (FPGA), other complex programmable logic devices (CPLDs), simple programmable logic devices (SPLDs), or the like.

[0064] In 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, the processing circuit 19 stores each function in the memory 13 in the form of a program executable by a computer.

[0065] The processing circuit 19 executes 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 by a processor that executes the program developed in the memory.

[0066] That is, the processing circuit 19 corresponds to a processor that realizes the functions corresponding to each program by reading and executing a program from the memory 13. In other words, the processing circuit 19 in the state of having read each program has the functions corresponding to the read program.

[0067] Note that each of the functions of the system control function 191, 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 is not limited to being realized by a single processing circuit.

[0068] For example, a processing circuit may be configured by combining a plurality of independent processors, and each processor executes a program, so that each of the functions of the system control function 191, 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 may be realized.

[0069] Note that the acquisition function 195 is an example of an acquisition unit. The specification function 197 is an example of a specification unit and a calculation unit. The extraction function 199 is an example of an extraction unit. The condition management function 201 is an example of a management unit. The order function 203 is an example of a generation unit. The accounting function 205 is an example of an accounting unit. The output function 207 is an example of an output unit.

[0070] The system control function 191 controls each function of the processing circuit 19 based on an input operation received from a user via the input interface 17. Specifically, the system control function 191 reads a control program stored in the memory 13 and expands it onto the memory in the processing circuit 19, and controls each part of the medical information processing apparatus 1 according to the expanded control program.

[0071] The display control function 193 performs control to display various information on the display 15. Information displayed by the display control function 193 will be described later.

[0072] The acquisition function 195 acquires medical information including at least information on medical treatment performed on a subject and medical treatment information related to the content of the medical treatment. For example, the acquisition function 195 acquires the electronic medical record of the subject from the electronic medical record server of the electronic medical record system 33.

[0073] Also, for example, the acquisition function 195 acquires a reading report from the medical image management server device of the medical image management system 41. The electronic medical record and the reading report are examples of medical information. The medical information acquired by the acquisition function 195 is temporarily stored in the memory 13.

[0074] Specifically, using the patient ID of the subject for which medical treatment fees are to be calculated as a key, the electronic medical record of the subject for the period for which medical treatment fees are to be calculated (for example, if the subject for which medical treatment fees are to be calculated is an outpatient, for the current accounting period) is acquired from the electronic medical record server of the electronic medical record system 33. Similarly, a reading report of the subject for which medical treatment fees are to be calculated is acquired from the medical image management server device of the medical image management system 41.

[0075] Note that the acquisition function 195 may acquire medical information automatically transmitted from a storage device that stores medical information of the subject for which medical treatment fees are to be calculated. In this case, for example, the electronic medical record server of the electronic medical record system 33 etc. transmits the new medical information to the medical information processing device 1 each time new medical information is input.

[0076] Next, the system control function 191 controls the communication interface 11 and receives the medical information transmitted from the electronic medical record server of the electronic medical record system 33 etc. Then, the acquisition function 195 acquires the received medical information. Note that the electronic medical record server of the electronic medical record system 33 etc. may transmit the untransmitted medical information at predetermined time intervals.

[0077] The specific function 197 identifies the medical procedures subject to calculation of medical fees based on the calculation criteria and the medical information obtained by the acquisition function 195. Specifically, the specific function 197 first identifies the medical procedures performed on the subject from the electronic medical record etc. obtained by the acquisition function 195.

[0078] For example, the specific function 197 identifies the examination items (e.g., electrocardiogram, X-ray CT imaging, etc.) entered in the examination findings column of the electronic medical record as the medical procedures performed on the subject. Next, the specific function 197 refers to the calculation criteria and identifies the calculation requirements for the medical procedures identified by the specific function 197. For example, in the case of "coronary artery CT imaging" in Figure 3, the "requirements from A to O" are identified as the calculation requirements.

[0079] Also, the specific function 197 calculates the points for medical fees for the medical procedures performed on the identified subject based on the calculation criteria. Specifically, the specific function 197 refers to the calculation criteria and calculates the points for medical fees corresponding to the medical procedures performed on the subject as the points for medical fees for the said medical procedure.

[0080] The extraction function 199 extracts, as evidence, information that satisfies the calculation requirements for the medical procedures identified by the specific function 197 from the medical information. Specifically, the extraction function 199 extracts the examination date, examination, examination purpose, evidence corresponding to the calculation requirements identified by the specific function 197, and results, etc. from the electronic medical record and imaging report, etc. by means of text mining, which is one of the existing natural language processing techniques.

[0081] Note that the extraction method is not limited to text mining. For example, methods such as graph-based data mining may be used. The information including the evidence extracted by the extraction function 199 is stored as finding information for each patient ID. Also, the extraction function 199 may delete the medical information from which the evidence has been extracted from the memory 13. Thereby, the usage capacity of the memory 13 can be saved.

[0082] Hereinafter, taking the case of extracting evidence from the description of an electronic medical record as an example, the processing of the extraction function 199 will be described. FIG. 4 is a diagram showing an example of an electronic medical record. In the electronic medical record, a clinician inputs the chief complaint, present illness history, past medical history, family history, life history, examination findings, diagnosis, etc.

[0083] The chief complaint is information regarding the main symptoms complained of by the subject to be examined (hereinafter also referred to as the target subject). In FIG. 4, an example is shown in which a clinician inputs "palpitation" and "short of breath and chest pain during exercise" as the chief complaint based on the content heard from the subject during the interview.

[0084] The present illness history is a history representing the course of diseases, etc. currently suffered by the target subject. In FIG. 4, an example is shown in which a clinician inputs "There has been no indication of heart disease in previous regular health check-ups, etc. Since around the end of the ○th month, shortness of breath has appeared during exercise. In the early part of the following ○th month, a feeling of oppression and pain in the chest occurred, and the subject visited this hospital." as the present illness history based on the content heard from the subject during the interview.

[0085] The past medical history is a history of diseases, injuries, etc. that the target subject has suffered so far. In FIG. 4, an example is shown in which a clinician inputs "×× years old: gastric ulcer" as the past medical history based on the content heard from the subject during the interview. Note that records of currently treated diseases may be input into the past medical history.

[0086] The family history is information representing the diseases and past medical history of relatives during treatment. In FIG. 4, an example is shown in which a clinician inputs "Father: gastric cancer, no family history of heart disease" as the family history based on the content heard from the subject during the interview.

[0087] The life history is information representing the eating habits and brushing habits of the target subject. In FIG. 4, an example is shown in which a clinician inputs "Smoking: 20 - 30 cigarettes per day, Alcohol: 2 - 3 beers per day." as the life history based on the content heard from the subject during the interview.

[0088] The examination findings are information representing the results of the examinations performed. In FIG. 4, an example is shown in which a clinician inputs "Electrocardiogram: Determined to be acute coronary syndrome" as the examination findings based on the results of the examinations performed.

[0089] A diagnosis is information obtained by using various information such as medical history taking and examinations to determine the patient's health condition, disease condition, etc. In FIG. 4, an example is shown in which a clinician inputs "Since the treatment urgency is high, a detailed examination is required. Coronary artery CT imaging is scheduled to be performed." as the diagnosis based on the content of the medical history taking and the results of the examinations performed.

[0090] When the extraction function 199 extracts evidence corresponding to the medical practice "coronary artery CT imaging" in FIG. 3, for example, using a method such as text mining, the descriptions "acute coronary syndrome" in the "examination findings" and "high treatment urgency" in the "diagnosis" are extracted as evidence corresponding to "I. Acute coronary syndrome (only when it is determined that the treatment urgency is high by blood tests, electrocardiogram tests, etc.)."

[0091] The evidence extracted by the extraction function 199 is associated with the patient ID and stored as findings information. At this time, since the extraction destination of the evidence is the electronic medical record, "medical record" is stored as the storage destination.

[0092] In addition, when there is no evidence corresponding to the calculation requirements, the above-mentioned specific function 197 excludes the medical practice from the calculation target. Further, the specific function 197 may cooperate with the display control function 193, etc., and notify that there is no evidence corresponding to the calculation requirements when there is no such evidence.

[0093] In the example of FIG. 4, the content of the electronic medical record can be freely input by a user such as a clinician. However, for example, as shown in FIG. 5, it may be input in a form in which the user selects from a plurality of items displayed on the creation screen. FIG. 5 is a diagram showing an example of input to the electronic medical record.

[0094] As shown in Fig. 5, on the creation screen, when the user selects an examination finding, 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", options such as "No abnormality", "aF", and "Acute coronary syndrome" are displayed on the creation screen by the display control function 193 as findings.

[0095] Then, when the user selects "Acute coronary syndrome", the sentence "Electrocardiogram: Judged as acute coronary syndrome" is generated and input as an examination finding. In this way, by enabling the input of the electronic medical record and the radiology report in a selection format, for example, the extraction function 199 can perform an extraction process using the words (or sentences) of the options (in the above example, "Echocardiogram", "Electrocardiogram", "No abnormality", "aF", "Acute coronary syndrome") as keys.

[0096] This makes it possible to easily extract evidence compared to the case where the user inputs freely, and it is expected to reduce the burden on the processing circuit 19.

[0097] The condition management function 201 manages the calculation criteria. For example, the condition management function 201 deletes, newly adds, modifies, etc. the information registered in the calculation criteria. Hereinafter, the specific processing of the condition management function 201 will be described using Fig. 3 as an example. For example, consider the case where due to the revision of the medical fee, the calculation requirements for coronary CT imaging are changed and the underlined content in Fig. 3 is newly added.

[0098] In this case, before the revision, since the requirements from A to O shown in Fig. 3 were unnecessary, "Coronary CT imaging" and "600 points" were registered in the calculation criteria in association with each other. However, after the revision, 600 points cannot be calculated unless it corresponds to A to O. Therefore, the condition management function 201 makes a modification to add "Requirements from A to O" as a calculation requirement according to the user's input.

[0099] Through the correction process of the condition management function 201, "coronary CT imaging", "requirements from A to O", and "600 points" are associated with each other and registered as one of the information included in the calculation criteria. In this way, every time the medical fee for the condition management function 201 is revised, by modifying the calculation criteria according to the user's input, even when the medical fee is revised, it is possible to calculate the medical fee points according to the revised content.

[0100] The order function 203 generates order information including the examination content to be performed. Specifically, the order function 203 receives an input of an examination order (examination content) for a subject from a user (for example, a clinician, etc.).

[0101] When the examination order is an imaging of a subject related to image diagnosis, for example, the examination order includes information on the examination content such as the examination site (imaging target, disease name, examination purpose, modality), etc. Also, the examination order may include information such as the patient ID, patient name, examination ID, and examination date of the subject who will undergo the examination.

[0102] The order function 203 generates order information based on the input content of the examination order. Also, the extraction function 199 may extract information such as the evidence of the medical treatment behavior related to the order information and the background of the occurrence of the medical treatment behavior when the order information is generated by the order function 203 from the medical information.

[0103] Hereinafter, taking the case of ordering coronary CT imaging after performing an electrocardiogram for the subject identified by P001 in FIG. 3 as an example, the operations of the specific function 197, the extraction function 199, and the order function 203 associated with the generation of the order information will be described.

[0104] When extracting evidence or the like at the time of generating order information, when the order information is generated by the order function 203, the extraction function 199 extracts, for example, from the electronic medical record of the subject identified by P001, "Patient ID: P001", "Examination Date: YYYY / MM / DD HH:MM", "Examination: Electrocardiogram", "Purpose of Examination: Acute Coronary Syndrome", "Evidence: High treatment urgency in acute coronary syndrome", "Storage Location: Medical Record", and "Result: Re-examination required → CT examination", etc., and stores them in the findings information (see Figure 3).

[0105] That is, every time order information is generated, the extraction function 199 stores evidence or the like of the medical treatment related to the order information in the findings information. In this case, the extraction function 199 may be associated with an identifier such as an order ID that can identify each order information, and store the evidence or the like extracted based on the order information corresponding to the identifier in the findings information.

[0106] Thereby, for example, when a new examination order is input (generation of new order information), the user can easily confirm the process and evidence that led to the input of past examination orders such as the previous one by referring to the findings information, so that input support for the examination order can be provided.

[0107] Note that the specific function 197 may determine whether it is possible to calculate the medical fee based on the calculation criteria and the evidence or the like extracted by the extraction function 199 at the stage when the order function 203 receives the input of the examination order from the user. And the specific function 197 may be configured to give a notification according to whether it is possible to calculate the medical fee. Hereinafter, a configuration for determining whether it is calculable at the time of input of the examination order will be described by taking as an example the case of ordering a coronary CT angiography after an electrocardiogram for the subject identified by P001 in Figure 3.

[0108] First, when the order function 203 receives an input of an examination order for coronary CT imaging from a user, the identification function 197 identifies the input examination content "coronary CT imaging" as a medical act to be performed on the subject. In this case, the extraction function 199 extracts evidence based on information such as "Examination: Electrocardiogram" and "Evidence: High treatment urgency in acute coronary syndrome" described in the electronic medical record of the subject identified by P001 as evidence related to the examination content "coronary CT imaging".

[0109] For example, based on the extraction result of the extraction function 199, the identification function 197 confirms that information such as "As a result of performing an electrocardiogram, it was determined that the treatment urgency is high in acute coronary syndrome" has been extracted as evidence related to "coronary CT imaging". Next, the identification function 197 refers to the calculation criteria and determines whether the evidence related to "coronary CT imaging" meets the calculation requirements.

[0110] For example, when the evidence related to "coronary CT imaging" is "As a result of performing an electrocardiogram, it was determined that the treatment urgency is high in acute coronary syndrome", since it meets the requirement "a" shown in Figure 2, the identification function 197 determines that it is possible to calculate the medical fee for performing "coronary CT imaging".

[0111] Then, when the identification function 197 determines that it is possible to calculate the medical fee for the input examination content, it collaborates with the display control function 193 and displays (notifies) on the order input screen that it is possible to calculate the medical fee.

[0112] In this way, when the calculation is possible, by notifying the user at the time of inputting the examination order, even if the user is not aware of the calculation requirements, the user can know at the time of inputting the examination order that the next examination to be performed is subject to calculation.

[0113] In addition, if the extracted evidence does not meet the calculation requirements of medical fees, the specific function 197 may cooperate with the display control function 193 or the like to notify that the medical fees cannot be calculated. Also, if no evidence is extracted, the specific function 197 may cooperate with the display control function 193 or the like to notify that the medical fees cannot be calculated.

[0114] Further, when the order function 203 is for imaging of a subject related to an examination order, the order information, in cooperation with the system control function 191, controls the communication interface 11 and transmits the order information, together with the patient information of the subject in the order information, to the radiation department information system 35 and the report creation device 37. Also, when the examination order is for performing a clinical examination on a subject, the order function 203 transmits the order information to the clinical examination department information system 43 in the same manner as above.

[0115] Furthermore, the order function 203 transmits the order information to the electronic medical record server device of the electronic medical record system 33 in the same manner as above. In this embodiment, the order information is stored in the electronic medical record server device, but the order information may be stored in the memory 13 of the medical information processing apparatus 1.

[0116] The accounting function 205 executes accounting processing based on the medical fees specified by the specific function 197. Hereinafter, the accounting processing executed by the medical information processing apparatus 1 will be specifically described.

[0117] First, the accounting function 205 receives an accounting processing start instruction from the user via the accounting processing screen displayed on the display 15 by the display control function 193. Next, the specific function 197 specifies the medical acts performed on the target subject from the electronic medical record or the like of the target subject acquired by the acquisition function 195.

[0118] Next, the specific function 197 refers to the calculation criteria to specify the calculation requirements corresponding to the medical treatment performed on the subject to be examined. Subsequently, the extraction function 199 extracts evidence corresponding to the calculation requirements specified by the specific function 197 from the electronic medical record or the like. The evidence is stored in the memory 13 as finding information.

[0119] Next, the specific function 197 refers to the finding information to check whether evidence corresponding to the calculation requirements of the specified medical treatment is stored. And when no evidence is stored in the finding information, the specific function 197 excludes the medical treatment from the calculation target. Next, when the specified medical treatment is not excluded from the calculation target, the specific function 197 refers to the calculation criteria to specify the points of the medical treatment fee for the medical treatment performed on the subject to be examined.

[0120] When there are multiple medical treatments performed on the subject to be examined, the specific function 197 executes the same processing as above for the multiple medical treatments, and specifies the points of the medical treatment fee for each of the multiple medical treatments. The accounting function 205 totals the points of the medical treatment fee specified by the specific function 197 to calculate the total medical treatment fee points.

[0121] Also, after the accounting function 205 calculates the total medical treatment fee points, the display control function 193 displays the medical treatment fee points for each medical treatment and the total medical treatment fee points in a table format on the accounting processing screen. FIG. 6 is a diagram showing an example of the display of the calculation result of the medical treatment fee. In the example of FIG. 6, the display control function 193 displays that the medical treatment fee points for "follow-up consultation" are "×× points" and the medical treatment fee points for "coronary CT imaging" are "600 points".

[0122] Then, when the accounting function 205 receives an instruction to execute the accounting process from the user, it calculates the amount to be billed to the subject to be examined (hereinafter also referred to as the billing amount) based on the calculated total medical treatment fee points, and executes the accounting process. The billing amount is calculated based on the age of the subject to be examined, the type of health insurance subscribed, etc.

[0123] The output function 207 outputs by associating the points of the medical treatment fee corresponding to the medical treatment act specified by the specific function 197 with the evidence extracted by the extraction function 199. Specifically, the output function 207 generates a medical treatment fee statement that associates the evidence corresponding to the calculation requirements stored in the finding information, the medical treatment fee points for each medical treatment act as shown in FIG. 6, and the total medical treatment fee points.

[0124] Then, the output function 207 stores the generated medical treatment 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. Also, the output function 207 may output the generated medical treatment fee statement to a printer or the like connected via the communication network 31 with the medical information processing device 1.

[0125] In this way, by the output function 207 generating a medical treatment fee statement associated with evidence indicating that the calculation requirements are met, the person in charge of accounting for medical affairs, etc. no longer needs to search for evidence from the electronic medical record or the radiology report. Therefore, the creation of the medical treatment fee statement and the accounting process can be performed efficiently.

[0126] Next, the overall processing flow of the medical information processing system S according to this embodiment will be described with reference to FIG. 7. FIG. 7 is an overview diagram of an example of the overall processing of the medical information processing system S. In FIG. 7, the case where an image examination is performed by the medical image diagnostic apparatus 39 is shown by dividing the overall processing flow into "medical affairs", "clinician", and "radiology department".

[0127] First, the clinician conducts an interview of the target subject. The electronic medical record terminal device of the electronic medical record system 33 receives the input of the interview content from the clinician (step S1). The received content is stored in the electronic medical record server device as an electronic medical record.

[0128] The electronic medical record stored in the electronic medical record server device is acquired by the acquisition function 195 of the medical information processing device 1 using the patient ID of the target subject as a key. If there is information related to the evidence of the calculation requirements of medical treatment acts such as the suspected disease name in the input interview content, the information is extracted by the extraction function 199 and stored in the findings information of the memory 13.

[0129] Next, the clinician orders an imaging examination using the medical imaging diagnostic device 39 based on the interview content. The order function 203 of the medical information processing device 1 receives the input of the order from the clinician (step S2). The order function 203 generates order information based on the input content of the examination order by the clinician and the findings information of the target subject. The order function 203 transmits the generated order information to the radiology department information system 35.

[0130] The radiology department information system 35 receives the order information and identifies the medical imaging diagnostic device 39 and the diagnostic site to be used for the ordered imaging examination based on the order information. The identified medical imaging diagnostic device 39 performs imaging of the diagnostic site of the target subject according to the instructions of a radiology technician in the radiology department, etc. (step S3). The taken medical images are transmitted to the medical image management system 41 and stored in the medical image management system 41.

[0131] The radiologist reads the medical images stored in the medical image management system 41. The report creation device 37 creates a reading report representing the reading result according to the input of the radiologist (step S4). The reading report is transmitted to the medical image management system 41 and stored in the medical image management system 41.

[0132] The reading report stored in the medical image management system 41 is acquired by the acquisition function 195 of the medical information processing device 1 using the patient ID of the target subject as a key. If there is information related to the evidence of the calculation requirements of medical treatment acts such as the suspected disease name in the reading report, the information is extracted by the extraction function 199 and stored in the findings information of the memory 13.

[0133] The clinician uses the medical information processing device 1 to check the radiology report created by the radiologist and perform diagnosis and treatment. The electronic medical record terminal device receives the input of the content of the diagnosis and treatment (step S5). The input content is stored in the electronic medical record server device as additional information of the electronic medical record.

[0134] The additional information of the electronic medical record stored in the electronic medical record server device is obtained by the acquisition function 195 of the medical information processing device 1 using the patient ID of the target subject as a key. If there is information related to the evidence of the calculation requirements of the medical treatment behavior such as the suspected disease name in the input diagnosis content, the information is extracted by the extraction function 199 and stored in the findings information of the memory 13.

[0135] 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 diagnosis device 39. The order function 203 receives the input of the order from the clinician (step S2). At this time, since the generated order information includes the findings information related to the order, the user can grasp the process that led to the current examination order by checking the order information.

[0136] On the other hand, the medical affairs performs accounting processing for the implemented medical treatment behavior. The accounting function 205 of the medical information processing device 1 executes the accounting processing according to the instructions of the medical affairs (step S6). At this time, the output function 207 generates and outputs a medical treatment fee statement associated with the evidence corresponding to the calculation requirements.

[0137] Next, the processing executed by the medical information processing device 1 will be described. First, the extraction processing executed by the medical information processing device 1 will be described. FIG. 8 is a flowchart showing an example of the extraction processing executed by the medical information processing device 1.

[0138] First, the acquisition function 195 acquires medical information such as an electronic medical record and a radiology report including evidence for calculating medical treatment fees using the patient ID of the target subject as a key (step S11).

[0139] Next, the specific function 197 identifies the medical treatment performed on the target subject based on an electronic medical record, a radiology report, etc. (step S12). For example, when an electrocardiogram is input in the examination findings of the electronic medical record, the specific function 197 identifies the electrocardiogram as the medical treatment performed on the target subject. Next, the specific function 197 refers to the calculation criteria and identifies the calculation requirements for the medical treatment performed on the target subject (step S13).

[0140] Next, the extraction function 199 extracts evidence corresponding to the calculation requirements specified by the specific function 197 from the electronic medical record, radiology report, etc. acquired by the acquisition function 195 (step S14). Specifically, the extraction function 199 extracts the examination date, examination, examination purpose, evidence corresponding to the calculation requirements specified by the specific function 197, and examination results from the electronic medical record, radiology report, etc.

[0141] Next, the extraction function 199 stores the information including the extracted evidence in the finding information stored in the memory 13 (step S15). After this, order processing (A) by the order function 203 or accounting processing (B) by the accounting function 205 is executed. Also, the order processing and the accounting processing may be executed in parallel.

[0142] Next, the order processing executed by the medical information processing apparatus 1 will be described. FIG. 9 is a flowchart showing an example of the order processing executed by the medical information processing apparatus 1.

[0143] When performing order processing, after storing the finding information, an input of an examination order is received from a user such as a clinician (step S31). The reception of the input of the examination order is performed via an order input screen displayed on the display 15 by the display control function 193.

[0144] Next, the order function 203 refers to the calculation criteria and identifies the calculation requirements for the medical procedures input in the examination order. Next, the order function 203 checks the finding information to check whether the identified calculation requirements are met (step S32). At this time, if evidence corresponding to the calculation requirements is stored, the order function 203 determines that the calculation requirements are met, and if the evidence is not stored, it determines that the calculation requirements are not met.

[0145] If the calculation requirements are not met (step S32: No), the process proceeds to the process of step S34. On the other hand, if the calculation requirements are met (step S32: Yes), the display control function 193 performs control to display a message indicating that calculation is possible on the order input screen (step S33). Next, the order function 203 receives an input for confirming the examination order from the user (step S34).

[0146] 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, when there is relevant finding information, the order function 203 generates order information including the information input in the examination order, patient ID, examination date, examination, examination purpose, evidence, and examination results.

[0147] Then, the order function 203, in cooperation with the system control function 191, controls the communication interface 11, and transmits the generated order information together with the patient information of the subject in the order information to the radiation department information system 35 or the clinical examination department information system 43, and ends this process (step S36).

[0148] Next, the accounting process executed by the medical information processing apparatus 1 will be described. FIG. 10 is a flowchart showing an example of the accounting process executed by the medical information processing apparatus 1.

[0149] When performing accounting processing, after storing the findings information, the accounting function 205 receives an instruction to start accounting processing from a user such as in medical affairs (step S51). The reception of the instruction to start accounting processing is performed via an accounting processing screen displayed on the display 15 by the display control function 193.

[0150] Next, the accounting function 205 calculates the total medical treatment remuneration points based on the medical treatment acts performed on the target subject (step S52). Specifically, the identification function 197 identifies the medical treatment acts performed on the target subject. Next, the identification function 197 refers to the calculation criteria and identifies the calculation requirements corresponding to the medical treatment acts performed on the target subject.

[0151] Next, the identification function 197 checks the findings information of the target subject and checks whether evidence corresponding to the identified calculation requirements is stored. The identification function 197 excludes from the calculation targets the medical treatment acts for which evidence corresponding to the identified calculation requirements is not stored in the findings information.

[0152] The identification function 197 refers to the calculation criteria and identifies the points of the medical treatment remuneration corresponding to the medical treatment acts performed on the target subject that have not been excluded from the calculation targets. The accounting function 205 sums up the points of the medical treatment remuneration identified by the identification function 197 and calculates the total medical treatment remuneration points.

[0153] Next, the display control function 193 performs control to display the details of the total medical treatment remuneration points calculated by the accounting function 205 on the accounting processing screen (step S53). Specifically, the display control function 193 presents the medical treatment remuneration points for each medical treatment act performed on the target subject and the total medical treatment remuneration points in tabular form and displays them on the accounting processing screen.

[0154] Next, the accounting function 205 receives an instruction to execute accounting processing from the user and executes the accounting processing (step S54). Specifically, based on information such as the age of the target subject and the type of health insurance, the claim amount is calculated from the calculated total medical treatment remuneration points.

[0155] Next, the output function 207 generates a medical fee statement (step S55). Specifically, the output function 207 generates a medical fee statement that represents the medical fee points for each medical procedure performed and the total medical fee points based on the total medical fee points calculated by the accounting function 205.

[0156] Next, the output function 207 refers to the finding information and checks whether evidence corresponding to the calculation requirements of the medical procedures performed on the subject examinee has been extracted (step S56). If no evidence has been extracted (step S56: No), this process ends.

[0157] On the other hand, if evidence has been extracted (step S56: Yes), the output function 207 outputs the evidence corresponding to the calculation requirements in association with the generated medical fee statement, and ends this process (step S57).

[0158] The specific function 197 of the medical information processing apparatus 1 according to the embodiment described above specifies the medical procedures subject to medical fee calculation based on the calculation criteria that define the calculation requirements of the medical fees related to the medical procedures and the contents of the electronic medical record, reading report, etc. Further, the extraction function 199 extracts, as evidence, information that satisfies the calculation requirements of the medical procedures specified by the specific function 197 from the electronic medical record, reading report, etc. The output function 207 outputs in association with each other the medical fee points corresponding to the medical procedures specified by the specific function 197 and the evidence extracted by the extraction function 199.

[0159] As a result, since a medical fee statement associated with evidence can be output, when creating a medical fee statement, the person in charge of accounting for medical affairs, etc. does not need to search for evidence descriptions from the electronic medical record, reading report, etc. That is, according to the medical information processing apparatus 1 according to the embodiment, the creation of the medical fee statement can be efficiently performed. Further, since the medical fee statement is automatically associated with evidence, it becomes possible to easily prove that appropriate calculations are being made.

[0160] In addition, for a medical treatment performed on a specified target subject, when the extraction function 199 fails to extract evidence corresponding to the addition requirements of the medical treatment, the specific function 197 excludes the medical treatment from the calculation target.

[0161] As a result, for medical treatments without evidence corresponding to the calculation requirements, the points of medical treatment remuneration will not be calculated, so it is possible to prevent the person in charge of accounting for medical affairs, etc. from performing inappropriate calculations. Also, in the above case, since evidence corresponding to the addition requirements of the medical treatment could not be extracted, a similar effect can be expected by notifying that the calculation is impossible.

[0162] In addition, the order function 203 generates order information including the examination content to be performed on the subject. At this time, the extraction function 199 extracts evidence related to the examination content indicated in the order information when generating the order information. Then, the specific function 197 determines whether the calculation of medical treatment remuneration is possible by performing the medical treatment related to the order information based on the calculation criteria and the extraction result. Thereby, even when the user does not remember the calculation criteria, the user can know whether the calculation of medical treatment remuneration is possible when generating the order information.

[0163] In addition, the condition management function 201 performs at least one of new addition of information, deletion of information included in the calculation criteria, and modification of information included in the calculation criteria for the calculation criteria. Thereby, for example, even when the medical treatment remuneration is revised, it becomes possible to calculate the medical treatment remuneration points according to the revised content.

[0164] Note that the above-described embodiment can also be appropriately modified and implemented by changing a part of the configuration or function of each device of the medical information processing system S. Therefore, hereinafter, a modification example according to the above-described embodiment will be described as another embodiment. Hereinafter, the points different from the above-described embodiment will be mainly described, and detailed description of the points common to the already described content will be omitted. Also, the modification examples described below may be implemented individually or in appropriate combination.

[0165] (Modification example) In the above-described embodiment, the medical information processing apparatus 1 has been described in a form having a display control function 193, an acquisition function 195, a specifying function 197, an extraction function 199, a condition management function 201, an order function 203, a billing function 205, and an output function 207. However, other devices constituting the medical information processing system S may have some or all of these functions.

[0166] For example, the process executed by the extraction function 199 may be executed by the electronic medical record system 33 (electronic medical record server device, electronic medical record terminal device). In this case, for example, each time a new input is made to the electronic medical record, the electronic medical record server device performs an extraction process of information including evidence on the newly input information by a method such as text mining. Then, the electronic medical record server device transmits only the extracted information to the medical information processing apparatus 1.

[0167] The medical information processing apparatus 1 stores the received information including evidence in the findings information stored in the memory 13. In this case, the acquisition function 195 of the medical information processing apparatus 1 becomes unnecessary. That is, the burden on the processing circuit 19 of the medical information processing apparatus 1 can be reduced.

[0168] Also, for example, the process executed by the order function 203 may be executed by the electronic medical record system 33. In this case, the electronic medical record server device receives the findings information from the medical information processing apparatus 1. Next, the electronic medical record terminal device receives an 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 content of the examination order.

[0169] The electronic medical record server device stores the examination order information generated by the electronic medical record terminal device in association with the electronic medical record of the subject of the examination order. Also, the electronic medical record server device transmits the order information, together with the patient information of the subject in the order information, to the radiation department information system 35 or the clinical examination department information system 43.

[0170] In this case, since the electronic medical record system 33 that performs order processing can manage order information, processes such as receiving order information generated by other devices become unnecessary, and order-related processes such as acceptance of order input, transmission of order information, and storage of order information can be executed smoothly.

[0171] According to the embodiments and modifications described above, a medical fee statement can be created efficiently.

[0172] Although some embodiments of the present invention have been described, these embodiments are presented as examples 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 changes can be made without departing from the gist of the invention. These embodiments and their modifications are included in the scope and gist of the invention, and are also included in the invention described in the claims and its equivalent scope.

Explanation of Reference Numerals

[0173] 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 imaging diagnostic device 41 Medical image management system 43 Clinical laboratory department information system 45 Other department systems 191 System control function 193 Display control function 195 Acquisition function 197 Identification function 199 Extraction function 201 Condition Management Function 203 Order Function 205 Accounting Function 207 Output Function S Medical Information Processing System

Claims

1. An acquisition unit that acquires medical information including at least information regarding a medical treatment performed on a subject; A specification unit that specifies a medical treatment subject to calculation of the medical treatment fee based on a calculation standard defining calculation requirements for the medical treatment fee and the medical information acquired by the acquisition unit; An extraction unit that extracts, as evidence, information that satisfies the calculation requirements of the medical treatment specified by the specification unit from the medical information; An output unit that outputs by associating the points of the medical treatment fee corresponding to the medical treatment specified by the specification unit and the evidence extracted by the extraction unit; A medical information processing device comprising the above.

2. The medical information processing device further comprises a calculation unit that calculates the points of the medical treatment fee for the medical treatment specified by the specification unit based on the calculation standard, The output unit outputs the points of the medical treatment fee calculated by the calculation unit. The medical information processing device according to Claim 1.

3. When the extraction unit cannot extract the evidence for the medical treatment specified by the specification unit, the calculation unit excludes the medical treatment from the calculation target. The medical information processing device according to Claim 2.

4. When the extraction unit cannot extract the evidence for the medical treatment specified by the specification unit, the calculation unit gives a notification. The medical information processing device according to Claim 2.

5. The medical information processing device further comprises an accounting unit that executes accounting processing based on the points of the medical treatment fee calculated by the calculation unit. The medical information processing device according to any one of Claims 2 to 4.

6. The medical information processing device further comprises a generation unit that generates order information including the examination content to be performed on the subject, When generating the order information by the generation unit, the extraction unit extracts evidence related to the examination content indicated in the order information. The medical information processing device according to any one of Claims 2 to 5.

7. When generating the order information, the generation unit accepts input of the examination content, When the extraction unit cannot extract the evidence for the medical treatment related to the input examination content, the calculation unit gives a notification. The medical information processing device according to Claim 6.

8. The calculation unit determines whether it is possible to calculate the medical treatment fee by performing the medical treatment on the subject based on the calculation criteria and the evidence extracted by the extraction unit, and when it is possible to calculate the medical treatment fee, notifies the user to that effect. The medical information processing device according to claim 6.

9. The calculation criteria further include a management unit that performs at least one of new addition of information, deletion of information included in the calculation criteria, and correction of information included in the calculation criteria. The medical information processing device according to any one of claims 1 to 8.

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