Electronic medical record server and program

Abstract

To provide an electronic medical chart server and a program for providing a method for utilizing an electronic medical chart useful for a patient.SOLUTION: An electronic medical chart server 1 receives consultation information of patients from user terminals 4 of the patients, registers the consultation information received from the user terminals 4 in an electronic medical chart DB3 of the patients together with date and time information, outputs the consultation information to medical staff terminals 5, receives opinions of medical staffs on the consultation information from the medical staff terminals 5, and adds the opinions to the corresponding consultation information in the electronic medical chart DB3.SELECTED DRAWING: Figure 1

Description

[Technical Field]

[0001] The present invention relates to an electronic medical record server and a program. [Background technology]

[0002] Traditionally, in medical institutions such as hospitals and clinics, doctors, nurses, and other medical professionals record information related to a patient's medical treatment in an electronic medical record. Electronic medical records are generally used by medical professionals to record information about a patient, and medical professionals also record information obtained from the patient and their condition in the electronic medical record. Electronic medical records used in this way must meet three requirements known as the "Three Principles of Electronic Storage": authenticity, readability, and storability. On the other hand, a home medical support system has been disclosed that has a patient portal site with a personal medical record function and records information on the patient's own behavior, such as hospital visits and medication intake, entered from the patient's terminal (see, for example, Patent Document 1). [Prior art documents] [Patent documents]

[0003] [Patent Document 1] Patent Publication No. 2021-026773 Summary of the Invention [Problem to be solved by the invention]

[0004] The technology described in Patent Document 1 aims to improve the service and efficiency of home medical care by registering information on the patient's own behavior. Electronic medical records have the above three requirements. Therefore, in addition to the purposes described in Patent Document 1, electronic medical records can also be used in ways that are beneficial to patients.

[0005] An object of the present invention is to provide an electronic medical record server and a program that provide a method for utilizing electronic medical records that is beneficial to patients. [Means for solving the problem]

[0006] The present invention relates to an electronic medical record server comprising a consultation information receiving means for receiving a patient's consultation information from a patient terminal, a consultation information registering means for registering the consultation information received by the consultation information receiving means in the patient's electronic medical record together with date and time information, a consultation information outputting means for outputting the consultation information to a medical staff terminal, and an opinion adding means for receiving the medical staff's opinion on the consultation information from the medical staff terminal and adding it to the consultation information in the electronic medical record.

[0007] In addition, in the electronic medical record server, the consultation information receiving means may be provided with a patient / medical professional memory unit that receives the consultation information together with patient identification information that identifies the patient, and stores a correspondence between the patient identification information and medical professional identification information that identifies each of the one or more medical professionals, and a notification means that, when the consultation information receiving means receives the consultation information, refers to the patient / medical professional memory unit and notifies the medical professional of the medical professional identification information associated with the patient identification information.

[0008] In addition, the electronic medical record server may be provided with an urgency confirmation means for confirming the urgency of the consultation information received by the consultation information receiving means, and the notification means may notify the medical professional of the medical professional identification information if the urgency confirmed by the urgency confirmation means is high.

[0009] In addition, in the electronic medical record server, the urgency confirmation means may confirm the urgency level output by the learning model by inputting the consultation information received by the consultation information receiving means into a learning model that has learned the combination of the consultation information and the urgency level.

[0010] The electronic medical record server may also be provided with a learning means for learning the learning model using the consultation information registered in the electronic medical record and the opinions of the medical professionals, including the degree of urgency regarding the consultation information.

[0011] In addition, in the electronic medical record server, the consultation information output means outputs the consultation information corresponding to the notification in response to a request from the medical professional notified by the notification means, and if there is an opinion attached to the consultation information, the opinion may also be output.

[0012] In addition, the electronic medical record server may be provided with a text conversion means for acquiring text from the voice data when the consultation information is in the form of at least one of character data, voice data, and image data, and the consultation information registration means may register the text acquired by the text conversion means in the electronic medical record together with the consultation information.

[0013] The electronic medical record server may also include a disclosure output means for outputting the consultation information of the patient registered in the electronic medical record together with the date and time information.

[0014] The present invention also relates to a program for causing a computer to function as the electronic medical record server described above. [Effects of the Invention]

[0015] According to the present invention, it is possible to provide an electronic medical record server and a program that provide a method for utilizing electronic medical records that is beneficial to patients. [Brief explanation of the drawings]

[0016] [Figure 1] 1 is a diagram illustrating the overall configuration of an electronic medical record utilization system according to an embodiment of the present invention. [Figure 2] FIG. 2 is a functional block diagram of an electronic medical record server according to this embodiment. [Figure 3] FIG. 2 is a diagram illustrating an example of a storage unit of an electronic medical record server according to this embodiment. [Figure 4] FIG. 2 is a functional block diagram of a user terminal according to the present embodiment. [Figure 5]10 is a flowchart showing a consultation information registration process of the electronic medical record server according to the present embodiment. [Figure 6] 10A and 10B are diagrams showing examples of the display of a user terminal and examples of registration in an electronic medical record DB according to this embodiment. [Figure 7] 10 is a flowchart showing a query process of an electronic medical record server according to the present embodiment. [Figure 8] 10 is a flowchart showing a consultation information display process of the electronic medical record server according to the present embodiment. [Figure 9] 10 is a flowchart showing disclosure request processing of the electronic medical record server according to the present embodiment. [Figure 10] 10 is a flowchart showing the learning process of the electronic medical record server according to the present embodiment. DETAILED DESCRIPTION OF THE INVENTION

[0017] Hereinafter, embodiments of the present invention will be described with reference to the drawings. However, this is merely an example, and the technical scope of the present invention is not limited to this example. (Embodiment) [Overall configuration of the electronic medical record utilization system 100] FIG. 1 is a diagram showing the overall configuration of an electronic medical record utilization system 100 according to this embodiment. FIG. 2 is a functional block diagram of the electronic medical record server 1 according to this embodiment. FIG. 3 is a diagram showing an example of the storage unit 20 of the electronic medical record server 1 according to this embodiment.

[0018] The electronic medical record utilization system 100 shown in Figure 1 is a system that allows patients to register consultation information in electronic medical records that are primarily used by medical professionals. The electronic medical record utilization system 100 is also a system that allows medical professionals to add their opinions to the consultation information registered by patients and to disclose the consultation information and opinions as necessary. Here, consultation information refers to information that patients want to register in their electronic medical records, and is not limited to consultations with medical professionals. Consultation information also includes various events in a patient's daily life. For example, if a patient experiences domestic violence (DV) and verbal abuse from a relative, information such as when the incident occurred and how the patient felt at the time can be registered as consultation information. Furthermore, information related to custody disputes, such as the percentage of one's daily involvement in child-rearing, can also be appropriately included as consultation information.

[0019] The electronic medical record utilization system 100 comprises an electronic medical record server 1, an electronic medical record DB (database) 3, a user terminal 4 (patient terminal), and a medical staff terminal 5. Data communication is possible between the electronic medical record server 1, the user terminal 4, and the medical staff terminal 5 via a data communication network N. Furthermore, the electronic medical record server 1 and the electronic medical record DB 3 are directly connected. 1 shows one user terminal 4 used by a patient, one medical staff terminal 5 used by a doctor at a medical institution, and one medical staff terminal 5 used by a nurse at a nursing station, but this is just an example. In reality, multiple types of terminals are connected to the electronic medical record server 1 so that they can communicate with each other.

[0020] [Electronic medical record server 1] The electronic medical record server 1 is a server used by each medical institution, etc., and its typical usage is to output a screen for registering medical information in the electronic medical record to the medical staff terminal 5, and to register the medical information received from the medical staff terminal 5 in the electronic medical record DB3. In addition, as a method of using the present invention, the electronic medical record server 1 is a server for registering consultation information received from a user terminal 4 used by a patient in the electronic medical record DB 3 in association with the patient.

[0021] As shown in FIG. 2, the electronic medical record server 1 includes a control unit 10, a storage unit 20, and a data communication IF (interface) 29. The control unit 10 is a CPU (Central Processing Unit) that controls the entire electronic medical record server 1. The control unit 10 appropriately reads and executes the OS (Operating System) and application programs stored in the storage unit 20, thereby cooperating with the above-mentioned hardware and executing various functions. Before describing the control unit 10, the storage unit 20 will be described.

[0022] The storage unit 20 is a storage area such as a hard disk or semiconductor memory element for storing programs, data, etc. required for the control unit 10 to execute various processes. The storage unit 20 stores a program storage unit 21, a patient / medical professional storage unit 22, a medical professional information storage unit 23, and a learning model storage unit 24. The program storage unit 21 is a storage area for storing various application programs, etc. The program storage unit 21 stores a consultation program 21a. The consultation program 21a is a program for executing various functions performed by the control unit 10, which will be described later. The program storage unit 21 also stores programs relating to the registration of medical information in the electronic medical record DB 3, but these are not directly related to the present invention and therefore will not be described here.

[0023] The patient / medical professional storage unit 22 is a storage area that stores the association between patients and medical professionals. 3(A) shows an example of items in the patient / medical professional storage unit 22. The patient / medical professional storage unit 22 stores a patient ID (IDentification) (patient identification information) that identifies a patient and a medical professional ID (medical professional identification information) that identifies a medical professional in association with the patient ID. Here, one patient may be associated with multiple (for example, n) medical professionals. Examples of medical professionals include doctors and nurses.

[0024] The medical professional information storage unit 23 is a storage area that stores information about medical professionals. 3(B) shows an example of items in the medical professional information storage unit 23. The medical professional information storage unit 23 stores the name of a medical professional and the like in association with a medical professional ID. The learning model storage unit 24 is a storage area for storing learning models. The learning model storage unit 24 stores a learning model 24a. The learning model 24a is a model that has learned combinations of consultation information and urgency levels. The data stored in the storage unit 20 is not limited to the above. The storage unit 20 may include, for example, a patient information storage unit that stores information about patients. The storage unit 20 also includes various storage units related to the registration of medical information in the electronic medical record DB3, but the description thereof will be omitted. Furthermore, the items in each storage unit shown in FIG. 3 are merely examples, and other items or items that replace the items may be present.

[0025] Next, the control unit 10 of the electronic medical record server 1 will be described. The control unit 10 includes a consultation information receiving unit 11 (consultation information receiving means), a consultation information registration unit 12 (consultation information registration means), an urgency confirmation unit 13 (urgency confirmation means), a notification unit 14 (notification means), a text conversion unit 15 (text conversion means), a consultation information output unit 16 (consultation information output means), an opinion addition unit 17 (opinion addition means), a disclosure output unit 18 (disclosure output means), and a learning unit 19 (learning means).

[0026] The consultation information receiving unit 11 receives consultation information of a patient from the user terminal 4. The consultation information receiving unit 11 receives the consultation information together with the patient ID. The consultation information registration unit 12 registers the consultation information received by the consultation information reception unit 11 together with date and time information as the patient's electronic medical record in the electronic medical record DB 3. More specifically, the consultation information registration unit 12 assigns, for example, a consultation ID that uniquely identifies the consultation information, associates the consultation information with the patient ID, and registers the consultation information and date and time information in the electronic medical record DB 3.

[0027] The urgency confirmation unit 13 confirms the urgency of the consultation information received by the consultation information receiving unit 11. For example, the urgency confirmation unit 13 can confirm the urgency output by the learning model 24a by inputting the consultation information received by the consultation information receiving unit 11 into the learning model 24a. Alternatively, if the consultation information received by the consultation information receiving unit 11 includes the urgency input by the patient, the urgency confirmation unit 13 may confirm the urgency.

[0028] The notification unit 14 refers to the patient / medical professional storage unit 22 and notifies the medical professional identified by the medical professional ID associated with the patient ID of the consultation information received by the consultation information reception unit 11. The notification unit 14 can notify the medical professional that the consultation information has been received by displaying a pop-up on the electronic medical record screen (not shown) to which the medical professional is logged in, for example. The notification unit 14 may also be configured to notify when the degree of urgency is high. The text conversion unit 15 acquires text from the voice data when the consultation information accepted by the consultation information accepting unit 11 is voice data. The text conversion unit 15 can acquire text using a known tool for converting voice data into text.

[0029] The consultation information output unit 16 outputs the consultation information to the medical professional terminal 5. More specifically, the consultation information output unit 16 can output the consultation information in response to a request corresponding to a notification from a medical professional notified by the notification unit 14, for example. Alternatively, the consultation information output unit 16 may output the consultation information by receiving a selection from a menu screen (not shown) from the medical professional regarding the output of the consultation information. At this time, if there is an opinion added to the consultation information, the consultation information output unit 16 may also output the opinion. In this way, when a medical professional who has confirmed the consultation information adds an opinion, the added opinion can be output to another medical professional who subsequently confirms the same consultation information, thereby making it possible for the medical professional to confirm that the medical professional has already responded to the consultation information. Furthermore, if there is an opinion different from the opinion of the medical professional who has already responded, the other medical professional can also add that opinion.

[0030] The opinion adding unit 17 receives the medical staff's opinion on the consultation information from the medical staff terminal 5 and adds it to the consultation information in the electronic medical record DB 3. In addition, the opinion adding unit 17 adds the text acquired by the text conversion unit 15 to the electronic medical record DB 3 together with the opinion. The disclosure output unit 18 outputs the consultation information of the patient registered in the electronic medical record DB3 together with date and time information. The learning unit 19 learns the learning model 24a using the consultation information registered in the electronic medical record DB3 and the opinions of medical professionals including the degree of urgency of the consultation information.

[0031] The control unit 10 further includes various functional units related to the registration of medical information in the electronic medical record DB 3, but the description thereof will be omitted. Furthermore, electronic medical records must meet the three requirements of "authenticity," "readability," and "storability" as part of the "three principles of electronic storage." For this reason, the electronic medical record server 1 takes various measures, such as measures to prevent intentional or accidental false entry, rewriting, erasure, and confusion by using encryption, electronic signatures, and time stamps, and to obtain access logs for access to the electronic medical record DB3, but detailed explanations will be omitted here.

[0032] The data communication IF 29 is an interface between the data communication network N and the electronic medical record DB 3 . It should be noted that a computer refers to an information processing device equipped with a control unit, a storage device, etc., and the electronic medical record server 1 is an information processing device equipped with a control unit 10, a storage unit 20, etc., and is included in the concept of a computer. Furthermore, the electronic medical record server 1 may not be implemented as a single server device, but may be implemented as a combination of multiple server devices, or may be a cloud server.

[0033] [Electronic Medical Record DB3] The electronic medical record DB3 is a database in which electronic medical records are registered. In Fig. 1, the electronic medical record DB3 is shown as being located outside the electronic medical record server 1, but this is not limited to this. Also, in Fig. 1, it is shown as being directly connected to the electronic medical record server 1, but this does not have to be the case. The electronic medical record DB3 has a large storage area to store a large amount of information. Note that the electronic medical record DB3 does not need to have a single storage area, and may be stored in multiple storage areas distributed using, for example, blockchain technology.

[0034] [User terminal 4] FIG. 4 is a functional block diagram of the user terminal 4 according to this embodiment. The user terminal 4 is, for example, a terminal carried by a patient and used to register consultation information. 1, the user terminal 4 is illustrated as a mobile terminal such as a smartphone or a tablet, but is not limited to this. The user terminal 4 may also be, for example, a personal computer (PC). As shown in FIG. 4, the user terminal 4 includes a control unit 40, a storage unit 45, a touch panel 48, and a data communication IF 49.

[0035] The control unit 40 is a CPU that controls the entire user terminal 4. The control unit 40 appropriately reads and executes the OS and application programs stored in the storage unit 45, thereby cooperating with the above-mentioned hardware and executing various functions. The control unit 40 includes a screen output unit 41, an input receiving unit 42, and a received content transmitting unit 43. The screen output unit 41 outputs a screen for registering consultation information. The input receiving unit 42 receives consultation information via, for example, the touch panel 48. The input receiving unit 42 can receive consultation information in the form of character data. The reception content transmitting unit 43 transmits the consultation information received by the input receiving unit 42 to the electronic medical record server 1.

[0036] The storage unit 45 is a storage area such as a semiconductor memory element for storing programs, data, etc. required for the control unit 40 to execute various processes. The storage unit 45 stores a program storage unit 46. The program storage unit 46 is a storage area that stores various programs. The program storage unit 46 stores a consultation content registration application 46a. The consultation content registration application 46a is an application program for executing the various functions performed by the control unit 40. The consultation content registration application 46a may be pre-stored in the program storage unit 46 of the user terminal 4, or may be downloaded and installed from an external application server (not shown) communicatively connected to the user terminal 4.

[0037] The touch panel 48 functions as an input unit that accepts touch operations by the patient, and also functions as a display unit that is configured with a liquid crystal panel or the like. The data communication IF 49 is an interface with the data communication network N. The user terminal 4 may be equipped with a microphone and a camera and may receive voice data and image data as consultation information.

[0038] [Medical worker terminal 5] The medical staff terminal 5 shown in FIG. 1 is a terminal used by a medical staff member to check consultation information and add their opinions. 1, the medical staff terminal 5 is illustrated as a notebook PC, but is not limited to this. The medical staff terminal 5 may also be a mobile terminal such as a smartphone or tablet. The medical staff terminal 5 may also be an electronic medical record terminal that displays electronic medical records. Although not shown, the medical staff terminal 5 includes a control unit, a memory unit, an input / output unit such as a touch panel (or a display unit such as a display and an input unit such as a keyboard), a data communication IF, and a speaker for outputting audio, etc., as necessary.

[0039] [Processing Description] Next, the processing in the electronic medical record utilization system 100 will be described. First, a process in which a patient registers consultation information using the user terminal 4 will be described. FIG. 5 is a flowchart showing the consultation information registration process of the electronic medical record server 1 according to this embodiment. FIG. 6 is a diagram showing an example of a display on the user terminal 4 and an example of registration in the electronic medical record DB 3 according to this embodiment. First, a patient who wants to register consultation information executes the consultation content registration application 46 a on the user terminal 4 .

[0040] When the consultation content registration application 46a is executed, the control unit 40 (screen output unit 41) of the user terminal 4 outputs, for example, a consultation registration screen 60 shown in FIG. 6(A) on the touch panel 48. The consultation registration screen 60 is a screen for the patient to register consultation information, and includes an input screen 61 and a display screen 65. The input screen 61 includes a text input area 62, a send button 63, and a voice button 64. When the patient inputs the consultation content as text in the text input area 62 and selects the send button 63, the control unit 40 (input receiving unit 42) of the user terminal 4 receives the consultation information. When the patient selects the voice button 64, the control unit 40 (input receiving unit 42) of the user terminal 4 receives the consultation content as voice data. Then, the control unit 40 (received content sending unit 43) of the user terminal 4 transmits the received consultation information to the electronic medical record server 1.

[0041] The control unit 40 of the user terminal 4 also displays the accepted consultation content on a display screen 65. An introductory message 65a is displayed in advance on the display screen 65. Information input by the patient is then displayed as a message 65b. Furthermore, by selecting the message 65b input by the patient, the patient may add an icon 65c indicating the degree of urgency.

[0042] When the patient inputs the consultation details, in step S (hereinafter, “step S” will be simply referred to as “S”) 11 of FIG. 5, the control unit 10 (consultation information receiving unit 11) of the electronic medical record server 1 receives the consultation information from the user terminal 4. In S12, the control unit 10 (consultation information registration unit 12) registers the received consultation information in the electronic medical record DB3. 6(B) shows an example of consultation information registered in the electronic medical record DB 3. At this point, consultation information 71 is registered in the electronic medical record DB 3.

[0043] In S13 of FIG. 5, the control unit 10 (urgency confirmation unit 13) confirms the urgency of the consultation information. The control unit 10 can confirm the urgency output by the learning model 24a by inputting the consultation information into the learning model 24a of the learning model storage unit 24. The control unit 10 can also confirm the urgency registered by the patient. Here, when a degree of urgency is registered by the patient, the control unit 10 may prioritize that degree of urgency, or may confirm the degree of urgency registered by the patient and the higher degree of urgency output by the learning model 24a.

[0044] In S14, the control unit 10 (urgency confirmation unit 13) determines whether the confirmed urgency is "high." If the urgency is "high" (S14: YES), the control unit 10 proceeds to S15. On the other hand, if the urgency is not "high" (S14: NO), the control unit 10 ends this process. In S15, the control unit 10 (notification unit 14) identifies the medical professional corresponding to the patient who registered the consultation information by referring to the patient / medical professional storage unit 22, and notifies the identified medical professional terminal 5. Thereafter, the control unit 10 ends this process. If the confirmed urgency level is not "high," the confirmation may be possible, for example, when a medical worker connects to the electronic medical record server 1 from the medical worker terminal 5.

[0045] Next, a process in which a medical worker uses the medical worker terminal 5 to perform confirmation etc. will be described. FIG. 7 is a flowchart showing the inquiry process of the electronic medical record server 1 according to this embodiment. FIG. 8 is a flowchart showing the consultation information display process of the electronic medical record server 1 according to this embodiment. FIG. 9 is a flowchart showing the disclosure request process of the electronic medical record server 1 according to this embodiment.

[0046] When a medical worker connects to the electronic medical record server 1 from the medical worker terminal 5, the control unit 10 of the electronic medical record server 1 receives a connection request in S31 of FIG. In S32, the control unit 10 transmits a menu screen (not shown) to the medical staff terminal 5. The menu screen is a screen on which, for example, a button for confirming the consultation information and a button for disclosing the information are provided. The control unit 10 may notify the medical staff terminal 5 that the consultation information has been received by displaying a pop-up or the like. The medical staff performs a desired operation on the menu screen or the like, and in S33, the control unit 10 receives the requested content.

[0047] In S34, the control unit 10 determines whether the request is for confirmation of consultation information. If the request is for confirmation of consultation information (S34: YES), the control unit 10 proceeds to S35. On the other hand, if the request is not for confirmation of consultation information (S34: NO), the control unit 10 proceeds to S36. In S35, the control unit 10 performs a consultation information display process.

[0048] Here, the consultation information display process will be described with reference to FIG. In S41 of Fig. 8, the control unit 10 (consultation information output unit 16) extracts consultation information associated with the medical professional from the electronic medical record DB 3. At this time, the control unit 10 may extract notified consultation information from the electronic medical record DB 3. Furthermore, the control unit 10 may extract unprocessed consultation information by the medical professional from the electronic medical record DB 3, regardless of whether or not a notification has been made. In S42, the control unit 10 determines whether the consultation information extracted from the electronic medical record DB3 is voice data. The control unit 10 can determine whether the consultation information is voice data, for example, based on the file format. If the consultation information is voice data (S42: YES), the control unit 10 proceeds to S43. On the other hand, if the consultation information is not voice data (S42: NO), the control unit 10 proceeds to S44.

[0049] In S43, the control unit 10 (text conversion unit 15) converts the voice data into text. In S44, the control unit 10 (consultation information output unit 16) transmits the consultation information to the medical staff terminal 5. Here, if the consultation information is voice data, the control unit 10 may transmit the text converted by the processing of S43 to the medical staff terminal 5 in addition to the voice data. The medical worker at the medical worker terminal 5 who received the consultation information confirms the consultation information. The medical worker can then input their opinion on the confirmed consultation information. The opinion may include, for example, the medical worker's confirmation of the consultation information or an objective view of the consultation information. The opinion may also include information regarding the degree of urgency as determined by the medical worker. The "opinion" input by the medical worker here will have value as the main text of a highly specialized medical record.

[0050] In S45, the control unit 10 (opinion adding unit 17) receives from the medical staff terminal 5 the opinion of the medical staff regarding the consultation information. In S46, the control unit 10 (opinion adding unit 17) adds the received opinion to the corresponding consultation information in the electronic medical record DB 3. For example, as shown in Fig. 6(B), additional information 72 is associated with the consultation information 71 and registered in the electronic medical record DB 3. Thereafter, the control unit 10 ends this process.

[0051] 7, the control unit 10 determines whether the request is for information disclosure. If it is a request for information disclosure (S36: YES), the control unit 10 proceeds to S37. On the other hand, if it is not a request for information disclosure (S36: NO), the control unit 10 performs other processing (not shown) corresponding to the request and ends this processing. In S36, the control unit 10 performs a disclosure request process.

[0052] Here, the disclosure request process will be described with reference to FIG. In S51 of FIG. 9, the control unit 10 receives the patient ID of the patient to whom consultation information is to be disclosed. In S52, the control unit 10 (disclosure output unit 18) extracts, from the electronic medical record DB3, the consultation information associated with the received patient ID and the opinion added to the consultation information. In S53, the control unit 10 (disclosure output unit 18) rearranges the extracted information in chronological order. In S54, the control unit 10 (disclosure output unit 18) outputs the rearranged information to the medical staff terminal 5. After that, the control unit 10 ends this process. In a typical medical record disclosure request, the main text and all related materials (including consultation information in this case) are submitted on paper media. To ensure authenticity, the original may be processed by embedding a non-fungible token (NFT) in the PDF data, for example.

[0053] Next, the learning process of the learning model 24a used to confirm the urgency of consultation information will be described. FIG. 10 is a flowchart showing the learning process of the electronic medical record server 1 according to this embodiment. This process is performed when a predetermined number of pieces of consultation information and their opinions are accumulated in the electronic medical record DB 3. The electronic medical record server 1 may also perform this process periodically thereafter.

[0054] In S71 of FIG. 10, the control unit 10 (learning unit 19) extracts the consultation information and the opinion added to the consultation information from the electronic medical record DB3. In S72, the control unit 10 (learning unit 19) learns the learning model 24a using, as input values, a combination of the extracted consultation information and the opinion including the degree of urgency for the consultation information. In S73, the control unit 10 (learning unit 19) stores the learned learning model 24a in the learning model storage unit 24, or updates the learning model 24a stored in the learning model storage unit 24. Thereafter, the control unit 10 ends this process.

[0055] In this way, by learning the learning model 24a, the degree of urgency for the consultation information can be adjusted to a degree of urgency that matches the opinion of the medical staff.

[0056] As described above, the electronic medical record utilization system 100 of this embodiment has the following advantages. (1) The electronic medical record server 1 accepts the patient's consultation information from the user terminal 4, registers the accepted consultation information together with date and time information in the patient's electronic medical record DB3, outputs the consultation information to the medical staff terminal 5, and accepts the medical staff's opinion on the consultation information from the medical staff terminal 5 and adds it to the consultation information in the electronic medical record DB3. Therefore, whereas up until now, information had been registered by medical professionals in electronic medical records, patients can now proactively register information, making it possible to register information that is beneficial to patients. Moreover, because medical professionals can check the consultation information registered by patients and add their opinions, it is possible to create a system that can guarantee the reliability of the consultation information.

[0057] (2) The electronic medical record server 1 receives consultation information along with a patient ID that identifies the patient, and refers to the patient / medical professional memory unit 22 that stores correspondence between the patient ID and a medical professional ID that identifies each of one or more medical professionals, and notifies the medical professional whose medical professional ID is associated with the patient ID received along with the consultation information. Therefore, the medical staff can know that the patient has registered the consultation information, and therefore the medical staff in charge can check the consultation information of the patient.

[0058] (3) The electronic medical record server 1 checks the urgency of the registered consultation information, and if the confirmed urgency is high, notifies the medical professional with the medical professional ID. Therefore, medical personnel can be notified depending on the degree of urgency.

[0059] (4) The electronic medical record server 1 inputs registered consultation information into the learning model 24a, which has learned the combination of consultation information and degree of urgency, and confirms the degree of urgency output by the learning model 24a. Therefore, the learning model 24a can confirm the urgency of the consultation information.

[0060] (5) The electronic medical record server 1 is configured to train the learning model 24a using the consultation information registered in the electronic medical record DB3 and the opinions of medical professionals, including the degree of urgency of the consultation information. Therefore, the learning model 24a can be trained including the degree of urgency recognized by the medical professional for the consultation information. As a result, the learning model 24a can output the degree of urgency for the consultation information that matches the assessment of the medical professional.

[0061] (6) The electronic medical record server 1 outputs the consultation information corresponding to the notification in response to a request from the notified medical professional, and if there is an opinion attached to the consultation information, the opinion is also output. Therefore, when a medical professional receives consultation information from a patient that is associated with multiple medical professionals, the medical professional can also view the opinions of the other medical professionals.

[0062] (7) The consultation information is in the form of at least one of text data, voice data, and image data, and when the consultation information is in the form of voice data, the electronic medical record server 1 acquires text from the voice data and registers the acquired text together with the consultation information in the electronic medical record DB3. Therefore, medical personnel can conveniently check consultation information registered as voice data as text.

[0063] (8) The electronic medical record server 1 outputs the consultation information of the patient registered in the electronic medical record DB 3 together with the date and time information. Therefore, the patient consultation information registered in the electronic medical record DB3 is exactly what the patient entered, and since there is no mechanism for deleting it later, it can be used as evidence in litigation, for example.

[0064] Although the embodiments of the present invention have been described above, the present invention is not limited to the above-described embodiments. Furthermore, the effects described in the embodiments are merely a list of the most preferable effects resulting from the present invention, and the effects of the present invention are not limited to those described in the embodiments. Note that the above-described embodiments and the modified embodiments described below can be used in appropriate combinations, but detailed description thereof will be omitted.

[0065] (Variations) (1) In the present embodiment, the patient inputs consultation information in a chat format, but this is not limited to this. Any other format may be used as long as the tool allows for easy input of consultation information. Furthermore, in the present embodiment, a system in which an application is launched is described as an example, but this is not limited to this. The system may be constructed in any manner, and may be, for example, a web-based system.

[0066] (2) In the present embodiment, an example has been described in which a learning model that has learned a combination of consultation information and a degree of urgency is used to output a degree of urgency for consultation information, but the present invention is not limited to this. For example, a language model that uses a transformer such as a Generative Pretrained Transformer (GPT) may be used as a generative AI. Furthermore, the learning model may be used to rank the credibility of consultation information or to determine whether the content violates public order and morals. Furthermore, the learning model may be used to identify extreme events that are ethically wrong.

[0067] (3) In the present embodiment, various types of information are stored in the storage unit 20, but this is not limiting. Various types of information may be stored in an external device connected to the electronic medical record server. [Explanation of symbols]

[0068] 1. Electronic medical record server 3 Electronic medical record database 4. User terminal 5 Medical staff terminals 10,40 Control section 11. Consultation Information Reception Department 12 Consultation Information Registration Department 13 Urgency Confirmation Department 14 Notification Department 15 Text conversion section 16 Consultation information output section 17 Comments Section 18 Disclosure output section 19 Learning Department 20,45 Storage section 21a Consultation Program 22 Patient and Medical Professional Memory Unit 23 Medical professional information storage unit 24a Learning Model 41 Screen output section 42 Input reception section 43 Reception Content Transmission Department 46a Consultation content registration app 48 Touch Panel 100 Electronic medical record utilization system N Data communication network

Claims

1. a consultation information receiving means for receiving consultation information of a patient from a patient terminal; a consultation information registration means for registering the consultation information received by the consultation information reception means in the electronic medical record of the patient together with date and time information; a consultation information output means for outputting the consultation information to a medical staff terminal; an opinion adding means for receiving an opinion of a medical professional regarding the consultation information from the medical professional terminal and adding the opinion to the consultation information in the electronic medical record; An electronic medical record server comprising:

2. 2. The electronic medical record server according to claim 1, the consultation information receiving means receives the consultation information together with patient identification information that identifies the patient; a patient / medical professional storage unit that stores the patient identification information and medical professional identification information that identifies each of the one or more medical professionals; a notification means for, when the consultation information receiving means receives the consultation information, referring to the patient / medical professional storage unit, notifying the medical worker of the medical professional identification information associated with the patient identification information; An electronic medical record server comprising:

3. 3. The electronic medical record server according to claim 2, an urgency confirmation means for confirming the urgency of the consultation information received by the consultation information receiving means, The notification means is an electronic medical record server that notifies the medical professional of the medical professional identification information when the degree of urgency confirmed by the urgency confirmation means is high.

4. 4. The electronic medical record server according to claim 3, The urgency confirmation means is an electronic medical record server that inputs the consultation information received by the consultation information receiving means into a learning model that has learned the combination of the consultation information and the urgency, and confirms the urgency output by the learning model.

5. 5. The electronic medical record server according to claim 4, An electronic medical record server comprising a learning means for learning the learning model using the consultation information registered in the electronic medical record and the opinions of the medical professionals including the degree of urgency for the consultation information.

6. 3. The electronic medical record server according to claim 2, The consultation information output means outputs the consultation information corresponding to the notification in response to a request from the medical professional notified by the notification means, and if there is an opinion attached to the consultation information, outputs the opinion as well, an electronic medical record server.

7. 2. The electronic medical record server according to claim 1, The consultation information is at least one of text data, voice data, and image data. a text conversion means for acquiring text from the voice data when the consultation information is voice data; The consultation information registration means registers the text acquired by the text conversion means together with the consultation information in the electronic medical record server.

8. 2. The electronic medical record server according to claim 1, An electronic medical record server comprising a disclosure output means for outputting the consultation information of the patient registered in the electronic medical record together with the date and time information.

9. A program for causing a computer to function as the electronic medical record server according to any one of claims 1 to 8.

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