Medical information processing device, medical information processing system, and program
Patent Information
- Authority / Receiving Office
- JP · JP
- Patent Type
- Applications
- Current Assignee / Owner
- Filing Date
- 2025-02-03
- Publication Date
- 2026-08-14
Smart Images
Figure 2026131258000001_ABST
Abstract
Description
Technical Field
[0001] The embodiments disclosed in this specification and the drawings relate to a medical information processing apparatus, a medical information processing system, and a program.
Background Art
[0002] Conventionally, a doctor may determine a referral hospital (hereinafter referred to as a referral hospital) by relying on his or her past experience or consulting other doctors. In addition, a doctor may also determine a referral hospital by contacting a regional medical cooperation room installed in a hospital, such as consulting a hotline system, to obtain a referral to a referral hospital.
[0003] According to these methods for determining a referral hospital, in order to determine a hospital with a high treatment effect for a patient's disease, it is necessary to collect prior information about the referral hospital. In addition, when there are multiple candidates for the referral hospital, since the selection of the hospital and the reason for the selection need to rely on the experience of the doctor in charge, the selection of the hospital and the reason for the selection may vary depending on the doctor in charge. Furthermore, in order to find the optimal treatment method for a patient, it is necessary to regularly check the treatment results of past patients.
[0004] However, it takes a huge amount of time to collect information on the treatment content of the diseases of each patient in multiple referral hospitals. In addition, since a large number of patient treatment-related information is registered in the electronic medical record and this patient treatment-related information is constantly updated, it also takes a huge amount of time to confirm whether the treatment method is suitable for the disease of the patient in charge. Therefore, in determining a referral hospital, it is desired to be able to easily select a hospital with a high treatment effect.
Prior Art Documents
Patent Documents
[0005]
Patent Document 1
Summary of the Invention
[0006] One of the problems that the embodiments disclosed herein and in the drawings aim to solve is the ability to easily select hospitals with high therapeutic efficacy. However, the problems that the embodiments disclosed herein and in the drawings aim to solve are not limited to the above problem. Problems corresponding to the effects of each configuration shown in the embodiments described later can also be positioned as other problems. [Means for solving the problem]
[0007] The medical information processing device according to the embodiment comprises an acquisition unit, a search unit, and an output unit. The acquisition unit acquires disease information relating to a disease. The search unit searches for treatment outcome information related to the disease information from a treatment outcome database that manages treatment outcome information relating to the treatment outcomes of the disease, based on the disease information acquired by the acquisition unit. The output unit outputs the treatment outcome information based on the search results obtained by the search unit. [Brief explanation of the drawing]
[0008] [Figure 1] This is a diagram illustrating the overview of the medical information processing system according to the first embodiment. [Figure 2] This block diagram shows an example of the configuration of a medical information processing system according to the first embodiment. [Figure 3] This figure shows an example of electronic medical record information stored in the electronic medical record database of the medical information processing system according to the first embodiment. [Figure 4] This figure shows an example of the configuration of a treatment results database in a medical information processing system according to the first embodiment. [Figure 5] This figure shows an example of treatment outcome information stored in the treatment outcome database of the medical information processing system according to the first embodiment. [Figure 6] This block diagram shows an example of the configuration of a medical information processing device according to the first embodiment. [Figure 7]This is a flowchart illustrating the contents of the treatment outcome information registration process performed in the medical information processing device according to the first embodiment. [Figure 8] This figure shows an example of treatment result information acquired by the medical information processing device according to the first embodiment. [Figure 9] This figure shows an example of treatment outcome information generated by the medical information processing device according to the first embodiment. [Figure 10] This figure shows an example of a method for registering treatment result information in a treatment results database according to the first embodiment. [Figure 11] This is a flowchart illustrating the content of the treatment outcome information output process performed in the medical information processing device according to the first embodiment. [Figure 12] This figure shows an example of a search condition setting screen displayed on the display of a terminal device according to the first embodiment. [Figure 13] This is a flowchart illustrating the contents of the search process performed in the first embodiment. [Figure 14] This figure shows an example of treatment outcome information retrieved from the treatment outcome database according to the first embodiment. [Figure 15] This figure shows an example of a treatment outcome information list displayed on the display of the terminal device according to the first embodiment. [Figure 16] This is a flowchart illustrating the content of the treatment outcome information output process performed in the medical information processing device according to Modification Example 1. [Figure 17] This figure shows an example of a search condition setting screen displayed on the terminal device's display according to Modification Example 1. [Figure 18] This figure shows an example of disease information acquired by the medical information processing device according to Modification Example 1. [Figure 19] This is a block diagram showing an example of the configuration of a medical information processing device according to Modification 3. [Figure 20] This figure shows an example of a treatment outcome information list displayed on the terminal device's screen in the modified example 3. [Figure 21]It is a block diagram showing an example of the configuration of a medical information processing system according to the second embodiment. [Figure 22] It is a block diagram showing an example of the configuration of a medical information processing device according to the second embodiment. [Figure 23] It is a flowchart for explaining the content of treatment result information output processing executed in the medical information processing device according to the second embodiment. [Figure 24] It is a diagram showing an example of treatment result information stored in the treatment result database according to the second embodiment. [Figure 25] It is a diagram showing an example of a treatment result information list displayed on the display of the terminal device according to the second embodiment. [Figure 26] It is a diagram showing an example of treatment result information.
Modes for Carrying Out the Invention
[0009] Hereinafter, embodiments of a medical information processing device, a medical information processing system, and a program will be described with reference to the drawings. In the following description, components having substantially the same functions and configurations will be denoted by the same reference numerals, and duplicate descriptions will be made only when necessary.
[0010] 〔Outline of the First Embodiment〕 Figure 1 is a diagram illustrating the outline of a medical information processing system according to the first embodiment. First, as shown in Figure 1, (1) Patient A is referred by Doctor A at his primary care hospital A (hereinafter also referred to as his own hospital as needed) and goes to referral hospital B for treatment. (2) Doctor A at primary care hospital A obtains treatment result information regarding the results of the treatment given to Patient A at referral hospital B. For example, Doctor A obtains the treatment result information from referral hospital B, for example, on a storage medium such as a DVD-R or on paper. (3) After treatment at referral hospital B, Patient A visits primary care hospital A for follow-up. Note that when Patient A visits, Doctor A may obtain the treatment result information by having Patient A directly hand over a storage medium or paper. (4), (5) Doctor A stores the treatment result information generated from the treatment result information given to Patient A in a medical information storage device via a medical information processing device. As a result of (1) to (5), treatment outcome information from referring hospitals such as referring hospital B is stored in the medical information storage device.
[0011] (6) Patient B, who is different from patient A, visits the primary care hospital A for treatment consultation. When selecting a hospital to refer patient B to for treatment of patient B's illness, physician B refers to the treatment outcome information related to patient B's illness information, which is output by the medical information processing device from the treatment outcome information stored in the medical information storage device, and selects a hospital to refer to based on the treatment outcome information. This allows physicians to easily select hospitals with high treatment effectiveness.
[0012] [Detailed description of the first embodiment] Next, an example of the configuration of the medical information processing system according to the first embodiment will be described in detail based on Figure 2. Figure 2 is a diagram showing an example of the configuration of the medical information processing system according to the first embodiment. As shown in Figure 2, the medical information processing system 1 is configured to include a medical information processing device 10, a terminal device 30, and a medical information storage device 50. The medical information processing device 10, the terminal device 30, and the medical information storage device 50 are connected to each other via a network NW so that they can communicate with one another.
[0013] The medical information processing device 10 is a device for outputting treatment outcome information. For example, the medical information processing device 10 acquires disease information, searches for treatment outcome information related to the disease information from the treatment outcome database of the medical information storage device 50, and outputs treatment outcome information based on the search results. The medical information processing device 10 is a computer such as a PC (Personal Computer) or a server device. The medical information processing device 10 may be located in a cloud environment or installed in a medical institution such as a hospital or clinic.
[0014] Disease information refers to information about a patient's illness. This information includes, for example, disease names such as "stomach cancer," "laryngeal cancer," "lung cancer," and "esophageal cancer," as well as disease progression (stage, etc.) and disease characteristic information. If the disease is cancer, disease characteristic information includes information such as the size of the tumor and whether it is circumferential or non-circumferential. Disease information may also include other information besides the disease name, disease progression, and disease characteristic information.
[0015] Treatment outcome information refers to information regarding the treatment outcomes of a disease. This information includes the patient's name, disease name, disease progression, disease characteristics, treatment information, follow-up information, and the name and location of the hospital where the disease was treated and / or followed up. Treatment outcome information may also include other information besides the patient's name, disease name, disease progression, disease characteristics, treatment information, follow-up information, and hospital name. For example, treatment outcome information may include information such as total treatment costs, number of treatments, whether the disease was cured, the length of the patient's lifespan, presence or absence of side effects, length of surgery, presence or absence of sequelae, length of treatment, and the amount of medication prescribed.
[0016] Treatment information refers to information about treatments given for a disease. This information includes, for example, the names of treatments such as surgery, radiation therapy, chemotherapy, immunotherapy, and combination therapy using multiple treatments such as surgery, radiation therapy, chemotherapy, and immunotherapy, as well as information such as the content of each treatment and the date and time of treatment, including the year, month, and day the treatment was performed.
[0017] Follow-up information refers to information regarding the monitoring of a disease's progress. This information includes, for example, the name and content of the test, the test results, findings regarding the test results, the time elapsed since treatment, and follow-up date and time information, including the year, month, and day the follow-up was conducted.
[0018] The terminal device 30 is a device used by users such as doctors. This terminal device 30 is equivalent to, for example, a PC (Personal Computer), a tablet PC, a PDA (Personal Digital Assistant), and a smartphone. The terminal device 30 also displays treatment outcome information output from the medical information processing device 10, and displays a search condition setting screen. Furthermore, the terminal device 30 accepts search condition input from the user in order to search for treatment outcome information. For example, the terminal device 30 accepts search condition input from the user by displaying a search condition setting screen.
[0019] The medical information storage device 50 is composed of, for example, a large-capacity hard disk drive or a data server, and stores various types of information generated by the medical information processing system 1. The medical information storage device 50 allows other devices to access the stored information via the hospital network and provides the requested information to other devices. As shown in Figure 2, the medical information storage device 50 includes an electronic medical record database 51 and a treatment results database 52. However, the medical information storage device 50 is not limited to including the electronic medical record database 51 and the treatment results database 52. In other words, the configuration of the medical information storage device 50 is arbitrary, and it may include, for example, a medical image storage device (PACS: Picture Archiving and Communication System).
[0020] The electronic medical record database 51 manages electronic medical record information for each patient. Specifically, the electronic medical record database 51 stores electronic medical record information for multiple patients. Electronic medical record information is information that shows the record of the patient's medical treatment. This electronic medical record information includes, for example, the patient's name, age, sex, physical characteristics (height, weight, etc.), disease name, disease characteristic information, medical history, treatment details for the disease, and surgical information. Note that the electronic medical record information may also include other information besides the patient's name, age, sex, physical characteristics (height, weight, etc.), disease name, disease characteristic information, medical history, treatment details for the disease, and surgical information.
[0021] Figure 3 shows an example of electronic medical record information stored in the electronic medical record database 51 of the medical information processing system 1 according to the first embodiment. In the example shown in Figure 3, the electronic medical record database stores electronic medical record information EC1-EC3 for multiple patients. In addition, electronic medical record information EC1 is associated with the patient name "ABC", the disease name "gastric cancer", and disease characteristic information such as the size of the disease "12 cm" and "non-circumferential tumor".
[0022] The treatment outcome database 52 manages treatment outcome information. In the first embodiment, the treatment outcome database 52 stores treatment outcome information for patients of the hospital. Furthermore, in the treatment outcome database 52, the treatment outcome information is classified based on the disease and the treatment method for that disease.
[0023] Figure 4 shows an example of the configuration of the treatment outcome database 52 of the medical information processing system 1 according to the first embodiment. As shown in Figure 4, in the treatment outcome database 52, treatment outcome information is classified based on the disease name and the treatment method for the disease. In the example shown in Figure 4, the treatment outcome database 52 classifies and manages treatment outcome information based on disease groups and treatment method groups associated with each disease name included in the disease group. In the example shown in Figure 4, the disease groups include gastric cancer, laryngeal cancer, lung cancer, and other disease names. Since no treatment outcome information is registered for lung cancer, information regarding "XYZ Hospital" is set as hospital information regarding the hospital to which patients are referred when they are diagnosed with lung cancer.
[0024] Furthermore, the treatment method groups associated with "gastric cancer" include surgical therapy, radiotherapy, chemotherapy, immunotherapy, and combination therapy. In the example shown in Figure 4, radiotherapy can be classified and managed as X-ray therapy, proton therapy, and heavy ion therapy. Chemotherapy can be classified and managed as FOLFOX therapy, ifosfamide monotherapy, and other chemotherapy. Immunotherapy can be classified and managed as anti-PD-1 antibodies, nivolumab, and other immunotherapies. In the example shown in Figure 4, the treatment outcome database 52 allows for detailed classification and management of radiotherapy, chemotherapy, and immunotherapy, such as X-ray therapy, but the treatment outcome database 52 may also be managed by classifying them as radiotherapy, chemotherapy, and immunotherapy. In other words, the treatment outcome database 52 does not need to be classified and managed in detail.
[0025] Figure 5 shows an example of treatment outcome information stored in the treatment outcome database 52 of the medical information processing system 1 according to the first embodiment. As shown in Figure 5, the treatment outcome database 52 stores the treatment outcome information RIF1 for patient B1, RIF2 for patient B2, and RIF3 for patient B3, classified by disease name "gastric cancer" and treatment method "surgical therapy". Also, as shown in Figure 5, the treatment outcome database 52 stores the treatment outcome information RIF4 for patient A, RIF5 for patient B, RIF6 for patient C, and RIF7 for patient D, classified by disease name "gastric cancer" and treatment method "surgical therapy".
[0026] Figure 6 is a block diagram showing an example of the configuration of a medical information processing device 10 according to the first embodiment. As shown in Figure 6, the medical information processing device 10 is configured to include a storage circuit 11, a communication interface 12, and a processing circuit 13. The multiple elements constituting this medical information processing device 10 may be housed in a single enclosure, or they may be distributed and housed in multiple enclosures.
[0027] The memory circuit 11 is implemented using, for example, semiconductor memory elements such as RAM (Random Access Memory) and flash memory, a hard disk, or an optical disc. The memory circuit 11 stores various types of information, such as electronic medical record information and treatment outcome information, acquired from the medical information storage device 50. In Figure 6, the memory circuit 11 is located inside the medical information processing device 10, but it may also be located externally.
[0028] The communication interface 12 implements various information communication protocols according to the configuration of the hospital network. The communication interface 12 enables communication with other devices via the network NW according to these various protocols. In the example shown in Figure 1, the medical information processing device 10 is connected to the network NW via the communication interface 12, enabling communication with terminal devices 30, medical information storage devices 50, etc.
[0029] The processing circuit 13 is an arithmetic circuit that performs various calculations. For example, the processing circuit 13 acquires disease information, searches for treatment outcome information related to the disease information from the treatment outcome database of the medical information storage device 50, and outputs treatment outcome information based on the search results.
[0030] Therefore, the processing circuit 13 has an acquisition function 131, a generation function 132, a registration function 133, a search function 134, an output function 135, and a setting function 136. The acquisition function 131 corresponds to the acquisition unit in this embodiment, the generation function 132 corresponds to the generation unit in this embodiment, the registration function 133 corresponds to the registration unit in this embodiment, the search function 134 corresponds to the search unit in this embodiment, the output function 135 corresponds to the output unit in this embodiment, and the setting function 136 corresponds to the setting unit in this embodiment.
[0031] In the embodiment shown in Figure 6, each processing function performed by the acquisition function 131, generation function 132, registration function 133, search function 134, output function 135, and setting function 136 is stored in the memory circuit 11 in the form of a program that can be executed by a computer. The processing circuit 13 is a processor that reads the program from the memory circuit 11 and executes it to realize the function corresponding to each program. In other words, the processing circuit 13, in the state in which each program has been read, will have the functions shown in the processing circuit 13 of Figure 6. In Figure 6, it has been explained that the acquisition function 131, generation function 132, registration function 133, search function 134, output function 135, and setting function 136 are realized by a single processing circuit 13, but it is also possible to configure the processing circuit 13 by combining multiple independent processors, and each processor will realize these functions by executing a program.
[0032] Acquisition function 131 acquires disease information. Acquisition function 131 also acquires treatment outcome information. Treatment outcome information is information about the treatment outcome of a disease. Treatment outcome information includes, for example, the patient's name, disease name, disease progression, disease characteristic information, treatment information, follow-up information, and the name of the hospital where the disease was treated and / or followed up.
[0033] The generation function 132 generates treatment outcome information based on the treatment result information. The registration function 133 registers the treatment outcome information generated by the generation function 132 into the treatment outcome database 52.
[0034] The search function 134 searches the treatment outcome database 52 for treatment outcome information related to the disease information, based on the disease information acquired by the acquisition function 131. The output function 135 outputs the treatment outcome information based on the search results of the search function 134.
[0035] The setting function 136 sets hospital information for diseases in the treatment outcome database 52 for which treatment outcome information is not registered. The setting function 136 sets hospital information in the treatment outcome database 52 when it obtains hospital information from the terminal device 50. The hospital information includes, for example, the hospital name, hospital address, hospital contact information, and information about the attending physician. In the example shown in Figure 4, the setting function 136 sets information about "XYZ Hospital" as hospital information for the disease name "lung cancer" in the disease group.
[0036] Figure 7 is a flowchart illustrating the content of the treatment outcome information registration process performed in the medical information processing device 10 according to the first embodiment. The treatment outcome information registration process shown in Figure 7 is a process that is performed, for example, when treatment result information is acquired.
[0037] As shown in Figure 7, first, the acquisition function 131 in the processing circuit 13 of the medical information processing device 10 acquires treatment result information (step S11). Specifically, the acquisition function 131 acquires treatment result information from the terminal device 30 via the communication interface 12.
[0038] Figure 8 shows an example of treatment result information TR acquired by the medical information processing device 10 according to the first embodiment. In the example shown in Figure 8, the acquisition function 131 acquires information including "Patient name: E", "Disease: Gastric cancer, 7 cm", "Treatment method: Chemotherapy + surgery (combination therapy)", "Chemotherapy: Drug A administered for 2 weeks x 5 sets 2024 / 1 / 1-3 / 15", "Surgical treatment: 2024 / 4 / 1 10 cm gastric resection", and follow-up information including "Follow-up details: PET scan: 5 times no abnormalities, CT scan: 3 times no abnormalities".
[0039] Next, as shown in Figure 7, the generation function 132 in the processing circuit 13 of the medical information processing device 10 generates treatment outcome information (step S13). Specifically, the generation function 132 generates treatment outcome information based on the treatment result information acquired by the acquisition function 131.
[0040] Figure 9 shows an example of treatment outcome information generated by the medical information processing device 10 according to the first embodiment. In the example shown in Figure 9, the generation function 132 generates information as treatment outcome information for patient E, based on the follow-up observation content, which is follow-up observation information in the treatment outcome information. This information includes "No cancer recurrence observed" for each of the five PET scans and "No tumors observed" for each of the three CT scans. Although not shown in Figure 9, the treatment outcome information RIF8 for patient E also includes information such as the disease name and treatment method.
[0041] Next, as shown in Figure 7, the registration function 133 in the processing circuit 13 of the medical information processing device 10 registers treatment outcome information (step S15). Specifically, the registration function 133 registers the treatment outcome information generated in step S13 into the treatment outcome database 52 via the communication interface 12.
[0042] Figure 10 shows an example of a method for registering treatment result information in the treatment result database 52 according to the first embodiment. As shown in Figure 10, the registration function 133 registers the treatment result information RIF8 of patient E in the treatment result database 52 so as to correspond it to the treatment method group "combination therapy" in the disease group "gastric cancer," since the treatment result information RIF8 of patient E includes information such as "gastric cancer" as the disease name and "combination therapy" as the treatment method.
[0043] In step S15, the treatment outcome information registration process is terminated by registering the treatment outcome information RIF.
[0044] Figure 11 is a flowchart illustrating the content of the treatment outcome information output process performed in the medical information processing device 10 according to the first embodiment. The treatment outcome information output process shown in Figure 11 is, for example, a process that is executed when search conditions are obtained.
[0045] As shown in Figure 11, first, the acquisition function 131 in the processing circuit 13 of the medical information processing device 10 acquires search conditions (step S21). Specifically, the acquisition function 131 acquires search conditions for searching treatment outcome information from the terminal device 30 via the communication interface 12. In the first embodiment, the acquisition function 131 acquires the acquired search conditions as disease information.
[0046] Figure 12 shows an example of a search condition setting screen displayed on the display of the terminal device 30 according to the first embodiment. As shown in Figure 12, the search condition setting screen SC1 displayed on the display of the terminal device 30 includes a first text box TB1 for entering the name of a disease, which is one of the search conditions, a second text box TB2 for entering the stage, which is the progression of the disease, which is another of the search conditions, and an OK button B1. In the example shown in Figure 12, "stomach cancer" is entered in the first text box TB1 and "0" is entered in the second text box TB2. When a doctor presses the OK button B1 via the input interface of the terminal device 30, the search conditions including the name of the disease and the stage are output from the terminal device 30 to the medical information processing device 10, and the acquisition function 131 acquires the search conditions including the name of the disease "stomach cancer" and the stage "0" as disease information. Note that the input to the first text box TB1 and the second text box TB2 may be done by the user entering the search conditions via an input interface such as a keyboard, or by the user selecting the search conditions from a pull-down menu.
[0047] Next, as shown in Figure 11, the search function 134 in the processing circuit 13 of the medical information processing device 10 searches for treatment outcome information (step S23). Specifically, the search function 134 searches for treatment outcome information RIFs related to the disease information from the treatment outcome database 52 based on the disease information acquired by the acquisition function 131. More specifically, the search function 134 searches for treatment outcome information RIFs related to the search conditions from the treatment outcome database 52 based on the search conditions acquired as disease information by the acquisition function 131.
[0048] The following describes how to search for treatment outcome information in the medical information processing device 10. Figure 13 is a flowchart illustrating the contents of the search process performed in the first embodiment.
[0049] In step S23, the search function 134 first searches for patients with the same disease based on the search conditions obtained in step S21 (step S231). Specifically, if the acquisition function 131 obtained the disease name "gastric cancer" and stage "0" in step S21, the search function 134 searches for patients with stage "0" in the disease group "gastric cancer" in the treatment results database 52. Although the search function 134 is set to search for patients with the same disease name and stage, it is not limited to this. The search function 134 may also search for patients with the same disease name.
[0050] Next, the search function 134 searches for treatments with high treatment outcomes (step S233). Specifically, the search function 134 evaluates the treatment outcome information contained in the treatment outcome information RIF retrieved in step S231, based on at least one of the following: whether or not the disease was completely cured, the length of the survival period for the disease, the presence or absence of side effects, the length of surgery, the presence or absence of sequelae, the length of treatment, and the amount of drug used to treat the disease, and searches for treatments with treatment outcomes that exceed a predetermined threshold.
[0051] Next, the search function 134 searches for a single treatment (step S235). Specifically, the search function 134 searches for treatment outcomes in the RIF (Research Result Information) retrieved in step S233 that are single treatments and include only one treatment session in the RIF. In step S235, the search function 134 searches for treatment outcomes with one treatment session, but is not limited to this. That is, the number of treatment sessions in the treatment outcomes retrieved in step S235 is arbitrary, and for example, the search function 134 may be configured to search for treatment outcomes with a predetermined number of treatment sessions or less.
[0052] Next, in step S23, the search function 134 searches for treatment outcome information with low total treatment costs (step S237). Specifically, the search function 134 searches for treatment outcome information from the treatment outcome information RIF retrieved in step S235, in which the total treatment cost is lower than a predetermined threshold.
[0053] Next, the search function 134 searches for a hospital near the patient's home (step S239). Specifically, the search function 134 refers to the electronic medical record, compares the patient's address with the location of the hospital included in the treatment result information RIF, and searches for the treatment result information including the location of the hospital located within a predetermined range.
[0054] Next, the search function 134 inquires about the acceptance of treatment (step S241). Specifically, the search function 134 uses the reservation cooperation system to inquire about the acceptance of treatment at the hospital included in the treatment result information RIF retrieved in step S239. Then, the search function 134 searches for the treatment result information RIF including the hospital where treatment can be accepted from the treatment result information RIF retrieved in step S239.
[0055] FIG. 14 is a diagram showing an example of the treatment result information RIF retrieved from the treatment result database 52 according to the first embodiment. In the example shown in FIG. 14, the search function 134 retrieves the treatment result information RIF1 of patient B1, the treatment result information RIF2 of patient B2, and the treatment result information RIF8 of patient E from the treatment result database 52.
[0056] By inquiring about the acceptance of treatment in this step S241, the search process ends.
[0057] Returning to FIG. 11, the generation function 132 in the processing circuit 13 of the medical information processing apparatus 10 generates a treatment result information list (step S25). Specifically, the generation function 132 generates a treatment result information list, which is a list of the treatment result information, based on the search result by the search function 134 in step S23.
[0058] Next, the output function 135 in the processing circuit 13 of the medical information processing device 10 outputs treatment outcome information (step S27). Specifically, the output function 135 outputs treatment outcome information based on the search results obtained by the search function 134 in step S23. More specifically, the output function 135 outputs the treatment outcome information based on the search results obtained by the search function 134 to the terminal device 30, for example, by outputting the treatment outcome information list generated in step S25 to the terminal device 30 via the communication interface 12.
[0059] Figure 15 shows an example of a treatment outcome information list displayed on the display of the terminal device 30 according to the first embodiment. In the example shown in Figure 15, the treatment outcome information list LT1 generated in step S25 is output to the terminal device 30 and displayed on the display of the terminal device 30. The physician then selects a referral hospital based on the treatment outcome information list LT1 displayed on the display of the terminal device 30. In step S25, the medical information processing device 10 generates the treatment outcome information list LT1, but the terminal device 30 may generate the treatment outcome information list LT1 from the treatment outcome information output from the medical information processing device 10 and display the treatment outcome information list LT1 on the display. If the terminal device 30 generates the treatment outcome information list LT1, the processing in step S25 does not need to be executed in the treatment outcome information output processing.
[0060] In step S27, the treatment outcome information output process is terminated by outputting the treatment outcome information RIF.
[0061] As described above, the medical information processing device 10 of the medical information processing system 1 acquires search conditions as disease information, searches the treatment outcome information RIF related to the disease information from the treatment outcome database 52 based on the disease information, and outputs the treatment outcome information RIF based on the search results. Therefore, by checking the output treatment outcome information RIF, physicians can easily select hospitals with high treatment effectiveness.
[0062] Furthermore, the medical information processing device 10 of the medical information processing system 1 searches for treatment outcome information RIFs related to disease information from the treatment outcome information RIFs managed in the treatment outcome database 52. Therefore, physicians can select potential referral hospitals based on past treatment results managed in the treatment outcome database 52, thus enabling them to select referral hospitals without relying on their own experience.
[0063] Furthermore, the medical information processing device 10 of the medical information processing system 1 generates treatment result information RIF when it acquires treatment result information TR, and registers the treatment result information RIF in the treatment result database 52, so that the latest treatment results can be used.
[0064] [Variation 1] In the medical information processing device 10 described above, the acquisition function 131 acquires the search conditions as disease information in step S11 of the treatment result information output processing. However, the acquisition function 131 can also acquire search conditions including the patient's name and, based on the patient's name, extract and acquire disease name and disease characteristic information related to the characteristics of the disease from the patient's electronic medical record information in the electronic medical record database 51 as disease information. Note that the configuration of the medical information processing system 1 and the medical information processing device 10 is the same as that shown in Figures 1 and 6, so a description is omitted.
[0065] Figure 16 is a flowchart illustrating the content of the treatment outcome information output process performed in the medical information processing device 10 according to Modification 1, and corresponds to Figure 11. For example, the treatment outcome information output process is a process that is executed when search conditions are obtained.
[0066] As shown in Figure 16, first, the acquisition function 131 in the processing circuit 13 of the medical information processing device 10 acquires search conditions (step S21a). Specifically, the acquisition function 131 acquires search conditions for searching treatment outcome information from the terminal device 30 via the communication interface 12.
[0067] Figure 17 is a diagram showing an example of the search condition setting screen displayed on the terminal device 30 according to Modification 1, and corresponds to Figure 12. As shown in Figure 17, the search condition setting screen SC1a displayed on the terminal device 30 includes a first text box TB1a for entering the patient name, which is one of the search conditions, and an OK button B1. In the example shown in Figure 17, "ABC" is entered as the patient name in the first text box TB1a. When the doctor presses the OK button B1 via the input interface of the terminal device 30, the search conditions including the patient name are output from the terminal device 30 to the medical information processing device 10, and the acquisition function 131 acquires the search conditions including the patient name "ABC".
[0068] Next, as shown in Figure 16, the acquisition function 131 in the processing circuit 13 of the medical information processing device 10 acquires disease information from the electronic medical record database (step S29). Specifically, the acquisition function 131 acquires disease information from the patient's electronic medical record information in the electronic medical record database 51. More specifically, based on the search conditions acquired in step S21a, it extracts disease names and disease characteristic information from the electronic medical record information including the patient name included in the search conditions, and acquires disease information including disease names and disease characteristic information.
[0069] Figure 18 shows an example of disease information acquired by the medical information processing device 10 according to Modification 1. As shown in Figure 18, the acquisition function 131 extracts the patient name "ABC", the disease name "gastric cancer", and the disease characteristic information "size: 12 cm, non-circumferential tumor" from the electronic medical record information managed in the electronic medical record database 51, and acquires disease information DIF.
[0070] The processes in steps S23, S25, and S27, which follow step S29, are equivalent to those in Figure 11 described above, so their explanation is omitted. Then, in step S27, the treatment outcome information output process is terminated by outputting the treatment outcome information RIF.
[0071] As described above, in the medical information processing device 10 according to Modification 1, search conditions are obtained, disease information is extracted and obtained from the electronic medical record database 51 based on the obtained search conditions, treatment outcome information RIFs related to the disease information are searched from the treatment outcome database 52 based on the obtained disease information, and treatment outcome information RIFs based on the search results are output. Therefore, by checking the outputted treatment outcome information RIFs, physicians can easily select hospitals with high treatment effectiveness.
[0072] [Variation 2] In the medical information processing device 10 described above, the treatment outcome information list LT1 may be classified and displayed by the year in which treatment was performed. Specifically, the generation function 132 of the medical information processing device 10 may classify the treatment outcome information retrieved by the search function 134 by year based on the treatment date and time information in the treatment outcome information, generate a treatment outcome information list, and display the generated treatment outcome information list on the display of the terminal device 30. More specifically, the generation function 132 may, for example, generate a treatment outcome list from treatment outcome information from 2020 to 2024, and display the generated treatment outcome information list on the display of the terminal device 30. By classifying and displaying the treatment outcome information by year in this way, it is possible to display treatment outcome information according to the treatment method and treatment trends of the year in which the patient was treated, making it easy to select hospitals with high treatment effectiveness according to the treatment method and treatment trends of the year in which the patient was treated.
[0073] In addition, in the medical information processing device 10 according to Modification 2, the generation function 132 may classify the treatment outcome information according to the period in which the treatment policy was applied, based on the treatment date and time information in the treatment outcome information, generate a list of treatment outcome information, and display the generated list of treatment outcome information on the display of the terminal device 30. Specifically, the generation function 132 may, for example, classify the treatment outcome information into three categories: treatment outcome information for treatments performed up to 1992 when treatment policy 1 was applied, treatment outcome information for treatments performed from 1993 to 2001 when treatment policy 2 was applied, and treatment outcome information for treatments performed from 2002 onwards when treatment policy 3 was applied, generate a list of treatment outcome information for each of the three classifications, and display the three generated list of treatment outcome information on the display of the terminal device 30.
[0074] Furthermore, in the medical information processing device 10 according to Modification 2, the generation function 132 may classify the treatment outcome information for each guideline applied to the treatment based on the treatment date and time information in the treatment outcome information, generate a list of treatment outcome information, and display the generated list of treatment outcome information on the display of the terminal device 30. Specifically, the generation function 132 may, for example, classify the treatment outcome information into treatment outcome information for treatments to which the 1990 guideline was applied and treatment outcome information for treatments to which the 2024 guideline was applied, generate a list of treatment outcome information for each of the two classifications, and display the two generated list of treatment outcome information on the display of the terminal device 30.
[0075] [Example 3] Furthermore, in the medical information processing device 10 described above, a category may be specified, and treatment result information may be displayed for each specified category. Figure 19 is a diagram showing an example of the configuration of the medical information processing device 10 according to Modification 3, and corresponds to Figure 6. As shown in Figure 19, the medical information processing device 10 according to Modification 3 is configured by adding a category specification function 137 to the processing circuit 13a compared to the medical information processing device 10 in the first embodiment described above. Note that the configuration and functions of the processing circuit 13a other than the category specification function 137 are the same as in Figure 6, so their explanation is omitted.
[0076] The category designation function 137 specifies the category of treatment outcome information. Specifically, the category designation function 137 accepts input operations from physicians to specify categories and, based on the accepted input operations, specifies the category of treatment outcome information. These categories include, for example, age, gender, length of recurrence period, and length of survival period.
[0077] Figure 20 is a diagram showing an example of a treatment outcome information list displayed on the display of the terminal device 30 according to Modification 3, and corresponds to Figure 15. As shown in Figure 20, the treatment outcome information list according to Modification 3 has a third text box TB3 for inputting categories into the treatment outcome information list LT1a, which is added to the treatment outcome information list LT1 in the first embodiment described above.
[0078] In the example shown in Figure 20, when a physician enters a category into the third text box TB3 via the input interface of the terminal device 30, the category specification function 137 of the medical information processing device 10 accepts the category entered into the third text box TB3 and specifies the category of the treatment outcome information. The generation function 132 generates a treatment outcome information list LT1a corresponding to the category specified by the category specification function 137. The output function 135 outputs the treatment outcome information for each category specified by the category specification function 137. Specifically, the output function 135 outputs the treatment outcome information by outputting the generated treatment outcome information list LT1a. Specifically, for example, if a physician enters age as a category in the third text box TB3 via the input interface of the terminal device 30, the category specification function 137 specifies the age, the generation function 132 generates treatment outcome information lists divided into children (under 12 years old), people in their 20s, people in their 30s, and people in their 60s, and the output function 135 outputs the generated treatment outcome information list LT1a, thereby outputting the treatment outcome information.
[0079] As described above, in the medical information processing device 10 according to Modification 3, a list of treatment outcome information is generated according to the category specified by the category specification function 137. Therefore, it becomes easy to check the information closest to the patient among the treatment outcome information included in the list of treatment outcome information, and it becomes easy to select hospitals with high treatment effectiveness.
[0080] [Second Embodiment] The medical information processing device 10 according to the first embodiment described above searches for treatment outcome information related to disease information from treatment outcome information registered in the hospital itself. However, it may also search for treatment outcome information from treatment outcome information registered in the hospital itself and treatment outcome information registered in other hospitals. The differences from the first embodiment described above will be explained below.
[0081] Figure 21 is a diagram showing an example of the configuration of a medical information processing system 1a according to the second embodiment, and corresponds to Figure 2. As shown in Figure 21, the medical information processing system 1a is configured to include a medical information processing device 10a, a terminal device 30, a medical information storage device 50a, a central control unit 70, a medical information generation device 90, and a medical information management device 110. As shown in Figure 21, the medical information processing device 10a, the terminal device 30, the medical information storage device 50a, the central control unit 70, the medical information generation device 90, and the medical information management device 110 are communicated to each other via a dedicated network NW within the hospital. Alternatively, the medical information processing device 10a, the terminal device 30, the medical information storage device 50a, the central control unit 70, the medical information generation device 90, and the medical information management device 110 may be communicated to each other via a public network such as the Internet. The configuration of terminal device 30 is the same as that of terminal device 30 in Figure 2, so its explanation is omitted.
[0082] The medical information processing device 10a is a device for outputting treatment outcome information. For example, the medical information processing device 10 acquires disease information, searches for treatment outcome information related to the disease information from the treatment outcome database 52a of the medical information storage device 50a, and outputs treatment outcome information based on the search results. The medical information processing device 10a also anonymizes the treatment outcome information acquired by the central control unit 70 from a hospital referral system that collects treatment outcome information stored by other hospitals (hereinafter also referred to as "other hospitals"). The medical information processing device 10a is also a computer, such as a PC (Personal Computer) or a server device, similar to the first embodiment. The medical information processing device 10a may be located in a cloud environment or installed in a medical institution facility such as a hospital or clinic.
[0083] The medical information storage device 50a is composed of, for example, a large-capacity hard disk drive or a data server, and stores medical information generated by the medical information processing system 1a. The medical information storage device 50a allows other devices to access the stored information via the hospital network and provides the requested information to other devices. The medical information storage device 50a also stores treatment outcome information from the hospital obtained from referring hospitals, etc. The medical information storage device 50a also stores treatment outcome information stored by other hospitals. The patient information included in the treatment outcome information stored by other hospitals that is stored in the medical information storage device 50a is anonymized by the medical information processing device 10a. Furthermore, the medical information storage device 50a stores treatment outcome IDs that are generated by the medical information management device 110 when the central control unit 70 acquires treatment outcome information stored by other hospitals. As shown in Figure 5, the medical information storage device 50a includes an electronic medical record database 51 and a treatment outcome database 52. The medical information storage device 50a includes, but is not limited to, an electronic medical record database 51 and a treatment results database 52. In other words, the configuration of the medical information storage device 50a is arbitrary, and may include, for example, a medical image storage device (PACS: Picture Archiving and Communication System). The configuration of the electronic medical record database 51 is the same as that shown in Figure 2, so its explanation is omitted.
[0084] The treatment outcome database 52a manages treatment outcome information. In the second embodiment, the treatment outcome database 52a stores treatment outcome information of its own patients, as well as treatment outcome information obtained from other hospitals and stored by other hospitals. Hereinafter, the treatment outcome information of its own patients will be referred to as the first treatment outcome information, and the treatment outcome information obtained from other hospitals will be referred to as the second treatment outcome information.
[0085] The central control unit 70 controls the medical information processing device 10a, the medical information generation device 90, and the medical information management device. The central control unit 70 acquires information such as second treatment result information, and controls the medical information processing device 10a to perform various processes based on the acquired information.
[0086] The medical information generation device 90 is composed of a medical imaging diagnostic device, a vital sign measurement device, a wearable device, etc., and generates medical information. For example, the medical information generation device 90 receives an operation request from a terminal device 30 and generates medical information. The medical information generation device 90 supplies the generated medical information to the hospital network, where it is stored in a medical information storage device 50a, for example, or processed by a medical information processing device 10a.
[0087] The medical information management device 110 is composed of computer devices such as a server, workstation, or personal computer, and manages the medical information stored in the medical information storage device 50a. Furthermore, when a user operates the terminal device 30 and inputs some medical information, the medical information management device 110 stores this input medical information in association with the medical information stored in the medical information storage device 50a as needed. The medical information management device 110 also collects medical information from the medical information storage device 50a. In addition, the medical information management device 110 generates a treatment result ID when the central control device 70 acquires the second treatment result information. This treatment result ID is an example of identification information in this embodiment. The medical information management device 110 also transmits the generated treatment result ID to the medical information processing device 10 or the medical information storage device 50a.
[0088] Figure 22 is a block diagram showing an example of the configuration of the medical information processing device 10a according to the second embodiment, and corresponds to Figure 6. As shown in Figure 22, the medical information processing device 10a according to the second embodiment is configured by adding a determination function 138, an anonymization processing function 139, and an association function 1310 to the processing circuit 13b compared to the medical information processing device 10 according to the first embodiment described above. Note that the configuration and functions of the processing circuit 13b other than the determination function 138, anonymization processing function 139, and association function 1310 are the same as in Figure 6, so their explanation is omitted. Furthermore, the determination function 138, anonymization processing function 139, and association function 1310 correspond to the determination unit, anonymization processing unit, and association unit in this embodiment, respectively.
[0089] The judgment function 138 determines whether the treatment outcome information is information generated at another hospital that has not been anonymized. Specifically, the judgment function 138 determines whether the treatment outcome information acquired by the acquisition function 131 is second-party treatment outcome information that has not been anonymized.
[0090] The anonymization function 139 anonymizes patient information in treatment outcome information when the treatment outcome information is generated at another hospital and has not been anonymized. Specifically, the anonymization function 139 anonymizes patient information in second treatment outcome information when the treatment outcome information acquired by the acquisition function 131 is second treatment outcome information that has not been anonymized. Patient information refers to patient information such as patient name, patient address, and patient gender.
[0091] The association function 1310 associates identification information with the treatment outcome information that has been anonymized by the anonymization processing function 139. Specifically, the association function 1310 associates the treatment outcome ID with the second treatment outcome information that has been anonymized by the anonymization processing function 139. By associating the treatment outcome ID with the second treatment outcome information in this way, if the second treatment outcome information is updated at another hospital, it becomes possible to update the second treatment outcome information stored in the treatment outcome database 52 with the same updated second treatment outcome information.
[0092] Figure 23 is a flowchart illustrating the content of the treatment result information output process performed in the medical information processing device according to the second embodiment, and corresponds to Figure 11 described above. The treatment result information registration process shown in Figure 23 is also a process that is performed, for example, when search conditions are obtained, similar to Figure 11. Note that the process in step S11 is equivalent to that in Figure 11, so its explanation is omitted.
[0093] Next, as shown in Figure 23, the search function 134 in the processing circuit 13b of the medical information processing device 10a searches for treatment outcome information (step S23a). Specifically, based on the disease information acquired by the acquisition function 131, the search function 134 searches the treatment outcome database 52a and the storage device that stores second treatment outcome information from other hospitals for first treatment outcome information and / or second treatment outcome information related to the disease information as treatment outcome information RIF related to the disease information. Note that the method for searching for treatment outcome information is the same as described in 13 above, so the explanation is omitted.
[0094] Next, as shown in Figure 23, the determination function 138 in the processing circuit 13b of the medical information processing device 10a determines whether or not the second treatment result information has not been anonymized (step S31). Specifically, the determination function 138 determines whether or not the treatment result information based on the search results from the search function 134 in step S23a is the second treatment result information that has not been anonymized.
[0095] Then, in step S31, if the second treatment outcome information has not been anonymized (step S31: Yes), the anonymization processing function 139 in the processing circuit 13b of the medical information processing device 10a anonymizes the patient information (step S33). Specifically, the anonymization processing function 139 anonymizes the patient information by deleting the patient information in the second treatment outcome information.
[0096] Next, as shown in Figure 23, the association function 1310 obtains the treatment outcome ID (step S35). Specifically, the association function 1310 obtains the treatment outcome ID generated by the medical information management device 110 via the communication interface 12. Alternatively, the association function 1310 may obtain the treatment outcome ID generated for the second treatment outcome information from the medical information storage device 50a via the communication interface 12.
[0097] Next, as shown in Figure 23, the association function 1310 associates the treatment outcome ID with the treatment outcome information (step S37). Specifically, the association function 1310 associates the treatment outcome ID obtained in step S35 with the second treatment outcome information obtained in step S33 from which patient information has been anonymized.
[0098] Figure 24 is a diagram showing an example of second treatment outcome information associated with a treatment outcome ID in the second embodiment, and corresponds to Figure 9. In the example shown in Figure 24, the second treatment outcome information RIF8a is associated with treatment outcome ID "1".
[0099] Next, as shown in Figure 23, the registration function 133 in the processing circuit 13b of the medical information processing device 10a registers the second treatment result information associated with the treatment result ID (step S39). Specifically, the registration function 133 registers the second treatment result information associated with the treatment result ID in step S37 by storing it in the treatment result database 52a in the medical information storage device 50a.
[0100] Next, as shown in Figure 23, if the second treatment outcome information is not anonymized after step S39 or in step S31, the generation function 132 in the processing circuit 13b of the medical information processing device 10a generates a treatment outcome information list (step S25). The processing in step S25 is equivalent to the processing in step S25 of Figure 11, so its explanation is omitted.
[0101] Next, as shown in FIG. 23, the output function 135 in the processing circuit 13b of the medical information processing apparatus 10a outputs treatment result information (step S27a). Specifically, the output function 135 outputs the first treatment result information and / or the second treatment result information as the treatment result information retrieved by the retrieval function 134 in step S23 to the terminal device 30.
[0102] FIG. 25 is a diagram showing an example of a treatment result information list displayed on the display of the terminal device 30 according to the second embodiment. As shown in FIG. 25, the terminal device 30 causes the treatment result information list LT1b output from the medical information processing apparatus 10 to be displayed on the display of the terminal device 30. In the example shown in FIG. 25, the treatment result information list LTb1 displayed on the terminal device 30 includes anonymized second treatment result information, and the anonymized second treatment result information is displayed as patient names "unknown1" and "unknown2", respectively, and treatment result IDs "1" and "2" are displayed respectively. Then, based on the treatment result information list LT1b displayed on the display of this terminal device 30, even when including the treatment result information of patients in other hospitals, the doctor can select a referral hospital without identifying the patients.
[0103] As described above, in the medical information processing apparatus 10 of the medical information processing system 1, the search condition is acquired as disease information, and based on the disease information, the treatment result information RIF related to the disease information is retrieved from the treatment result database 52, and the treatment result information RIF based on the search result is output. Therefore, the doctor can easily select a hospital with a high treatment effect by checking the output treatment result information RIF.
[0104] In addition, since the medical information processing apparatus 10a of the medical information processing system 1 can acquire the treatment result information in the referral hospital related to the disease information, it is possible to select a hospital by referring to the latest treatment results in the referral hospital, so it is possible to more easily select a hospital with a high treatment effect.
[0105] [Other Modifications] In the medical information processing system 1 according to the first and second embodiments described above, the medical information processing devices 10, 10a, the terminal device 30, and the medical information storage devices 50, 50a are each configured as separate units. However, in the medical information processing system 1 according to the first and second embodiments described above, at least two or more of the medical information processing devices 10, 10a, the terminal device 30, and the medical information storage devices 50, 50a may be configured as a single unit.
[0106] In the medical information processing system 1 according to the first and second embodiments described above, the registration function 133 may update the treatment outcome information based on the treatment result information obtained from treatment or follow-up at the hospital when treatment or follow-up is performed at the hospital. Figure 26 is a diagram showing an example of treatment outcome information and corresponds to Figure 9. In the example shown in Figure 26, the treatment outcome information shows that a PET scan on 2026 / 12 / 10 and a CT contrast-enhanced scan on 2026 / 12 / 11 were performed at the hospital. As shown in Figure 6, cancer recurrence was observed when the PET scan and CT scan were performed at the hospital. In such a case, for example, while no cancer recurrence was observed during follow-up at the referral hospital, cancer recurrence was observed when the examination was performed at the hospital. Therefore, in the search process shown in Figure 13, the evaluation of the referral hospital will be lower when searching for treatment outcome information.
[0107] Note that the term "processor" used in the above description means, for example, a CPU (Central Processing Unit), a GPU (Graphics Processing Unit), or a circuit such as an application specific integrated circuit (ASIC), a programmable logic device (for example, a simple programmable logic device (SPLD), a complex programmable logic device (CPLD), and a field programmable gate array (FPGA)). The processor realizes its functions by reading and executing the programs stored in the storage circuit 11. Note that instead of storing the programs in the storage circuit 11, the programs may be directly incorporated into the circuit of the processor. In this case, the processor realizes its functions by reading and executing the programs incorporated into the circuit. Note that the processor is not limited to the case where it is configured as a single processor circuit, and a plurality of independent circuits may be combined to form one processor to realize its functions. Further, a plurality of components in FIGS. 6, 19, and 22 may be integrated into one processor to realize its functions.
[0108] According to at least one embodiment described above, a hospital with a high treatment effect can be easily selected.
[0109] As described above, several embodiments have been described, but these embodiments are presented only as examples and are not intended to limit the scope of the invention. The novel devices and methods described in this specification can be implemented in various other forms. Also, various omissions, substitutions, and changes can be made to the forms of the devices and methods described in this specification without departing from the gist of the invention. The scope of the appended claims and equivalents thereof are intended to include such forms and modifications included in the scope and gist of the invention. [Explanation of symbols]
[0110] 1, 1a...Medical information processing system, 10, 10a...Medical information processing device, 11...Memory circuit, 12...Communication interface, 13, 13a, 13b...Processing circuit, 30...Terminal device, 50, 50a...Medical information storage device, 51...Electronic medical record database, 52, 52a...Treatment results database, 70...Central control unit, 90...Medical information generation device, 110...Medical information management device, 131...Acquisition function, 132...Generation function, 133...Registration function, 134...Search function, 135...Output function, 136...Setting function, 137...Category specification function, 138...Judgment function, 139...Anonymization processing function
Claims
1. An acquisition unit that acquires disease information related to diseases, A search unit searches for the treatment outcome information related to the disease information from a treatment outcome database that manages treatment outcome information related to the treatment outcomes of the disease, based on the disease information acquired by the acquisition unit. An output unit that outputs the treatment results information based on the search results from the search unit, A medical information processing device equipped with [a specific feature].
2. The medical information processing apparatus according to claim 1, wherein the acquisition unit acquires search conditions for searching the treatment outcome information as disease information.
3. The medical information processing device according to claim 1, wherein the acquisition unit acquires a patient's name and, based on the patient's name, acquires disease information from the patient's electronic medical record information in an electronic medical record database that manages electronic medical record information for each patient.
4. The medical information processing device according to claim 1, wherein in the treatment outcome database, the treatment outcome information is classified based on the disease and the treatment method for the disease.
5. The medical information processing apparatus according to claim 4, further comprising a setting unit for setting hospital information for diseases in which the treatment outcome information is not registered in the treatment outcome database.
6. A generation unit that generates the treatment outcome information based on treatment outcome information regarding the treatment results of the disease, The medical information processing apparatus according to claim 1, further comprising: a registration unit for registering the treatment result information generated by the generation unit into the treatment result database.
7. The medical information processing apparatus according to claim 1, wherein the search unit evaluates the treatment outcome information based on at least one of the following: whether or not the disease is completely cured, the length of the survival period for the disease, the presence or absence of side effects, the length of the surgery, the presence or absence of sequelae, the length of the treatment period, and the amount of drug used to treat the disease, and searches for treatments with a treatment outcome higher than a predetermined threshold.
8. The medical information processing device according to claim 1, wherein the treatment outcome information includes disease characteristic information relating to the characteristics of the disease, follow-up information relating to the follow-up of the disease, and the name of the hospital where the treatment and / or follow-up of the disease was performed.
9. The generation unit generates a treatment outcome information list, which is a list of the treatment outcome information, based on the search results from the search unit. The medical information processing apparatus according to claim 6, wherein the output unit outputs the treatment result information list generated by the generation unit, thereby outputting treatment result information based on the search results from the search unit.
10. The aforementioned treatment outcome information includes treatment date and time information, including the year, month, and day the treatment was performed. The medical information processing apparatus according to claim 9, wherein the generation unit classifies the treatment result information retrieved by the search unit by year based on the treatment date and time information and generates the treatment result information list.
11. The system further includes a category designation unit for specifying the categories of the aforementioned treatment outcome information, The medical information processing apparatus according to claim 1, wherein the output unit outputs the treatment results information for each category specified by the category designation unit.
12. A determination unit that determines whether the aforementioned treatment outcome information is information generated at another hospital that has not undergone anonymization processing, An anonymization processing unit that anonymizes patient information in the treatment outcome information when the treatment outcome information is information generated at another hospital that has not undergone anonymization processing, The medical information processing apparatus according to claim 1, further comprising the above.
13. A medical information processing apparatus according to claim 12, which associates identification information with the treatment result information that has been anonymized by the anonymization processing unit.
14. A terminal device that accepts user input of search criteria for searching for treatment outcome information regarding the treatment outcomes of diseases, An acquisition unit that acquires disease information relating to a disease based on search conditions received by the terminal device, and a search unit that searches for treatment result information related to the disease information from a treatment result database that manages the treatment result information based on the disease information acquired by the acquisition unit, A medical information processing device comprising: an output unit that outputs the treatment result information based on the search results of the search unit to a user terminal; A medical information processing system equipped with [a specific feature / feature].
15. Steps to obtain disease information about a disease, Based on the acquired disease information, the step of searching for the treatment outcome information related to the disease information from a treatment outcome database that manages treatment outcome information related to the treatment outcome of the disease, A step of outputting the treatment outcome information based on the search results, A program to be executed by a medical information processing device.
Citation Information
Patent Citations
Medical information system
JP2002073822A