Medical information processing apparatus, medical information processing system, and medical information processing method
Patent Information
- Application Number
- JP2023130360
- Authority / Receiving Office
- JP · JP
- Patent Type
- Applications
- Current Assignee / Owner
- Filing Date
- 2023-08-09
- Publication Date
- 2025-02-21
Smart Images

Figure 2025025524000001_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 medical information processing method. [Background technology]
[0002] In the past, when a doctor decided on a treatment plan for a patient, the decision was made within the scope of the doctor's expertise, which may have been different from the treatment the patient desired. For this reason, for example, SDM (Shared Decision Making) may be implemented to understand the patient's wishes.
[0003] However, patients may not be able to visualize the effects of treatment through SDM with their doctor alone, and may be unable to realize the effects of treatment, which can lead to confusion in choosing a treatment. [Prior art documents] [Patent documents]
[0004] [Patent Document 1] JP 2017-204206 A Summary of the Invention [Problem to be solved by the invention]
[0005] One of the problems to be solved by the embodiments disclosed in this specification and the drawings is to provide a patient with a treatment result corresponding to a treatment plan. However, the problems to be solved by the embodiments disclosed in this specification and the drawings are not limited to the above problem. Problems corresponding to the effects of each configuration shown in the embodiments described below can also be positioned as other problems. [Means for solving the problem]
[0006] The medical information processing device according to the present embodiment includes a generating unit and an output unit. The generating unit generates treatment result information indicating a plurality of future treatment results corresponding to the plurality of treatment plans based on the subject's current disease, the plurality of treatment plans corresponding to the disease, and the subject's request. The output unit outputs the treatment result information. [Brief description of the drawings]
[0007] [Figure 1] FIG. 1 is a block diagram showing an example of the configuration of a medical information processing system according to an embodiment. [Diagram 2] FIG. 2 is a block diagram showing an example of the configuration of the medical image processing apparatus according to the embodiment. [Diagram 3] FIG. 3 is a table showing an example of a treatment plan corresponding to a request result for a second opinion according to the embodiment. [Figure 4] FIG. 4 is a schematic diagram showing an example of treatment result information according to the embodiment. [Diagram 5] FIG. 5 is a flowchart showing an example of the flow of processing executed by the medical image processing apparatus according to the embodiment. [Figure 6] FIG. 6 is a block diagram showing an example of the configuration of a medical image processing apparatus according to the second modified example. [Figure 7] FIG. 7 is a schematic diagram showing an example of treatment result information according to the second modified example. DETAILED DESCRIPTION OF THE PREFERRED EMBODIMENTS
[0008] Hereinafter, with reference to the attached drawings, an embodiment of a medical information processing device, a medical information processing system, and a medical information processing method will be described in detail. In the following embodiments, parts with the same reference numerals perform the same operation, and duplicated explanations will be omitted as appropriate. Note that, although the medical information processing system shown in FIG. 1 shows one of each device, in reality, it may further include multiple devices.
[0009] (Embodiment) Fig. 1 is a block diagram showing an example of a configuration of a medical information processing system 100 according to an embodiment. The medical information processing system 100 shown in Fig. 1 is a system including a hospital information system (HIS), a radiology information system (RIS), a medical image management system (PACS), and an electronic medical record system. The medical information processing system 100 includes a first hospital information server 10, an image storage server 20, a first operation terminal 30, a medical information processing device 40, a second hospital information server 50, and a second operation terminal 60.
[0010] The first hospital information server 10, the image storage server 20, the first operation terminal 30, the medical information processing device 40, the second hospital information server 50, and the second operation terminal 60 are connected to, for example, an external network, and transmit information to a predetermined device and receive information transmitted from the predetermined device. Note that the first hospital information server 10, the image storage server 20, the medical information processing device 40, the second hospital information server 50, and the second operation terminal 60 may be connected to an in-hospital LAN (Local Area Network) installed in the hospital in addition to the external network.
[0011] The first hospital information server 10 is, for example, an HIS server. The first hospital information server 10 has a medical database that manages information generated in the hospital. The first hospital information server 10 is realized by a computer device such as a workstation. The information generated in the hospital includes patient information. The medical database may be connected to an external network such as a cloud.
[0012] Patient information includes basic information about the patient (patient basic information) and hospitalization information. The patient basic information includes the patient ID, name, date of birth, sex, blood type, height, weight, etc. Identification information that uniquely identifies the patient is set in the patient ID. Patient hospitalization information includes information such as numerical values (measurements) and medical records, and information indicating the date and time of recording. For example, patient hospitalization information includes nursing records by nurses, tests for the testing department, and meal arrangements during hospitalization. For example, prescriptions are recorded in an electronic medical record by a doctor, and nursing records are recorded in an electronic medical record by a nurse.
[0013] The image storage server 20 is, for example, a PACS server. The image storage server 20 is a server device that stores image data such as X-ray image data generated by a modality. The image storage server 20 is realized by a computer device such as a workstation. A modality is a medical image diagnostic device that photographs a patient (subject) and collects medical images. The modality is, for example, an X-ray CT (Computed Tomography) device, an X-ray diagnostic device, an ultrasound diagnostic device, a magnetic resonance imaging device, a nuclear medicine radiological device, a mammography device, etc. Hereinafter, a patient will also be referred to as a subject.
[0014] The first operation terminal 30 is used by a patient. The first operation terminal 30 transmits, for example, first request information regarding a request for a second opinion input by the patient to the medical information processing device 40. The first operation terminal 30 includes a PC (Personal Computer), a tablet PC, a PDA (Personal Digital Assistant), a mobile terminal, etc.
[0015] The medical information processing device 40 is a device that provides a treatment result corresponding to a treatment plan to a patient who requests a second opinion. The medical information processing device 40 is a workstation for displaying a patient's medical information, medical images, etc., as information related to the patient's medical care, on the display of the second operation terminal 60. The medical information processing device 40 will be described in detail later.
[0016] The second hospital information server 50 is, for example, an HIS server. The second hospital information server 50 has a medical database that accepts and manages requests for second opinions. The second hospital information server 50 is realized by a computer device such as a workstation. Since the second hospital information server 50 accepts requests for second opinions, it is a server different from the first hospital information server 10 and is a server managed by a medical institution different from the first hospital information server 10. A doctor who accepts a request for a second opinion accesses the second hospital information server 50.
[0017] The second operation terminal 60 is used by a user who is involved in a second opinion. For example, the user is a medical professional such as a doctor other than the attending physician. For example, the second operation terminal 60 includes a PC, a tablet PC, a PDA, a mobile terminal, and the like.
[0018] The electronic medical record system creates an electronic medical record that records patient information such as prescriptions, nursing records, and tests performed on the patient, and stores the electronic medical record in a memory circuit within the system. For example, the first hospital information server 10 and the medical information processing device 40 are incorporated in the electronic medical record system.
[0019] 2 is a block diagram showing an example of the configuration of a medical information processing device 40 according to an embodiment. The medical information processing device 40 includes a communication interface 41, a storage circuit 42, and a processing circuit 43. Note that the configuration of the medical information processing device 40 is not limited to this. The communication interface 41 is connected to the processing circuit 43, and controls the transmission and communication of various data between each device connected via a network. For example, the communication interface 11 is realized by a network card, a network adapter, a NIC (Network Interface Controller), or the like.
[0020] The memory circuitry 42 is connected to the processing circuitry 43 and stores various data. For example, the memory circuitry 42 stores first request information, the patient's request, the doctor's treatment policy, the patient's examination results, second request information, and the result of a request for a second opinion, which will be described later. The memory circuitry 42 also stores parameters and treatment result information, which will be described later. The memory circuitry 42 also stores various programs that the processing circuitry 43 reads out and executes to realize various functions. For example, the memory circuitry 42 is realized by a semiconductor memory element such as a random access memory (RAM) or a flash memory, a hard disk, an optical disk, or the like.
[0021] The processing circuitry 43 controls the operation of the entire medical information processing device 40. The processing circuitry 43 includes, for example, a first receiving function 431, a first acquiring function 432, a second acquiring function 433, a third acquiring function 434, a transmitting function 435, a second receiving function 436, an estimating function 437, a generating function 438, and an output function 439. In the embodiment, each processing function performed by the first receiving function 431, the first acquiring function 432, the second acquiring function 433, the third acquiring function 434, the transmitting function 435, the second receiving function 436, the estimating function 437, the generating function 438, and the output function 439 is stored in the storage circuitry 12 in the form of a program executable by a computer.
[0022] The processing circuitry 43 is a processor that realizes a function corresponding to each program by reading and executing the programs from the storage circuitry 42. In other words, the processing circuitry 43 in a state in which each program has been read has each function shown in the processing circuitry 43 in FIG.
[0023] 2, the first receiving function 431, the first acquiring function 432, the second acquiring function 433, the third acquiring function 434, the transmitting function 435, the second receiving function 436, the estimating function 437, the generating function 438, and the output function 439 are realized by a single processor, but the processing circuit 43 may be configured by combining a plurality of independent processors, and each processor may execute a program to realize the functions. Also, in FIG. 2, the single storage circuit such as the storage circuit 42 stores a program corresponding to each processing function, but the processing circuit 43 may be configured by distributing a plurality of storage circuits and reading out the corresponding programs from the individual storage circuits.
[0024] The term "processor" used in the above description refers to circuits such as a CPU (Central Processing Unit), a GPU (Graphical Processing Unit), or an Application Specific Integrated Circuit (ASIC), a programmable logic device (e.g., a Simple Programmable Logic Device (SPLD), a Complex Programmable Logic Device (CPLD), and a Field Programmable Gate Array (FPGA)).
[0025] The processor realizes its functions by reading and executing the programs stored in the memory circuitry 42. Note that instead of storing the programs in the memory circuitry 42, the programs may be directly built into the circuitry of the processor. In this case, the processor realizes its functions by reading and executing the programs built into the circuitry.
[0026] The first receiving function 431 receives first request information related to a request for a second opinion transmitted by the first operation terminal 30. The first receiving function 431 is an example of a first receiving unit. For example, when a patient who has undergone an examination obtains a second opinion by conducting SDM between the patient and the attending physician based on a treatment plan formulated by the attending physician who has diagnosed the examination results, the first receiving function 431 receives the first request information related to the request for a second opinion input by the patient. The first request information includes, for example, the above-mentioned patient information, information related to the attending physician who conducted the SDM, information related to the hospital to which the attending physician belongs, and the like.
[0027] The first acquisition function 432 acquires the patient's wishes. The first acquisition function 432 is an example of a first acquisition unit. The first acquisition function 432 acquires the patient's wishes corresponding to the patient information included in the first request information received by the first receiving function 431, for example. The patient's wishes include, for example, what the patient wants to be in the future when discussing a treatment plan with the attending physician in SDM, and the like (desires, desired state, etc.). The desired state (desire) is, for example, what kind of life the patient wants to live after treatment, etc.
[0028] The second acquisition function 433 acquires the treatment policy of the attending physician corresponding to the patient who has received the request for a second opinion. The second acquisition function 433 is an example of a second acquisition unit. The second acquisition function 433 acquires the treatment policy of the attending physician corresponding to the patient who has received the request for a second opinion from the first hospital information server 10, based on, for example, request information requested by the patient of the patient information included in the request information received by the first receiving function 431. The treatment policy of the attending physician is, for example, the content used in the discussion about the treatment policy with the attending physician in SDM.
[0029] The third acquisition function 434 acquires the examination results of the patient who has received the request for a second opinion. The third acquisition function 434 is an example of a third acquisition unit. The third acquisition function 434 acquires the examination results of the patient who has received the request for a second opinion from the image storage server 20 based on, for example, request information requested by the patient in the patient information included in the request information received by the first receiving function 431. The examination results are, for example, image data stored by the image storage server 20.
[0030] The sending function 435 sends second request information corresponding to the request for a second opinion to the second hospital information server 50 based on the first request information. The sending function 435 is an example of a sending unit. The second request information includes the first request information received by the first receiving function 431, the patient's request acquired by the first acquiring function 432, the doctor's treatment policy acquired by the second acquiring function 433, and the test results acquired by the third acquiring function 434.
[0031] The second receiving function 436 receives a request result for a second opinion based on the second request information. The second receiving function 436 is an example of a second receiving unit. For example, the second receiving function 436 receives a request result for a second opinion regarding a treatment plan that has been diagnosed and formulated by a doctor at a medical institution other than the attending physician based on the second request information.
[0032] Here, an example of a treatment plan will be described with reference to FIG. 3. FIG. 3 is a table showing an example of a treatment plan corresponding to a request result for a second opinion. In order to make the explanation more specific, an example will be described in which a patient who requested a second opinion suffered a meniscus injury. As shown in FIG. 3, the treatment of a meniscus injury is roughly divided into three treatment plans. Specifically, there are conservative treatment (treatment plan 1), meniscectomy by surgery (treatment plan 2) and meniscus suture (treatment plan 3). The treatment of a meniscus injury is usually determined based on the site and degree of the injury, the age of the patient, and the like. For example, as shown in FIG. 3, the treatment plan includes the contents of the treatment method, the age of the patient, the degree of the injury, the treatment contents, the rehabilitation period, the amount of exercise after the operation, side effects, and the like.
[0033] Returning to FIG. 2, the estimation function 437 estimates the progress state of the patient after treatment. The progress state of the patient after treatment corresponds to the result of the request for a second opinion. The estimation function 437 is, for example, an example of an estimation unit. Specifically, the estimation function 437 extracts parameters according to multiple treatment plans and estimates the progress state of the patient after treatment. Here, the parameters are parameters for generating treatment result information indicating multiple treatment results corresponding to multiple treatment plans based on the treatment plan of the second opinion request result, the patient's wishes, and the examination results.
[0034] For example, the estimation function 437 extracts parameters corresponding to image data after the progress of treatment when the patient is treated according to a corresponding treatment plan based on image data that is the current patient's examination result. Then, the estimation function 437 estimates the progress of the patient's progress after treatment based on the extracted parameters. The progress of the patient's progress after treatment may include, for example, information on the external characteristics of the patient after treatment.
[0035] The parameters are preset, for example, in a lookup table or the like, and stored in the memory circuitry 42. The lookup table includes image data corresponding to the treatment progress of other patients who have suffered from a similar disease in the past. The estimation function 437 estimates the progress state of the patient after treatment from the extracted parameters using known methods such as a method of morphing between image data, a method of interpolating by time distance, or a method of fitting (mapping) to a medical 3D atlas.
[0036] The generating function 438 generates treatment result information indicating a plurality of treatment results corresponding to the plurality of treatment plans based on the doctor's treatment plan, the subject's request, and the subject's test results. The generating function 438 is an example of a generating unit. Specifically, the generating function 438 generates treatment result information indicating a plurality of treatment results corresponding to the plurality of treatment plans, which corresponds to the progress state of the patient after treatment estimated by the estimating function 437.
[0037] Here, the treatment result information will be described with reference to FIG. 4. FIG. 4 is a schematic diagram showing an example of treatment result information according to an embodiment. The horizontal axis of FIG. 4 is the time axis. The treatment result information 51 shown in FIG. 4 includes changes in external physical characteristics of the subject in the future along a time series, corresponding to a plurality of treatment plans, based on the external physical characteristics of the subject at present. The treatment plan shown in FIG. 4 corresponds to the treatment plan shown in FIG. 3. The symbol R shown in FIG. 4 indicates the rehabilitation position of the patient.
[0038] 4 shows changes 52 in external physical characteristics of the subject's body in which, in the case of treatment plan 1, a drug treatment is performed, which requires a shorter rehabilitation period compared to treatment plans 2 and 3, but there is a risk of falling in the future due to rocking or the like. The treatment result information 51 also shows changes 53 in external physical characteristics of the subject's body in which, in the case of treatment plan 2, a surgery (meniscectomy) is performed, which requires a rehabilitation period, but there is a risk of the subject being more susceptible to osteoarthritis in the future. The treatment result information 51 also shows changes 54 in external physical characteristics of the subject's body in which, in the case of treatment plan 3, a surgery (meniscectomy) is performed, which requires a longer rehabilitation period compared to treatment plan 2, but there is a possibility of no side effects.
[0039] The change in the external characteristics of the subject's body is not limited to a still image, but may be a moving image or text. The change in the external characteristics of the subject's body may be, for example, a moving image in daily life (e.g., walking, climbing stairs, running, etc.) corresponding to a time axis. In addition, when the change in the external characteristics of the subject's body is shown in text, the content to be explained is shown in text corresponding to the moving image.
[0040] The external characteristics of the subject's body also include parts of the subject's body that affect the treatment result. For example, if a patient selects treatment using an anticancer drug, the patient may be affected by side effects such as hair loss. The generation function 438 generates changes in the external characteristics of the subject's body, including parts of the subject's body that have side effects that affect the treatment result, as changes in the external characteristics of the subject's body to be included in the treatment result information.
[0041] Returning to Fig. 2, the output function 439 outputs treatment result information. The output function 439 is an example of an output unit. The output function 439 outputs the treatment result information generated by the generation function 438 to the second operation terminal 60. A doctor who formulates the request for a second opinion and is different from the attending doctor explains the treatment result information output to the second operation terminal 60 to the patient who requested the second opinion.
[0042] The choice of treatment method also depends on the patient's requests regarding the recovery period, the level of rehabilitation, and the intensity of exercise after recovery. The doctor will present possible treatment methods according to the patient's condition, specifically, the patient's constitution, medical condition, age, etc. The patient who requests a second opinion will receive an explanation from the doctor and select the treatment plan they wish to follow.
[0043] For example, if a patient in his / her 60s who wants to continue playing tennis is unsure of which treatment to choose, the doctor will explain the patient's condition after treatment using the treatment result information output by the output function 439. If the patient wants to continue playing tennis but wants to avoid taking anti-inflammatory drugs during conservative treatment and post-operative rehabilitation, the doctor may decide that light tennis is sufficient, and in light of the information that meniscal suture surgery is unlikely to result in recovery given the patient's age, he / she may select meniscal resection (treatment plan 2).
[0044] This allows the patient to select a treatment method that the patient is satisfied with by carrying out SDM with the doctor while checking the treatment result information. The output function 439 may output the treatment result information generated by the generation function 438 to the first hospital information server 10 so that the attending doctor can check the treatment result information.
[0045] Fig. 5 is a flowchart showing an example of a flow of processing executed by the medical information processing device 40 according to the embodiment. In Fig. 5, it is assumed that the patient who has discussed SDM with his / her doctor starts after transmitting first request information regarding a request for a second opinion to the medical information processing device 40 using the first operation terminal 30.
[0046] The first receiving function 431 of the processing circuit 43 receives the first request information regarding the request for a second opinion transmitted by the first operation terminal 30 (step S61). Then, the first acquiring function 432 of the processing circuit 43 acquires the patient's request (step S62). Then, the second acquiring function 433 of the processing circuit 43 acquires the treatment policy of the attending physician corresponding to the patient who has received the request for a second opinion (step S63).
[0047] Next, the third acquisition function 434 of the processing circuit 43 acquires the test results of the patient who has received the request for a second opinion (step S64). Next, the transmission function 435 of the processing circuit 43 transmits second request information corresponding to the request for a second opinion to the second hospital information server 50 based on the first request information (step S65). Next, the second reception function 436 of the processing circuit 43 receives the request result for the second opinion based on the second request information (step S66).
[0048] Next, the estimation function 437 of the processing circuit 43 estimates the progress status of the patient after treatment corresponding to the result of the request for a second opinion (step S67). Next, the generation function 438 generates treatment result information indicating multiple treatment results corresponding to multiple treatment plans, which corresponds to the progress status of the patient after treatment estimated by the estimation function 437 (step S68). Next, the output function 439 of the processing circuit 43 outputs the treatment result information (step S69). When step S69 ends, the processing of the processing circuit 43 ends.
[0049] As described above, the medical information processing device 40 according to the embodiment generates and outputs treatment result information indicating multiple future treatment results corresponding to multiple treatment plans based on the subject's current disease, multiple treatment plans corresponding to the disease, and the subject's requests.
[0050] According to at least one of the above-described embodiments, for example, a subject who has requested a second opinion can carry out SDM with a doctor using treatment result information generated based on the subject's current illness, multiple second opinion treatment plans corresponding to the illness, and the subject's request. In addition, since the treatment result information includes changes in external physical characteristics after the course of treatment when the patient receives treatment, the patient can visualize the effects of the treatment more clearly for the treatment results that better correspond to the treatment plan. This allows the subject to select a treatment plan that the subject is more satisfied with, and the subject can select a reasonable QOL (Quality Of Life).
[0051] The above-described embodiment can be modified as appropriate by changing a part of the configuration or function of each device. Therefore, some modifications of the above-described embodiment will be described below as other embodiments. The following mainly describes the differences from the above-described embodiment, and the same reference numerals will be used to denote the common points with the contents already described, and detailed description will be omitted. The other embodiments described below may be implemented individually or in appropriate combination.
[0052] (First Modification) In the above embodiment, the output function 439 of the processing circuitry 43 outputs the treatment result information to the second operation terminal 60, but the present invention is not limited to this. For example, the output function 439 may output the treatment result information to an AR (Augmented Reality) display device so that the patient can have a simulated experience.
[0053] Furthermore, the output function 439 may not only output the change in appearance in AR, but also output it on the metaverse. By outputting on the metaverse by the output function 439, for example, a patient can wear an avatar in a state in which motor function (including information on the five senses) expected after treatment is restricted, move the avatar on the metaverse, and select a treatment plan. In addition, the restriction of the avatar's motor function is performed, for example, using an orthosis or a sensory presentation device such as a haptic device that is actually worn by the patient. Furthermore, the output function 439 may output a side effect state according to each treatment plan in advance to the orthosis or sensory presentation device.
[0054] The output function 439 may also output the external physical characteristics of the subject's body in the future, which will be included in the treatment result information, based on the priority order corresponding to the treatment plan desired by the subject. This allows the doctor to explain the treatment result information to the patient based on the priority order of the treatment plan desired by the subject.
[0055] (Second Modification) For example, the medical information processing device may notify the attending physician if a patient starts treatment after a treatment plan has been determined and the treatment state during the treatment process deviates from a predicted treatment state.
[0056] 6 is a block diagram showing an example of the configuration of a medical information processing device 401 according to the second modification. The processing circuitry 430 of the medical information processing device 401 according to the second modification includes, for example, a first receiving function 431, a first acquiring function 432, a second acquiring function 433, a third acquiring function 434, a transmitting function 435, a second receiving function 436, an estimating function 437, a generating function 438, an output function 439, and a determining function 440.
[0057] The determination function 440 determines whether there is any deviation in the treatment result information corresponding to the selected treatment plan. The determination function 440 is, for example, an example of a determination unit. Specifically, the determination function 440 determines whether there is any deviation between the change in external features included in the treatment result information corresponding to the treatment plan selected at the start of treatment and the change in external features at the current time. A state in which there is a deviation is a state in which there is no change or a state in which the disease is worsening, etc., compared to the change in the external features in the future.
[0058] When the determination function 440 determines that there is a discrepancy in the treatment result information corresponding to the selected treatment policy, the output function 439 outputs the treatment result information including the state of discrepancy. Specifically, the output function 439 outputs the treatment result information output at the time of treatment confirmation together with the treatment result information at the current time. Here, the treatment result information including the state of discrepancy will be described with reference to FIG. 7. FIG. 7 is a schematic diagram showing an example of treatment result information according to the second modified example.
[0059] The horizontal axis in Fig. 7 is the time axis. Treatment result information 55 shown in Fig. 7 includes a selected treatment plan based on the current external features of the subject's body as a reference, and a change in the external features of the subject's body in the future along a time series corresponding to the current treatment progress. Treatment plan 3 shown in Fig. 7 corresponds to treatment plan 3 shown in Fig. 3 and Fig. 4. Symbol R in Fig. 7 indicates the rehabilitation position of the patient.
[0060] 7 shows a change 54 in external characteristics of the subject's body corresponding to the selected treatment plan 3, and a change 56 in external characteristics of the subject's body corresponding to the current treatment progress. It is assumed that the patient selects treatment plan 3 and continues rehabilitation, but is recovering slowly from treatment due to, for example, intense exercise in an incomplete condition. In this case, the determination function 440 of the processing circuitry 430 of the medical information processing device 401 determines that there is a deviation in the treatment result information corresponding to the selected treatment plan, and the output function 439 outputs the treatment result information including the state of deviation.
[0061] In the follow-up after treatment, the doctor will inform the patient that the progress of the treatment is not ideal, check the rehabilitation and medication status, etc., and provide guidance. In addition, the doctor will check the patient's real-time rehabilitation status through AR and the metaverse, and advise them not to overdo the exercise. By doing this, if the patient is not approaching the treatment results they desire, we can communicate areas for improvement to the patient and provide rehabilitation guidance.
[0062] In addition, each component of each device illustrated in the present embodiment is a functional concept, and does not necessarily have to be physically configured as illustrated. In other words, the specific form of distribution and integration of each device is not limited to that illustrated, and all or a part of them can be functionally or physically distributed and integrated in any unit according to various loads and usage conditions. Furthermore, each processing function performed by each device can be realized in whole or in any part by a CPU and a program analyzed and executed by the CPU, or can be realized as hardware using wired logic.
[0063] When the technical idea of the present embodiment is realized in a medical information processing method, the medical information processing method generates treatment result information indicating a plurality of future treatment results corresponding to a plurality of treatment plans based on the subject's current disease, the plurality of treatment plans corresponding to the disease, and the subject's request, and outputs the treatment result information. The processing procedure and effects of the medical information processing method are the same as those of the embodiment, and therefore the description will be omitted.
[0064] The method described in this embodiment can be realized by executing a prepared program on a computer such as a personal computer or a workstation. This program can be distributed via a network such as the Internet. This program can also be recorded on a non-transitory computer-readable recording medium such as a hard disk, a flexible disk (FD), a CD-ROM, an MO, or a DVD, and executed by being read from the recording medium by a computer.
[0065] According to at least one of the embodiments described above, it is possible to provide a patient with a treatment result corresponding to a treatment plan.
[0066] Although some embodiments have been described, these embodiments are presented as examples and are not intended to limit the scope of the invention. These embodiments can be implemented in various other forms, and various omissions, substitutions, modifications, and combinations of embodiments can be made without departing from the spirit of the invention. These embodiments and their modifications are included in the scope of the invention and its equivalents as described in the claims, as well as in the scope and spirit of the invention. [Explanation of symbols]
[0067] 10. First Hospital Information Server 20 Image storage server 30 First operation terminal 40 Medical information processing device 41 Communication Interface 42 Memory circuit 43 Processing circuit 50 Second Hospital Information Server 60 Second operation terminal 100 Medical Information Processing System 431 First Receiving Function 432 First Acquisition Function 433 Second Acquisition Function 434 Third Acquisition Function 435 Sending Function 436 Second Receiving Function 437 Estimation Function 438 Generation function 439 Output Function 440 Judgment Function
Claims
1. a generating unit that generates treatment result information indicating a plurality of future treatment results corresponding to a plurality of treatment plans based on a current disease of a subject, a plurality of treatment plans corresponding to the disease, and a request of the subject; an output unit that outputs the treatment result information; A medical information processing device comprising:
2. The treatment result information includes a change in external physical characteristics of the subject in the future along a time series, which corresponds to the plurality of treatment plans, based on the external physical characteristics of the subject at present. The medical information processing device according to claim 1 .
3. The external characteristics of the subject's body include a plurality of parts of the subject's body that affect the treatment outcome. The medical information processing device according to claim 2 .
4. the output unit outputs the external physical characteristics of the subject in the future, which are to be included in the treatment result information, based on a priority order corresponding to a treatment policy desired by the subject. The medical information processing device according to claim 1 .
5. a generating unit that generates treatment result information indicating a plurality of future treatment results corresponding to a plurality of treatment plans based on a current disease of a subject, a plurality of treatment plans corresponding to the disease, and a request of the subject; an output unit that outputs the treatment result information; A medical information processing system comprising:
6. generating treatment result information indicating a plurality of future treatment results corresponding to the plurality of treatment plans based on a current disease of the subject, a plurality of treatment plans corresponding to the disease, and a request of the subject; Outputting the treatment result information. A medical information processing method comprising:
Citation Information
Patent Citations
Smartphone device on which avatar is displayed and health management system
JP2017204206A