Medical resource management system, medical resource management method, and medical resource management program

Abstract

Providing new technologies for managing physician skills. [Solution] A medical resource management system for managing medical resources, The medical resource management system includes a storage unit, an acquisition unit, and a generation unit, the storage unit stores disease information relating to diseases in a hierarchical structure; the acquiring unit acquires medical skill information relating to medical skills of doctors for each hierarchical level in the hierarchical structure; The generation unit generates hierarchically structured doctor skill map information based on the disease information and the medical skill information.

Description

[Technical Field]

[0001] The present invention relates to a medical resource management system, a medical resource management method, and a medical resource management program. [Background technology]

[0002] Conventionally, there exists a technique for calculating medical supplies as medical resources.

[0003] For example, Patent Document 1 discloses a technology for calculating the types and quantities of medical supplies in a region. [Prior art documents] [Patent documents]

[0004] [Patent Document 1] Japanese Patent Publication No. 2022-063064 Summary of the Invention [Problem to be solved by the invention]

[0005] However, even if there are sufficient medical supplies, if the doctors who use them do not have the skills, the medical supplies are as good as nonexistent. However, while the technology in Patent Document 1 can calculate the type and quantity of medical supplies, it cannot manage the skills of doctors as a medical resource.

[0006] The present invention has been made in view of the above-mentioned circumstances, and an object to be achieved is to provide a new technique for managing the skills of doctors. [Means for solving the problem]

[0007] [1] A medical resource management system for managing medical resources, The medical resource management system includes a storage unit, an acquisition unit, and a generation unit, the storage unit stores disease information relating to diseases in a hierarchical structure; the acquiring unit acquires medical skill information relating to medical skills of doctors for each hierarchical level in the hierarchical structure; the generation unit generates hierarchically structured doctor skill map information based on the disease information and the medical skill information; Healthcare resource management system.

[0008] [8] A medical resource management method executed by a medical resource management system that manages medical resources, The medical resource management system includes a storage unit, an acquisition unit, and a generation unit, a step in which the storage unit stores disease information relating to diseases in a hierarchical structure; the acquiring unit acquiring medical skill information regarding medical skills of doctors for each hierarchical level in the hierarchical structure; The generating unit generates hierarchically structured doctor skill map information based on the disease information and the medical skill information. Healthcare resource management methods.

[0009] [9] A health care resource management program for managing health care resources, A computer is configured to function as a storage unit, an acquisition unit, and a generation unit; the storage unit stores disease information relating to diseases in a hierarchical structure; the acquiring unit acquires medical skill information relating to medical skills of doctors for each hierarchical level in the hierarchical structure; the generation unit generates hierarchically structured doctor skill map information based on the disease information and the medical skill information; Health Resource Management Program.

[0010] Such a configuration makes it possible to generate a hierarchical structure of doctor skills, and to manage doctor skills at different levels of granularity.

[0011] [2] The disease information includes individual disease information on individual diseases, disease area information on disease areas to which the individual diseases belong, and medical department information on medical departments that treat the disease areas; The medical skill information includes examination skills, examination skills, and treatment skills for the individual disease information, the disease area information, and the medical department information. [1] The medical resource management system described in [1].

[0012] Such a configuration makes it possible to manage multiple skills for different granularity levels, allowing for more detailed management of doctors' skills.

[0013] [3] The generation unit calculates a skill value of a different level from the level information in the medical skill information based on the level information, and generates the skill map information. [1] or [2], the medical resource management system.

[0014] By configuring in this way, it becomes possible to calculate skill values ​​at a higher or lower level than the level to which certain medical skill information belongs, and it is possible to manage doctors' skills even if all medical skill information is not available.

[0015] [4] The medical resource management system includes a display processing unit, the generation unit, when information in the medical skill information is insufficient, calculates a skill value based on information similar to the insufficient information and generates the skill map information; The display processing unit displays a skill map that can distinguish between skill values ​​calculated based on the similar information, based on the skill map information. A medical resource management system according to any one of [1] to [3].

[0016] By using this configuration, it becomes possible to distinguishably display skill values ​​calculated based on missing medical skill information, thereby enabling management of the accuracy and reliability of a doctor's skills.

[0017] [5] The medical resource management system includes a prediction unit and an analysis unit, the storage unit stores an incidence rate for each disease, The prediction unit predicts the number of patients suffering from a disease in a certain area, The analysis unit analyzes skill map information of doctors belonging to the certain area and the number of patients. A medical resource management system according to any one of [1] to [4].

[0018] This configuration makes it possible to predict the number of patients with a disease in a certain area, and manage the difference (surplus or shortage) in future medical resources based on the predicted number of patients.

[0019] [6] The medical resource management system includes a determination unit, the storage unit stores a threshold value for determining whether the doctor can treat the disease; The determination unit determines whether a doctor belonging to the certain area can treat the disease based on the skill map information and the threshold value; The analysis unit analyzes the number of doctors who can treat the disease and the number of patients based on the result of the determination. [5] The medical resource management system described in [5].

[0020] By configuring in this way, it becomes possible to use the doctor's skills to determine whether the doctor is capable of treating the disease, and it becomes possible to manage the difference in medical resources more accurately using the doctor's skills.

[0021] [7] The analysis unit analyzes the working hours calculated from the doctors who can treat the disease and the time required to treat the patients with the disease based on the result of the determination. [6] The medical resource management system described in [6].

[0022] This configuration makes it possible to manage the difference in medical resources more accurately by analyzing the working hours of doctors and the time required to treat patients. [Effects of the Invention]

[0023] According to the present invention, a new technique for managing the skills of doctors can be provided. [Brief explanation of the drawings]

[0024] [Figure 1] 1 is a block diagram showing the configuration of a medical resource management system according to an embodiment of the present invention. [Figure 2] FIG. 2 is a diagram showing the hardware configuration according to the present embodiment. [Figure 3] FIG. 2 is a block diagram showing functional components in the present embodiment. [Figure 4] 3 shows an example of a data configuration stored in a storage unit in this embodiment. [Figure 5] 3 shows an example of a data configuration stored in a storage unit in this embodiment. [Figure 6] 3 shows an example of a data configuration stored in a storage unit in this embodiment. [Figure 7] 10 is a flowchart of a process for generating skill map information of a doctor according to the present embodiment. [Figure 8] 10 is an example of a skill map of a doctor in this embodiment. DETAILED DESCRIPTION OF THE INVENTION

[0025] The medical resource management system of the present invention will be described below with reference to the accompanying drawings, in which preferred embodiments are shown. However, the present invention may be embodied in many different forms and is not limited to the embodiments set forth herein.

[0026] For example, although the configuration, operation, etc. of the medical resource management system will be described in this embodiment, similar effects can be achieved by the executed methods (steps), devices, computer programs, etc. The program in this embodiment may be provided as a non-transitory computer-readable recording medium, or may be provided so as to be downloadable from an external server, or the program may be started on an external computer to implement its functions on a client terminal (so-called cloud computing).

[0027] In addition, in this embodiment, the term "unit" may include, for example, a combination of hardware resources implemented by a circuit in the broad sense and software information processing that can be specifically realized by these hardware resources. In this embodiment, "information" is represented by, for example, the physical value of a signal value representing voltage or current, the high or low value of a signal value as a binary bit set consisting of 0 or 1, or quantum superposition (so-called quantum bits), and communication and calculation can be performed on a circuit in the broad sense.

[0028] A circuit in the broad sense is a circuit realized by appropriately combining a circuit, circuitry, processor, memory, etc. That is, it includes a CPU (Central Processing Unit), a GPU (Graphics Processing Unit), an LSI (Large Scale Integration), an ASIC (Application Specific Integrated Circuit), an FPGA (Field-Programmable Gate Array), etc.

[0029] The skill map of the present invention may be any map that can visualize all of the medical skills of doctors at all levels. Specifically, it may be possible to visualize the medical skills of doctors at each level in stages.

[0030] For example, when a doctor's medical skills are visualized for only a certain level (medical department), by inputting information specifying that level (specific medical department), the doctor's medical skills for the lower level (disease area) linked to that level (specific medical department) can be visualized.

[0031] In addition, the skill map of the present invention may visualize all of the medical skills of doctors for multiple levels at the same time.

[0032] <System Overview> Fig. 1 is a block diagram showing the configuration of a medical resource management system according to this embodiment. As shown in Fig. 1, the medical resource management system 0 includes a medical resource management device 1 and a user terminal 2. The medical resource management device 1 is configured to be able to communicate with the user terminal 2 via a network NW. The medical resource management device 1 operates as a server, and the user terminal 2 operates as a client terminal.

[0033] The medical resource management device 1 receives medical skill information and the like related to the doctors' own medical skills from the user terminal 2. The medical resource management device 1 may also acquire, as medical skill information, the results of training courses taken by the doctors, such as online training. The medical resource management device 1 generates skill map information based on the acquired medical skill information.

[0034] A general-purpose server computer, a personal computer, etc. can be used as the medical resource management device 1. It is also possible to configure the medical resource management device 1 using multiple computers.

[0035] The user terminal 2 is a terminal for doctors to input medical skill information about their own medical skills. The user terminal 2 can be a terminal device such as a smartphone, tablet terminal, or personal computer. There may be one or more user terminals 2.

[0036] In this embodiment, the network NW is an IP (Internet Protocol) network, but there is no limitation on the type of communication protocol, and there is also no limitation on the type and scale of the network.

[0037] <Hardware configuration> Fig. 2 is a hardware configuration diagram. As shown in Fig. 2(a), the information processing device 10 (medical resource management device 1) has a control unit 101, a storage unit 102, and a communication unit 103, which are used to perform the functions of each unit and each process.

[0038] The control unit 101 includes one or more processors such as a CPU (Central Processing Unit), and controls the overall operation and processing of the information processing device 10 by executing the medical resource management program of the present invention, an OS (Operating System), browser software, and other applications.

[0039] The storage unit 102 is a hard disk drive (HDD), a solid state drive (SSD), a read only memory (ROM), a random access memory (RAM), etc., and stores the medical resource management program according to the present invention and data used when the control unit 101 executes processing based on the program. The control unit 101 executes processing based on the medical resource management program stored in the storage unit 102, thereby realizing the functional configuration described below.

[0040] The communication unit 103 controls communication with the network NW, and performs input necessary for operating the information processing device 10 and output related to the operation results.

[0041] As shown in FIG. 2(b), the terminal device 9 (user terminal 2) has a control unit 91, a storage unit 92, a communication unit 93, an input unit 94, and an output unit 95, and is used to perform the functions of each unit and each process.

[0042] The control unit 91 of the terminal device 9 includes one or more processors such as a CPU, and controls the overall operation and processing of the terminal device 9. The storage unit 92 of the terminal device 9 is an HDD, SSD, ROM, RAM, or the like, and stores the above-mentioned applications and data used when the control unit 91 executes processing based on a program.

[0043] A communication unit 93 of the terminal device 9 controls communication with the network NW. An input unit 94 of the terminal device 9 is a mouse, keyboard, etc., and inputs operation requests from the user / provider to the control unit 91. An output unit 95 of the terminal device 9 is a display, etc., and displays the results of processing by the control unit 91, etc.

[0044] <Functional components> As shown in FIG. 3, the medical resource management device 1 includes an acquisition unit 11, a generation unit 12, a display processing unit 13, a prediction unit 14, a determination unit 15, and an analysis unit 16.

[0045] The arrangement of these functional components is one example, and it is also possible to implement these functional components on multiple computers to configure the medical resource management system 0. For example, part of the functional components of the medical resource management device 1 may be arranged in the user terminal 2 and one or more devices configured to be able to communicate with the medical resource management device 1. Similarly, part of the functional components of the user terminal 2 may be arranged in one or more devices configured to be able to communicate with the medical resource management device 1 and the user terminal 2.

[0046] <Data structure> 4 to 6 show examples of data configurations stored in the storage unit in this embodiment. The storage unit of the medical resources management device 1 stores disease information (medical department information, disease area information, individual disease information), doctor information, evaluation item information, skill item information, medical skill information, skill map information, etc.

[0047] The arrangement of each piece of data is an example, and some or all of the data stored in the memory unit of the medical resource management device 1 may be stored in the user terminal 2, or one or more devices configured to be able to communicate with the medical resource management device 1. Similarly, some or all of the data stored in the memory unit of the user terminal 2 may be stored in one or more devices configured to be able to communicate with the medical resource management device 1, or user terminal 2.

[0048] Disease information is information related to a disease. Disease information includes individual disease information about an individual disease, the disease area to which the individual disease belongs, and medical department information about the medical department that treats the disease area that includes the disease. As shown in Figures 4(a) to 4(c), by linking multiple individual area IDs to a disease area ID and linking multiple disease area IDs to a medical department ID, the disease information can be organized into a hierarchical structure.

[0049] Department information is information related to medical departments. As shown in Figure 4(a), department information includes the name of the medical department and is managed by a department ID for each department. There are 19 possible medical departments, which are the basic areas of the new specialist system. In addition to these, 29 subspecialty areas that are more specialized than the basic areas may also be used as medical departments. Other divisions that may be newly established may also be used.

[0050] Disease area information is information about the disease area treated by a medical department. As shown in Figure 4(b), disease area information includes the name of the disease area and the medical department ID, and is managed by the disease area ID. Disease area information is linked to the medical department ID of the medical department that should treat that disease area.

[0051] Individual disease information is information about an individual disease. As shown in Figure 4(c), individual disease information includes the name of an individual disease and a disease area ID, and is managed by the individual disease ID. Individual disease information is linked to the disease area ID to which the individual disease belongs.

[0052] Disease areas and individual diseases may be classified in accordance with the International Statistical Classification of Diseases and Related Health Problems (ICD).

[0053] Doctor information is information about doctors who manage their skills. As shown in Figure 4(d), doctor information includes the doctor's name, gender, age, affiliated institution, etc., and is managed by doctor ID.

[0054] The evaluation item information is an item that is evaluated to manage the skills of doctors. As shown in FIG. 5(e), the evaluation item information includes evaluation items, evaluation criteria, scores, etc., and is managed by evaluation item ID. It is preferable that the upper score limit for each evaluation item is the same for all evaluation items. The upper score limit and the scores for the evaluation criteria can be set as appropriate.

[0055] Skill item information is information about the skill items of the doctors being managed. As shown in Figure 5(f), skill item information includes skill items and evaluation item IDs, and is managed by skill item ID. Skill items are the skills of the doctors being managed, and can be calculated based on the associated evaluation items.

[0056] In this way, for example, the skill item "examination skills" can be calculated based on the points for the evaluation item IDs "EI01, EI02, EI03, EI04, EI05, EI08, . . . ".

[0057] Medical skill information is information about a doctor's medical skills. As shown in Figure 6(g), medical skill information includes disease information, evaluation item IDs, and scores, and is managed by doctor ID. This makes it possible to refer to the scores of evaluation items related to a doctor's disease information.

[0058] For example, it can be seen that the score for the evaluation item ID "EI01" (length of service) in the disease information "CD06" (orthopedics) of the doctor with doctor ID "D0002" is 4 points.

[0059] Skill map information is information for managing (e.g., visualizing) doctor skills. As shown in Figure 5(h), skill map information includes disease information, skill item IDs, and skill values, and is managed by doctor ID. In this way, it is possible to refer to skill values ​​that visualize the skills of skill items related to a doctor's disease information.

[0060] For example, the skill (skill value) related to the skill item ID "SI01" (medical treatment skill) in the disease information "DA174" (facial bone fracture) of the doctor with the doctor ID "D0003" can be referenced.

[0061] Since the doctor ID is linked to a score for the evaluation item ID in the disease information, and the skill item ID is linked to the evaluation item ID required to manage (calculate) the skill value, it is possible to calculate the skill value for the skill item ID in a doctor's disease information.

[0062] <Processing flowchart> FIG. 7 is a flowchart of a process for generating skill map information of a doctor in this embodiment.

[0063] <Acquisition of medical skill information> In step S701, the acquisition unit 11 acquires medical skill information related to the medical skills of doctors for each (different granularity) layer in the hierarchical structure (medical department, disease area, individual disease). The acquisition unit 11 acquires medical skill information including examination skills, testing skills, and treatment skills for the medical department, disease area, and individual disease.

[0064] The acquisition unit 11 can acquire medical skill information related to skill items by acquiring information related to evaluation items for medical departments, disease areas, and individual diseases. For example, the acquisition unit 11 acquires scores related to evaluation items for medical departments, disease areas, and individual diseases as medical skill information.

[0065] The acquiring unit 11 may also acquire, as medical skill information, information for calculating a score for a medical skill using evaluation item information such as that shown in Fig. 5(e). For example, the acquiring unit 11 may acquire the doctor's working period in orthopedic surgery and calculate the score based on that information.

[0066] Furthermore, the acquisition unit 11 may acquire input from the doctor as medical skill information via the user terminal 2. For example, the acquisition unit 11 may acquire a score as input from the doctor via the user terminal 2. Furthermore, the acquisition unit 11 may acquire information for calculating a score as input from the doctor via the user terminal 2.

[0067] In addition, the acquisition unit 11 may acquire the results (grades) of training (contents) that the doctor has taken online or other means as medical skill information. By using the scores for the evaluation items in the medical department, disease area, and individual disease, it is possible to generate skill map information of the doctor for the medical department, disease area, and individual disease.

[0068] <Generating skill map information> In step S702, the generation unit 12 generates hierarchical doctor skill map information based on the disease information and medical skill information. The generation unit 12 calculates the doctor's skill values ​​for medical departments, disease areas, and individual diseases, and generates hierarchical doctor skill map information including medical departments, disease areas, and individual diseases.

[0069] The individual disease ID "KD1744" (disease information) in the medical skill information in Figure 6(g) is linked to the disease area ID "DA174" (Figure 4(c)), and furthermore, the disease area ID "DA174" is linked to the medical department ID "CD17" (Figure 4(b)). Therefore, the doctor's skill value for the medical department, disease area, and individual disease can be calculated using the scores of the evaluation items for the individual disease.

[0070] The generation unit 12 calculates the skill value of the doctor for each skill item of the medical department, disease area, and individual disease. The generation unit 12 calculates the skill value of the doctor for the examination skill, examination skill, and treatment skill for each medical department, disease area, and individual disease.

[0071] By linking each skill item with an evaluation item ID for calculating a skill value (Figure 5(f)), the generation unit 12 can obtain scores for the evaluation items for the disease information and calculate the skill value for each skill item.

[0072] The generation unit 12 calculates the skill value of the doctor for each skill item of the disease information, for example, using formula (1). For example, when calculating the skill value of the treatment skill for maxillary fracture (individual disease ID "KD1745") of doctor ID "D0002", the generation unit 12 reads out the evaluation items linked to the skill item "treatment skill" from the skill item information such as in Fig. 5(f), and further calculates the skill value using the scores of the read evaluation items for the disease information "KD1745" of doctor ID "D0002" from the medical skill information such as in Fig. 6(g).

[0073]

number

[0074] The generation unit 12 calculates skill values ​​for a different hierarchy based on the hierarchy information in the medical skill information, and generates skill map information. Specifically, the generation unit 12 calculates the skill value for a certain hierarchy using scores of evaluation items for hierarchies higher and / or lower than the certain hierarchy. For example, the generation unit 12 calculates the skill value for a disease area using scores of evaluation items for a medical department, which is a higher hierarchy than the disease area, and / or for an individual disease, which is a lower hierarchy.

[0075] To calculate the skill value for a disease area, the generation unit 12 may calculate the skill value using the scores of evaluation items for individual diseases that are lower in level than the disease area. For example, to calculate the skill value for a certain doctor's disease area ID "DA174", the generation unit 12 calculates the skill value using the scores of evaluation items for the doctor's individual disease IDs "KD1744", "KD1745", and "KD1746".

[0076] If the scores for the evaluation item ID "EI02" of a certain doctor's individual disease IDs "KD1744," "KD1745," and "KD1746" are 3 points, 4 points, and 2 points, respectively, the generation unit 12 may use these scores to calculate the score for the evaluation item ID "EI02" of the disease area ID "DA174."

[0077] Specifically, the generation unit 12 may calculate the score for the evaluation item ID "EI02" of the disease area ID "DA174" as 3 points ((3+4+2) / 3), which is the average of the individual scores. Alternatively, the generation unit 12 may use the average of the numerical values ​​(such as the number of experienced cases) used to determine the score for the evaluation item.

[0078] Alternatively, the generation unit 12 may calculate scores for higher hierarchical levels by weighting the frequency of occurrence of each individual disease in clinical practice. The generation unit 12 calculates the frequency of occurrence of each individual disease using statistical data and information from papers. For example, if the frequencies of the individual disease IDs "KD1744," "KD1745," and "KD1746" are 30%, 40%, and 30%, respectively, the generation unit 12 may calculate a score of 3.1 points (3 x 0.3 + 4 x 0.4 + 2 x 0.3) for the evaluation item ID "EI02" for the disease area ID "DA174."

[0079] In addition, to calculate the skill value of an individual disease, the generation unit 12 may calculate the skill value using the scores of evaluation items for disease areas that are higher in rank than the individual disease. Some doctors do not store the number of cases they have experienced for each individual disease, but may store a rough number of cases they have experienced in the disease area "facial bone fracture."

[0080] In this case, the scores for the evaluation item ID "EI02" for each of the individual disease IDs "KD1744," "KD1745," and "KD1746" are not stored in the memory, but the score for the evaluation item ID "EI02" for the disease area ID "DA174" may be stored.

[0081] For example, if the evaluation item ID "EI02" for the disease area ID "DA174" is 3 points, the evaluation item ID "EI02" for the individual disease IDs "KD1744," "KD1745," and "KD1746" could each be given a score of 3 points.

[0082] Furthermore, if some of the medical skill information is missing, the generation unit 12 calculates a skill value based on the acquired information excluding that part of the information, and generates skill map information. Specifically, the generation unit 12 calculates the skill value of a skill item even if the scores of all of the evaluation items used to calculate the skill value of the skill item are not included in the medical skill information such as that shown in FIG. 6(g). In other words, the generation unit 12 may calculate a skill value from only some of the evaluation items linked to the skill item.

[0083] For example, when calculating the skill value of the treatment skill for maxillary fracture (individual disease ID "KD1745") for doctor ID "D0002", the scores for evaluation item IDs "EI01, EI02, EI03, EI06, EI07, EI08, ..." for maxillary fracture for doctor ID "D0002" are required.

[0084] On the other hand, if the storage unit stores only the scores for the evaluation item IDs "EI01, EI02, EI03" for the maxillary fracture of doctor ID "D0002," the generation unit 12 calculates the skill value from only those scores. If the generation unit 12 calculates the skill value from only some of the evaluation items, it may store skill map information including information that can identify this in the storage unit.

[0085] For example, the generation unit 12 calculates the skill value according to the number of points of the evaluation items stored in the storage unit, as shown in equations (2) to (4).

[0086]

number

[0087] Furthermore, when information in the medical skill information is insufficient, the generation unit 12 calculates a skill value based on information similar to the missing information and generates the skill map information. Specifically, when there is no information on the score of an evaluation item for certain disease information, the generation unit 12 may calculate a skill value using similar information (e.g., information on an evaluation item for a different disease information). For example, the medical departments "dermatology" and "plastic surgery" can diagnose the individual disease "atheroma."

[0088] Therefore, even if there is no score for an evaluation item for the individual disease "sebaceous cyst" belonging to the medical department "dermatology," there may be a score for an evaluation item for the individual disease "sebaceous cyst" belonging to the medical department "plastic surgery."

[0089] In this case, the generation unit 12 may use the scores of the evaluation items for the individual disease "atheroma" belonging to the medical department "plastic surgery" to calculate the skill value for the individual disease "atheroma" belonging to the medical department "dermatology." When the generation unit 12 calculates the skill value using similar information (similar data), the generation unit 12 may store skill map information including information that can identify that fact in the storage unit.

[0090] <Skill map display processing> In step S703, the display processing unit 13 performs processing to display a skill map based on the skill map information. Fig. 8 is an example of a skill map of a doctor in this embodiment. The skill map visualizes the doctor's skills, and the display processing unit 13 performs processing to display a skill map including skill values ​​of examination skills, examination skills, and treatment skills for individual diseases, disease areas, and medical departments, as shown in Fig. 8(a).

[0091] When the display processing unit 13 receives a designation of a disease area or a medical department, it performs a display process of the skill values ​​of the lower hierarchy linked to the disease area or medical department whose designation has been received.

[0092] For example, the display processing unit 13 displays the skill value of the skill for the medical department as shown in W81a in Fig. 8(a). Furthermore, when the display processing unit 13 receives a designation of plastic surgery (a specific medical department) as shown in W82a in Fig. 8(a), it displays the skill value of the skill for the disease area linked to the medical department that received the designation as shown in W83a in Fig. 8(a).

[0093] When the display processing unit 13 receives a specification of a specific medical department such as W82a in Figure 8(a), it may simultaneously display the skill value of the skill for the medical department such as W81a in Figure 8(a) and the skill value of the skill for the disease area such as W83a in Figure 8(a).

[0094] In addition, when the display processing unit 13 receives a specification of a facial bone fracture (specific disease area) such as W84a in Figure 8(a), it displays the skill value of the skill for the individual disease linked to the disease area for which the specification such as W85a in Figure 8(a) was received.

[0095] When the display processing unit 13 receives a specification of a specific disease area such as W84a in Figure 8(a), it may simultaneously display the skill value of the skill for the medical department such as W81a in Figure 8(a), the skill value of the skill for the disease area such as W83a in Figure 8(a), and the skill value of the skill for an individual disease such as W85a in Figure 8(a).

[0096] In addition, the display processing unit 13 may display a skill map that manages the examination skills, testing skills, and treatment skills of a doctor for individual diseases, disease areas, and medical departments, as shown in Figure 8(b).

[0097] For example, the memory unit stores a skill value threshold for determining whether a doctor has the skills (whether the doctor can handle the disease), and the display processing unit 13 displays a skill map that visualizes the doctor's skills based on the threshold and skill value.

[0098] In FIG. 8(b), the threshold is 60%, and the display processing unit 13 displays skills with a skill value of 60% or more with a circle, and skills with a skill value of less than 60% with an X.

[0099] Furthermore, the display processing unit 13 performs display processing of a skill map that allows for differentiation of skill values ​​calculated based on acquired medical skill information excluding some missing information, based on the skill map information. For example, the display processing unit 13 performs display processing of a skill map that allows for differentiation (by graying out, shading, etc.) of skill values ​​calculated based on acquired medical skill information excluding some missing information, as shown in Fig. 8. Furthermore, the display processing unit 13 may perform display processing of a skill map that allows for differentiation of skill values ​​calculated based on similar information.

[0100] The display processing unit 13 may display a skill map that can distinguish between skill values ​​calculated from medical skill information based on the doctor's performance in content such as training, skill values ​​calculated from medical skill information including not only the doctor's performance in content but also self-reporting by the doctor, skill values ​​calculated based on acquired medical skill information excluding some missing information, and skill values ​​calculated based on similar information.

[0101] Skill values ​​calculated from medical skill information based on content attendance results are based on the premise that the doctor has attended training content, and therefore can be said to be accurate and reliable doctor skills. On the other hand, skill values ​​calculated from medical skill information that includes self-reporting by the doctor themselves may be somewhat less accurate and reliable as doctor skills, as doctors can self-report as they wish.

[0102] Furthermore, skill values ​​calculated based on insufficient medical skill information may be less accurate and reliable as a doctor's skill because they do not take the insufficient medical skill information into consideration or cite similar data. By having the display processing unit 13 display the three skill values ​​in a distinguishable manner, the accuracy and reliability of the doctor's skill can be visualized.

[0103] <Generating skill map information based on medical department and length of employment> When generating the skill map information of Doctor A, the generating unit 12 may generate the skill map information of Doctor A based on the skill map information of doctors other than Doctor A (Doctors B, C, etc.).

[0104] Specifically, the generating unit 12 may extract doctors who have worked in a certain medical department for the same length of time as Doctor A, and generate skill map information for Doctor A based on the skill values ​​of the extracted doctors related to that medical department. Furthermore, the generating unit 12 may generate skill map information for Doctor A based on the skill values ​​of the extracted doctors related to disease areas and individual diseases associated with that medical department.

[0105] Doctors who have worked in the same department for the same length of time are likely to have the same skill level in that department. By storing the doctor's length of work in each department in the memory unit linked to the doctor ID, the skill level of one doctor can be reused for the skill level of another doctor.

[0106] In addition, the generation unit 12 may extract doctors who have the same working period as Doctor A in each medical department, and generate skill map information for Doctor A based on the skill values ​​of the extracted doctors for that medical department.

[0107] Depending on the medical department, the diseases that are examined may overlap (for example, plastic surgery and dermatology can diagnose the same disease). When the diseases that are examined by the medical department overlap and the skill map information is generated using the respective skill values, the generation unit 12 can generate more accurate skill map information by extracting doctors who have the same working period in all the medical departments.

[0108] When the generation unit 12 generates skill map information based on the length of employment and skill values ​​of other doctors in their departments, the display processing unit 13 may display the skill map information and confirm the legitimacy of the skill map information with the target doctor (the doctor for whom the skill map information is generated by reusing the skill values ​​of other doctors).

[0109] Specifically, the display processing unit 13 receives information on whether the skill value is correct or not (validity) from the target doctor, and information for correcting the skill value. Furthermore, the generation unit 12 may correct the skill value based on the received information for correcting the skill value.

[0110] <Prediction of the number of patients affected by the disease> The memory unit stores the incidence rate for each disease. The memory unit stores the incidence rates of diseases described in papers, etc. The memory unit may also store the papers themselves. The region is a hospital, village, city, prefecture, country, etc., and is a unit that allows the number of doctors working there (belonging to that region) to be calculated.

[0111] The storage unit stores area information related to an area. The area information includes the number of people living in the area (population), the number of people living in the area by age (population by age), the number of people living in the area by gender (population by gender), etc. In addition, the area information may also include the number of people living in the area by occupation.

[0112] The prediction unit 14 predicts the number of patients who will suffer from a disease in a certain area. The prediction unit 14 predicts the number of patients who will suffer from a disease in that area based on the incidence rate stored in the memory unit and area information. Furthermore, if the memory unit stores a paper or the like that describes the incidence rate, the prediction unit 14 extracts the incidence rate described in the paper and predicts the number of patients.

[0113] <Judging whether a doctor can treat a patient's illness> The determination unit 15 determines whether a doctor in a certain area can treat a disease based on the skill map information and a threshold. Specifically, the storage unit stores a threshold for skill value, and if the doctor's skill value exceeds the threshold, the determination unit 15 determines that the doctor can treat the disease.

[0114] For example, when the threshold value is 70%, the determination unit 15 determines that a doctor having the skill map of Fig. 8(a) is capable of examining a jaw fracture. In this way, it is possible to determine whether a doctor can handle each disease at various granularities and skills based on the skill values ​​of the doctor's medical department, disease area, and examination skills, examination skills, and treatment skills for each individual disease.

[0115] For example, it is possible to determine and visualize that a certain doctor can only perform tests for individual diseases. Furthermore, if all of the skill values ​​of a certain doctor's examination skills, examination skills, and treatment skills for a medical department exceed a threshold, it is possible to determine and visualize that the doctor can perform examinations, tests, and treatments for all disease areas and individual diseases related to that medical department.

[0116] <Comparative analysis with the number of patients> The analysis unit 16 compares and analyzes the skill map information generated by the generation unit 12 with the number of patients predicted by the prediction unit 14. The analysis unit 16 analyzes the difference (surplus or shortage) in medical resources based on the result of the comparison. Specifically, the analysis unit 16 calculates the number of doctors who can treat the disease based on the skill map information and the result of the judgment by the judgment unit 15, and calculates and analyzes the difference between the calculated number and the number of patients. Furthermore, the display processing unit 13 displays the results of the analysis by the analysis unit 16.

[0117] The analysis unit 16 calculates and analyzes the number of doctors who can treat the disease in a specified period (e.g., one day, one week, one month, one year, etc.) based on the working hours calculated from doctors who can treat the disease and the time required to treat patients with the disease.

[0118] Specifically, the analysis unit 16 multiplies the number of doctors available to treat the calculated disease by the working hours of a doctor per day, and divides the result by the time required to treat patients with that disease. In this way, the number of doctors available to treat that disease in a certain area per day can be calculated.

[0119] For example, if the time required to examine a mandibular fracture is 10 minutes, and there are three doctors in a certain area who can examine mandibular fractures and who work eight hours a day, then 144 patients can be examined for mandibular fractures in that area per day. By storing the time required for consultation, examination, and treatment for each individual disease in the memory unit, it is possible to calculate the number of patients who can be treated for that disease in a certain area per day.

[0120] The analysis unit 16 can calculate the difference in doctors (for example, the shortage of doctors) in a certain area based on the number of patients with a disease that can be treated in that area in a predetermined period of time and the number of patients in that predetermined period of time.

[0121] The analysis unit 16 may also calculate the number of doctors who are in short supply for a disease area or an individual disease. Additionally, the analysis unit 16 may calculate which skills doctors have who are in short supply for a disease area or an individual disease.

[0122] Furthermore, the analysis unit 16 may calculate the skills that doctors should improve in order to eliminate the difference in the area based on the calculated difference. The analysis unit 16 may also suggest that doctors take content related to the calculated skills that should be improved.

[0123] <Management of medical resources, including medical equipment> The analysis unit 16 calculates the number of patients that can be treated in a certain area for a predetermined period of time using the number of medical devices, nurses, physical therapists, occupational therapists, speech-language-hearing therapists, etc. Even if there are enough doctors in a certain area for the number of patients with a disease, if there is an insufficient number of medical devices, it will not be possible to treat all patients.

[0124] The analysis unit 16 determines and analyzes the number of patients that can be treated based on the smaller number of patients that can be treated. For example, even if a doctor's skills allow him to treat 10 patients per day for a certain disease in a certain area, the number of medical devices in that area may limit the number of patients that can be treated to 8 per day. The analysis unit 16 determines the smaller number as the number of patients that can be treated in that area.

[0125] By using the number of medical devices, nurses, physical therapists, occupational therapists, speech-language-hearing therapists, etc. in a certain area, it is possible to calculate the number of patients that can be treated in that area per day in more detail.

[0126] As described above, the configuration of the present invention can provide a new technique for managing the skills of doctors. [Explanation of symbols]

[0127] 0 Medical Resource Management System 1. Medical resource management device 11 Acquisition Department 12 Generation part 13 Display processing section 14 Prediction Department 15 Judgment section 16 Analysis Department 2. User terminal NW Network

Claims

1. A medical resource management system for managing medical resources, The medical resource management system includes a storage unit, an acquisition unit, and a generation unit, the storage unit stores disease information relating to diseases in a hierarchical structure; the acquiring unit acquires medical skill information relating to medical skills of doctors for each hierarchical level in the hierarchical structure; the generation unit generates hierarchically structured doctor skill map information based on the disease information and the medical skill information; Healthcare resource management system.

2. The disease information includes individual disease information on individual diseases, disease area information on disease areas to which the individual diseases belong, and medical department information on medical departments that treat the disease areas, The medical skill information includes examination skills, examination skills, and treatment skills for the individual disease information, the disease area information, and the medical department information. The medical resource management system of claim 1 .

3. the generation unit calculates a skill value of a hierarchy different from the hierarchy based on hierarchy information in the medical skill information, and generates the skill map information. The medical resource management system of claim 2 .

4. The medical resource management system includes a display processing unit, the generation unit, when information in the medical skill information is insufficient, calculates a skill value based on information similar to the insufficient information and generates the skill map information; The display processing unit displays a skill map that can distinguish between skill values ​​calculated based on the similar information, based on the skill map information. The medical resource management system of claim 2 .

5. The medical resource management system includes a prediction unit and an analysis unit, the storage unit stores an incidence rate for each disease, The prediction unit predicts the number of patients suffering from a disease in a certain area, The analysis unit analyzes skill map information of doctors belonging to the certain area and the number of patients.

5. The medical resource management system according to claim 1.

6. The medical resource management system includes a determination unit, the storage unit stores a threshold value for determining whether the doctor can treat the disease; The determination unit determines whether a doctor belonging to the certain area can treat the disease based on the skill map information and the threshold value; The analysis unit analyzes the number of doctors who can treat the disease and the number of patients based on the result of the determination. The medical resource management system of claim 5 .

7. The analysis unit analyzes, based on the result of the determination, working hours calculated from doctors who can treat the disease and the time required to treat patients with the disease. The medical resource management system of claim 6 .

8. A medical resource management method executed by a medical resource management system that manages medical resources, The medical resource management system includes a storage unit, an acquisition unit, and a generation unit, a step in which the storage unit stores disease information relating to diseases in a hierarchical structure; the acquiring unit acquiring medical skill information regarding medical skills of doctors for each hierarchical level in the hierarchical structure; The generating unit generates hierarchically structured doctor skill map information based on the disease information and the medical skill information. Healthcare resource management methods.

9. A medical resource management program for managing medical resources, A computer is configured to function as a storage unit, an acquisition unit, and a generation unit; the storage unit stores disease information relating to diseases in a hierarchical structure; the acquiring unit acquires medical skill information relating to medical skills of doctors for each hierarchical level in the hierarchical structure; the generation unit generates hierarchically structured doctor skill map information based on the disease information and the medical skill information; Health Resource Management Program.

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