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

Abstract

Providing new techniques 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 having a hierarchical structure, The acquisition unit acquires medical skill information regarding 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 technique for calculating the types and quantities of medical supplies in an area. [Prior art documents] [Patent documents]

[0004] [Patent Document 1] 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 consideration of the above-mentioned circumstances, and an object of the present invention 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 having a hierarchical structure, The acquisition unit acquires medical skill information regarding medical skills of doctors for each hierarchical level in the hierarchical structure, The generating unit generates hierarchical 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, comprising: 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 regarding medical skills of doctors for each hierarchical level in the hierarchical structure; The generating unit generates hierarchical 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, comprising: 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 having a hierarchical structure, The acquisition unit acquires medical skill information regarding medical skills of doctors for each hierarchical level in the hierarchical structure, The generating unit generates hierarchical 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 hierarchical structures of doctor skills, and to manage doctor skills at hierarchical levels of granularity.

[0011] [2] The disease information includes individual disease information on an individual disease, disease area information on a disease area to which the individual disease belongs, and medical department information on a medical department that treats the disease area; 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] A medical resource management system according to the present invention.

[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 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 according to [1] or [2].

[0014] With this configuration, it is 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 available.

[0015] [4] The medical resource management system includes a display processing unit, the generating unit, when information in the medical skill information is insufficient, calculates a skill value based on information similar to the insufficient information to generate the skill map information; The display processing unit displays a skill map that can distinguish the 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] With this configuration, it becomes possible to distinguishably display the skill value calculated based on missing medical skill information, thereby making it possible to manage 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 memory 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] Such a configuration makes it possible to predict the number of patients with a disease in a certain area, and to manage the difference (surplus or shortage) in future medical resources based on the predicted number of patients.

[0019] [6] The medical resources 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 judgment. [5] The medical resource management system described in.

[0020] With this configuration, it is possible to use the doctor's skills to determine whether the doctor is capable of treating a disease, and it is possible to more accurately manage the difference in medical resources 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 judgment. [6] A medical resource management system as described in the above.

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

[0023] According to the present invention, a new technique for managing the skills of doctors can be provided. [Brief description 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. [Diagram 2] FIG. 2 is a diagram showing a hardware configuration according to the present embodiment. [Diagram 3] FIG. 2 is a block diagram showing functional components according to the embodiment. [Figure 4] 4 shows an example of a data configuration stored in a storage unit in the present embodiment. [Diagram 5] 4 shows an example of a data configuration stored in a storage unit in the present embodiment. [Figure 6] 4 shows an example of a data configuration stored in a storage unit in the present embodiment. [Figure 7] 13 is a flowchart of a process for generating skill map information of a doctor in this embodiment. [Figure 8] 13 shows an example of a doctor's skill map in this embodiment. DETAILED DESCRIPTION OF THE PREFERRED EMBODIMENTS

[0025] The medical resource management system of the present invention will be described below with reference to the drawings. The drawings show preferred embodiments. 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, the same effects can be achieved by an executed method (step), device, computer program, etc. The program in this embodiment may be provided as a non-transient computer-readable recording medium, may be provided so as to be downloadable from an external server, or may be started in 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, a physical value of a signal value representing a voltage or current, a high or low signal value as a binary bit collection consisting of 0 or 1, or a quantum superposition (so-called quantum bit), 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, a processor, memory, etc. In other words, 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 in the present invention may be any one that can visualize all of the medical skills of doctors for all levels. Specifically, it may be possible to visualize the medical skills of doctors for each level in stages.

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

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

[0032] <System Overview> Fig. 1 is a block diagram showing the configuration of a medical resource management system in 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 a doctor's own medical skills from the doctor via the user terminal 2. The medical resource management device 1 may also acquire, as medical skill information, the results of training sessions, such as online ones, that the doctor has taken. 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 a doctor to input medical skill information related to his / her own medical skills. As the user terminal 2, a terminal device such as a smartphone, a tablet terminal, or a personal computer can be used. The number of user terminals 2 may be one or more.

[0036] In this embodiment, the network NW is an IP (Internet Protocol) network, but there is no restriction on the type of communication protocol, and further, there is no restriction 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 executes communication control with the network NW, and performs input required to operate 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 cause each unit and each process to function.

[0042] The control unit 91 of the terminal device 9 includes one or more processors such as a CPU, and controls the overall operation 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, or the like, and inputs operation requests from a user / provider to the control unit 91. An output unit 95 of the terminal device 9 is a display, or the like, 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 realize these functional components on multiple computers to configure the medical resource management system 0. For example, a 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, a 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 are examples of data configurations stored in the storage unit in this embodiment. The storage unit of the medical resource 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 data is an example, and some or all of the data stored in the storage unit of the medical resource management device 1 may be stored in the user terminal 2 and 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 storage 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 and the user terminal 2.

[0048] Disease information is information related to a disease. Disease information includes individual disease information on an individual disease, a disease area to which the individual disease belongs, and medical department information on a medical department that treats the disease area including the disease. As shown in Figures 4(a) to (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 made into a hierarchical structure.

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

[0050] Disease area information is information about disease areas treated by medical departments. Disease area information includes the name of the disease area and the medical department ID, as shown in Figure 4(b), 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 Fig. 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. The 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 according to the International Statistical Classification of Diseases and Related Health Problems (ICD).

[0053] The doctor information is information about the doctor who manages the skills. As shown in Figure 4(d), the 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 to be evaluated in order 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 limit of the scores for the evaluation items is the same for all evaluation items. The upper limit of the scores and the scores for the evaluation criteria can be set appropriately.

[0055] Skill item information is information about the skill items of the doctors being managed. As shown in FIG. 5(f), the 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] By doing this, 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] The medical skill information is information about the medical skills of a doctor. As shown in FIG. 6(g), the medical skill information includes disease information, evaluation item IDs, and scores, and is managed by doctor ID. In this way, it is possible to refer to the scores of evaluation items related to the disease information of a certain doctor.

[0058] For example, it can be seen that the score for evaluation item ID "EI01" (length of experience) in 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 FIG. 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 a skill value that visualizes the skills of skill items related to disease information of a certain doctor.

[0060] For example, the skill (skill value) for skill item ID "SI01" (medical treatment skill) in disease information "DA174" (facial bone fracture) of a doctor with 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 on the medical skills of doctors for each (different granularity) layer (medical department, disease area, individual disease) in the hierarchical structure. The acquisition unit 11 acquires medical skill information including examination skills, examination 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 acquisition 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 acquisition unit 11 may acquire the doctor's working period in orthopedic surgery and calculate the score based on the information.

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

[0067] In addition, the acquisition unit 11 may acquire the results (scores) of training (contents) taken by the doctor online or the like as medical skill information. By using the scores for the evaluation items in the medical department, disease area, and individual disease, skill map information of the doctor for the medical department, disease area, and individual disease can be generated.

[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 the disease area ID “DA174” is further 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 individual diseases.

[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 (FIG. 5(f)), the generation unit 12 can obtain scores for the evaluation items for the disease information and calculate the skill value of each skill item.

[0072] The generation unit 12 calculates the doctor's skill value for each skill item of 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 as shown in Fig. 5(f), and further calculates the skill value using the scores of the evaluation items read out for the disease information "KD1745" of doctor ID "D0002" from the medical skill information as shown in Fig. 6(g).

[0073]

number

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

[0075] In order to calculate the skill value of a disease area, the generating unit 12 may calculate the skill value using the scores of evaluation items for individual diseases that are lower in rank than the disease area. For example, in order to calculate the skill value of a certain doctor's disease area ID "DA174", the generating 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 evaluation item ID "EI02" of a 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 evaluation item ID "EI02" of disease area ID "DA174."

[0077] Specifically, the generating unit 12 may calculate the score of the evaluation item ID "EI02" of the disease area ID "DA174" as the average of the scores, 3 points ((3+4+2) / 3). In addition, the generating unit 12 may use the average of the numerical values ​​(number of experienced cases, etc.) for determining the score of the evaluation item.

[0078] In addition, the generating unit 12 may calculate the score of the higher hierarchical level by weighted average using the occurrence frequency of each individual disease in the medical field. The generating unit 12 calculates the occurrence frequency of each individual disease using statistical data and information from papers. For example, when the frequencies of the individual disease IDs "KD1744", "KD1745", and "KD1746" are 30%, 40%, and 30%, respectively, the generating unit 12 may calculate 3.1 points (3×0.3+4×0.4+2×0.3) as the score of the evaluation item ID "EI02" of the disease area ID "DA174".

[0079] In addition, the generating unit 12 may calculate the skill value of an individual disease by using the score of an evaluation item for a disease area that is 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 for 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 scores for the evaluation item ID "EI02" for the individual disease IDs "KD1744," "KD1745," and "KD1746" could each be set to 3 points.

[0082] Furthermore, when a part of the medical skill information is missing, the generation unit 12 calculates a skill value based on the acquired information excluding the part of the information, and generates skill map information. Specifically, even when the scores of all evaluation items for calculating the skill value of a skill item are not included in the medical skill information as shown in FIG. 6(g), the generation unit 12 calculates the skill value of the skill item. In other words, the generation unit 12 may calculate a skill value from only a part of the evaluation items associated with 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 of evaluation item IDs "EI01, EI02, EI03, EI06, EI07, EI08, ..." for maxillary fracture for doctor ID "D0002" are required.

[0084] On the other hand, when the storage unit stores only the scores of the evaluation item IDs "EI01, EI02, EI03" for the maxillary fracture of the doctor ID "D0002," the generation unit 12 calculates the skill value from only those scores. When the generation unit 12 calculates the skill value from only some of the evaluation items, the generation unit 12 may store skill map information including information that can identify that fact 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 formulas (2) to (4).

[0086]

number

[0087] Furthermore, when information in the medical skill information is insufficient, the generating unit 12 calculates a skill value based on information similar to the insufficient 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 generating 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 department "dermatology" or "plastic surgery" can diagnose the individual disease "sebaceous cyst."

[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 generating unit 12 may use the score of the evaluation item for the individual disease "sebaceous cyst" belonging to the medical department "plastic surgery" to calculate the skill value for the individual disease "sebaceous cyst" belonging to the medical department "dermatology". When the generating unit 12 calculates the skill value using similar information (similar data), the generating unit 12 may store skill map information including information that can identify that fact in the storage unit.

[0090] <Skill map display process> In step S703, the display processing unit 13 performs display processing of the 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 is a visualization of the doctor's skills, and the display processing unit 13 performs display processing of 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 hierarchical levels linked to the disease area or medical department for which the designation has been received.

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

[0093] When the display processing unit 13 receives a specification of a specific medical department such as W82a in FIG. 8(a), it may simultaneously display the skill value of the skill for the medical department such as W81a in FIG. 8(a) and the skill value of the skill for the disease area such as W83a in FIG. 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 an individual disease linked to the disease area for which the specification was received, such as W85a in Figure 8(a).

[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 and process 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 diagnostic 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 a disease), and the display processing unit 13 displays a skill map that visualizes the doctor's skills based on the threshold and the 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 displays skills with a skill value of less than 60% with a cross.

[0099] Furthermore, the display processing unit 13 performs display processing of a skill map in which skill values ​​calculated based on acquired medical skill information excluding some missing information can be distinguished based on the skill map information. For example, the display processing unit 13 performs display processing of a skill map in which skill values ​​calculated based on acquired medical skill information excluding some missing information can be distinguished (by graying out, diagonal lines, etc.) as shown in Fig. 8. Furthermore, the display processing unit 13 may perform display processing of a skill map in which skill values ​​calculated based on similar information can be distinguished.

[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 courses such as training sessions, skill values ​​calculated from medical skill information including not only the doctor's performance in content courses but also self-reporting by the doctor, skill values ​​calculated based on acquired medical skill information excluding some missing information, skill values ​​calculated based on similar information, etc.

[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 including self-reporting by the doctor himself / herself may be somewhat less accurate and reliable as doctor skills, because doctors can self-report as they wish.

[0102] Furthermore, the skill value calculated based on the missing medical skill information may be less accurate and reliable as a doctor's skill because it does not take the missing medical skill information into consideration or cites similar data. The display processing unit 13 displays the three skill values ​​in a distinguishable manner, thereby making it possible to visualize the accuracy and reliability of the doctor's skill.

[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 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 period as Doctor A, and generate skill map information of Doctor A based on the skill value of the extracted doctor related to the medical department. Furthermore, the generating unit 12 may generate skill map information of Doctor A based on the skill value of the extracted doctor related to the disease area and individual disease linked to the medical department.

[0105] Doctors who have worked in the same medical department for the same length of time are likely to have the same skill value in that department. By storing the length of time a doctor has worked in each medical department in association with the doctor ID, the skill value of one doctor can be reused for the skill value of another doctor.

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

[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 generating 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 service and skill values ​​of other doctors in their medical 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 information 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 there) 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 include the number of people living in the area by occupation.

[0112] The prediction unit 14 predicts the number of patients suffering from a disease in a certain area. The prediction unit 14 predicts the number of patients suffering from a disease in the area based on the incidence rate stored in the memory unit and area information. In addition, when the memory unit stores a paper or the like describing the incidence rate, the prediction unit 14 extracts the incidence rate described in the paper and predicts the number of patients.

[0113] <Judgment of whether or not 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 skill value threshold, and when the skill value of a doctor 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 judgment unit 15 judges 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 judge whether a certain doctor can handle each disease for various granularities and skills based on the skill values ​​of the examination skill, examination skill, and treatment skill for the medical department, disease area, and individual disease of the doctor.

[0115] For example, it is possible to determine and visualize that a certain doctor can only perform tests for individual diseases. Furthermore, if all 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 number of patients> The analysis unit 16 compares and analyzes the skill map information generated by the generation unit 12 and 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 result 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 the 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 in one day, and divides it by the time required to treat patients with the disease. In this way, the number of doctors available to treat the disease in one day in a certain area 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 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, the number of patients who can be treated for that disease in a certain area per day can be calculated.

[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 the certain period of time and the number of patients in the certain period of time.

[0121] The analysis unit 16 may also calculate the number of doctors that are in short supply for a disease area or an individual disease. In addition, the analysis unit 16 may calculate which skills doctors have that 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 suggest taking a content course related to the calculated skill to be improved.

[0123] <Management of medical resources, including medical equipment, etc.> The analysis unit 16 calculates the number of patients that can be treated in a certain area in a given period of time using the number of medical devices, nurses, physical therapists, occupational therapists, speech-language-hearing therapists, etc. Even if the number of doctors in a certain area is sufficient for patients with a disease, if the number of medical devices is insufficient, it is not 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 skill is such that he or she can treat 10 patients per day for a certain disease in a certain area, the number of medical devices in the 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 the 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 doctor skills. [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 having a hierarchical structure, The disease information includes individual disease information on an individual disease, disease area information on a disease area to which the individual disease belongs, and medical department information on a medical department that treats the disease area, The acquisition unit acquires medical skill information relating to medical skills of doctors for each hierarchical level in the hierarchical structure from an external source; The medical skill information is information on the individual disease information, the disease area information, and the medical department information, The generating unit generates hierarchical doctor skill map information based on the disease information and the medical skill information. Healthcare resource management system.

2. 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 information of the hierarchy 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 generating unit, when information in the medical skill information is insufficient, calculates a skill value based on information similar to the insufficient information to generate the skill map information; The display processing unit displays a skill map that can distinguish the 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 memory 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 judgment. The medical resource management system of claim 5.

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

8. A medical resource management method executed by a medical resource management system for managing medical resources, comprising: 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 disease information includes individual disease information on an individual disease, disease area information on a disease area to which the individual disease belongs, and medical department information on a medical department that treats the disease area, The acquiring unit acquires medical skill information relating to medical skills of doctors for each hierarchical level in the hierarchical structure from an external source. The medical skill information is information on the individual disease information, the disease area information, and the medical department information, The generating unit generates hierarchical 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, comprising: 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 having a hierarchical structure, The disease information includes individual disease information on an individual disease, disease area information on a disease area to which the individual disease belongs, and medical department information on a medical department that treats the disease area, The acquisition unit acquires medical skill information relating to medical skills of doctors for each hierarchical level in the hierarchical structure from an external source; The medical skill information is information on the individual disease information, the disease area information, and the medical department information, The generating unit generates hierarchical doctor skill map information based on the disease information and the medical skill information. Health Resource Management Program.

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