Treatment support systems, treatment support methods, and programs

Abstract

To enable efficient analysis of the treatment status of osteoporosis patients. [Solution] A treatment support system is configured comprising an acquisition means for acquiring medical information showing the results of treatment for osteoporosis received by a subject, and a treatment status determination unit for determining the treatment status of the subject based on the medical information acquired by the acquisition means.

Description

Technical Field

[0001] The present invention relates to a treatment support system, a treatment support method, and a program.

Background Art

[0002] There is known a technique for determining the presence or absence of a possible fracture site in a vertebral region based on a simple chest X-ray image imaged by a modality (see, for example, Patent Document 1). In addition, there is known a technique of a medication recording device that registers a medication certification image indicating that a medication has been taken at the medication date and time and accepts input of information regarding the treatment progress at the medication date and time (see, for example, Patent Document 2).

Prior Art Documents

Patent Documents

[0003]

Patent Document 1

Patent Document 2

Summary of the Invention

Problems to be Solved by the Invention

[0004] For example, as an analysis regarding a patient with osteoporosis, there may be a case where it is desired to analyze the treatment status of the patient. It is preferable that the analysis of the treatment status of the patient be performed efficiently.

[0005] An object of the present invention is to enable efficient analysis of the treatment status of a patient with osteoporosis.

Means for Solving the Problems

[0006] One aspect of the present invention that solves the above-mentioned problems is a treatment support system comprising: an acquisition means for acquiring medical information showing the results of medical treatment for osteoporosis received by a subject; and a treatment status determination unit for determining the treatment status of the subject based on the medical information acquired by the acquisition means.

[0007] One aspect of the present invention is a treatment support method in a treatment support system, comprising an acquisition step in which an acquisition means acquires medical information indicating the results of a medical examination for osteoporosis received by a subject, and a treatment status determination step in which a treatment status determination unit determines the treatment status of the subject based on the medical information acquired in the acquisition step.

[0008] One aspect of the present invention is a program that causes a computer in a treatment support system to function as an acquisition means for acquiring medical information indicating the results of treatment related to osteoporosis received by a subject, and a treatment status determination unit for determining the treatment status of the subject based on the medical information acquired by the acquisition means. [Effects of the Invention]

[0009] According to the present invention, it is possible to efficiently analyze the treatment status of patients with osteoporosis. [Brief explanation of the drawing]

[0010] [Figure 1] This figure shows an example of the overall configuration of the treatment support system in this embodiment. [Figure 2] This figure shows an example of a medical information record stored in the medical information database in this embodiment. [Figure 3] This figure shows an example of the functional configuration of the treatment support device in this embodiment. [Figure 4] This figure shows an example of injury / illness pattern information in this embodiment. [Figure 5] This figure shows an example of a method for determining the occurrence of a proximal femoral fracture in this embodiment. [Figure 6]It is a flowchart showing an example of a processing procedure executed by the treatment support device in this embodiment in response to the determination of the occurrence of a proximal femoral fracture. [Figure 7] It is a diagram showing an example of a patient number analysis screen in this embodiment. [Figure 8] It is a diagram showing an example of a method for determining the treatment status by the treatment support device in this embodiment. [Figure 9] It is a diagram showing an example of a method for determining the treatment status by the treatment support device in this embodiment. [Figure 10] It is a flowchart showing an example of a processing procedure executed by the treatment support device in this embodiment in response to the determination of the treatment status. [Figure 11] It is a diagram showing an example of a treatment status analysis screen in this embodiment. [Figure 12] It is a diagram showing a specific example when the treatment support device in this embodiment determines the inspection and medication status. [Figure 13] It is a diagram showing an example of an inspection and medication status analysis screen in this embodiment. [Figure 14] It is a diagram showing an example of a method for determining a secondary fracture in this embodiment. [Figure 15] It is a diagram showing an example of a secondary fracture aggregation screen in this embodiment.

Mode for Carrying Out the Invention

[0011] <Embodiment> [Overall Configuration Example of Treatment Support System] FIG. 1 shows an overall configuration example of the treatment support system of this embodiment. The treatment support system in the figure includes a treatment support device 100. The treatment support device 100 may be provided, for example, as a server on a network. In this case, the treatment support device 100 may be constructed as a cloud server.

[0012] The treatment support device 100 is communicably connected to the municipality terminal 11 of the municipality 10 and the medical information database 12 via a network.

[0013] In the local government 10, medical information is collected for each resident Cz (an example of the target person), and the collected medical information is stored in the medical information database 12. The medical information is information indicating the results of the medical treatment received by resident Cz. The medical treatment here includes examinations, tests, treatments, etc. received by resident Cz at a medical institution, as well as the results of various check-ups (check-up results) received by resident Cz. The check-ups here may include health check-ups in addition to cancer check-ups.

[0014] Specifically, the medical information includes a receipt (medical fee statement) issued by the medical institution 20 as an insurer to resident Cz. The local government 10 obtains the receipt for each resident Cz from the medical institution 20. Also, the medical information includes check-up data. The check-up data is data indicating the diagnosis results of various check-ups received by resident Cz. Various check-ups are implemented as services for resident Cz at the medical institution 20, for example, by the local government 10 entrusting the medical institution 20. Alternatively, the check-up is implemented for a fee by the medical institution 20 in response to requests from individuals or companies. The local government 10 obtains the check-up data corresponding to such implemented check-ups from the medical institution 20.

[0015] FIG. 2 shows a medical information record stored in the medical information database corresponding to one resident Cz. The medical information record in the figure has a structure in which medical information (receipt, check-up data) is associated with the resident identifier and residential information of the corresponding resident Cz. The receipt may include information such as a medication history, a treatment history, and a disease name.

[0016] The number of receipts stored in the receipt field in the medical information is not particularly limited. For example, a plurality of receipts issued corresponding to each previous visit of resident Cz may be stored in the receipt field. Also, the number of check-up data stored in the check-up data field in the medical information is not particularly limited. For example, check-up data corresponding to each check-up received by resident Cz at various places of the medical institution 20 may be stored in the check-up data field.

[0017] Returning to the explanation in Figure 1. The treatment support device 100 acquires medical information stored in the local government's medical information database. Based on the acquired medical information, the treatment support device 100 performs an analysis on osteoporosis among residents Cz.

[0018] The analysis results from the treatment support device 100 are provided to the local government 10. In this case, the treatment support device 100 may transmit the analysis results to the local government terminal 11 via communication. The local government 10 may also provide the provided analysis results to the medical institution 20 as needed. The treatment support device 100 may also be capable of transmitting the analysis results to a medical institution terminal (not shown) installed in the medical institution 20 via communication.

[0019] Figure 3 shows an example of the functional configuration of the treatment support device 100. The treatment support device 100 may be configured with hardware such as a CPU (Central Processing Unit), ROM (Read Only Memory), RAM (Random Access Memory), and storage devices such as an HDD (Hard Disk Drive) or SSD (Solid State Drive). The functions of the treatment support device 100 shown in the figure are realized by the CPU, which is provided in the hardware corresponding to the treatment support device 100, executing a program.

[0020] The treatment support device 100 in Figure 3 comprises a communication unit 101, a control unit 102, and a storage unit 103. The communications unit 101 communicates via the network.

[0021] The control unit 102 performs various controls in the treatment support device 100. The control unit 102 includes an acquisition unit 121, an injury / illness determination unit 122, a treatment status determination unit 123, and an information provision unit 124.

[0022] The acquisition unit 121 acquires medical information stored in the medical information database 12.

[0023] The injury / illness determination unit 122 determines whether resident Cz has developed a specific injury or illness based on the medical information acquired by the acquisition unit 121. Specifically, the injury / illness determination unit 122 determines whether a proximal femoral fracture has occurred. Proximal femoral fractures are known to occur frequently in patients with osteoporosis. In other words, resident Cz who is determined by the injury / illness determination unit 122 to have a proximal femoral fracture can be treated as having osteoporosis.

[0024] The treatment status determination unit 123 determines the treatment status of resident Cz for osteoporosis based on the medical information acquired by the acquisition unit 121. Specifically, the treatment status determination unit 123 determines, as the treatment status, whether the treatment for osteoporosis is ongoing or has been discontinued for each resident Cz with osteoporosis.

[0025] The information provision unit 124 ensures that information showing the analysis results of the treatment status is displayed on the municipal terminal 11 (and the medical institution terminal). The information provision unit 124 generates analysis information based on the treatment status determination results by the treatment status determination unit 123 and transmits the generated analysis information to the municipal terminal 11, etc.

[0026] The memory unit 103 stores various types of information corresponding to the treatment support device 100. The memory unit 103 includes a disease pattern information storage unit 131, a drug master storage unit 132, and a patient database 133.

[0027] The injury / illness pattern information storage unit 131 stores injury / illness pattern information that the injury / illness determination unit 122 uses to determine the occurrence of an injury or illness. Specifically, in this case, the injury / illness pattern information storage unit 131 stores injury / illness pattern information used to determine the occurrence of a proximal femoral fracture.

[0028] Figure 4 shows an example of injury pattern information corresponding to a proximal femoral fracture, which is stored in the injury pattern information storage unit 131. The injury pattern information in this figure has fields for the relevant injury / disease, the relevant surgery, and the pattern.

[0029] The field for the relevant injury / illness stores the names of injuries (relevant injuries / illnesses) that may be diagnosed in relation to the proximal femoral fracture, which is the injury / illness being assessed. Specifically, the figure shows an example where the field for the relevant injury / illness stores two injury names: femoral neck fracture and intertrochanteric femoral fracture.

[0030] The field for the relevant surgery stores the names of the surgeries (relevant surgeries) that may be performed in response to the proximal femoral fracture, which is the injury being assessed. Specifically, the figure shows an example where the field for the relevant surgery stores three surgical names: open reduction and internal fixation of fracture, artificial femoral head insertion, and artificial joint replacement.

[0031] The pattern field stores the patterns (conditions for occurrence) for the relevant injury and surgery that result in a proximal femoral fracture, which is the injury being assessed. Here, "pattern" refers to, for example, the correlation or causal relationship between the relevant injury and surgery that result in a proximal femoral fracture. The diagram shows that a proximal femoral fracture is determined to have occurred if the condition that "the relevant surgery was performed within the month following the month in which the injury or illness occurred" is met.

[0032] It should be noted that the injury / illness pattern information illustrated in Figure 4 is merely an example. Furthermore, for example, the pattern could be one in which the occurrence of one or more relevant injuries / illnesses determines that the injury / illness has occurred, without considering the relevant surgery, or one in which the occurrence of one or more relevant surgeries determines that the injury / illness has occurred, without considering the relevant injury / illness.

[0033] Figure 5 shows examples of the results of the injury / illness determination unit 122's determination of whether or not a proximal femoral fracture occurred, based on the injury / illness pattern information in Figure 4, for each of the five specific examples given (Case 1 to Case 5). Cases 1 to 5 are events indicated by medical information, including medical claims. In the same figure, the number of times the injury / illness occurred is shown as the result of the injury / illness determination unit 122's determination for each event in Cases 1 to 5. In Case 1, the resident Cz in question received medical treatment (examination, treatment, prescription, etc.) once in the first month for the relevant injury / illness (femoral neck fracture or intertrochanteric fracture), and underwent surgery (open reduction and internal fixation of fracture, artificial femoral head insertion, and artificial joint replacement) once. The injury / illness determination unit 122 can identify the name and month of occurrence of the relevant injury / illness, as well as the name and month of the relevant surgery, based on the information on diagnosed injuries / illnesses and performed surgeries shown in the medical information (receipts, health checkup data) of the target resident Cz. Case 1 corresponds to the pattern indicated in the injury / illness pattern information, which states that "the relevant surgery was performed within the month following the month in which the relevant injury / illness was treated." Therefore, the injury / illness determination unit 122 determines that a proximal femoral fracture occurred in Case 1. Furthermore, since both the treatment for the relevant injury / illness and the relevant surgery were performed once in Case 1, the injury / illness determination unit 122 also determines that the number of proximal femoral fractures is "1."

[0034] In Case 2, one medical consultation for the relevant injury / illness was performed in January, and one surgery for the relevant injury / illness was performed in the following month, February. Case 2 falls under the pattern indicated in the injury / illness pattern information, which states that "the surgery for the relevant injury / illness was performed within the month following the month in which the injury / illness was treated." Therefore, the injury / illness determination unit 122 determines that a proximal femoral fracture occurred in Case 2. Furthermore, since both the medical consultation for the relevant injury / illness and the surgery for the relevant injury / illness were performed once in Case 2, the injury / illness determination unit 122 also determines that the number of proximal femoral fractures is 1.

[0035] Case 3 is an example where one medical consultation for the relevant injury / illness was conducted in the first month, and the relevant surgery was performed once in the third month, two months later. Case 3 does not fall under the pattern indicated in the injury / illness pattern information, which states that "the relevant surgery was performed within the month following the month in which the relevant injury / illness was treated." In cases like this, where the pattern is not met, although a medical consultation for the relevant injury / illness was conducted, the correlation between the treated injury / illness and the subsequent surgery is low. In such a case as Case 3, the injury / illness determination unit 122 may determine that no proximal femoral fracture occurred. In this case, the number of proximal femoral fractures is determined to be zero.

[0036] In Case 4, two medical treatments for the relevant injury or illness were performed in January, and two surgeries for the relevant injury or illness were performed in February. Furthermore, one more medical treatment for the relevant injury or illness was performed in March, and one more surgery for the relevant injury or illness was performed in April. In this case 4, first, it can be seen that two combinations of medical treatment and surgery corresponding to the relevant injury / illness occurred, once each in the first and second months. In this case, it can be seen that two events corresponding to the pattern "the surgery was performed within the month following the month in which the injury / illness was treated" occurred. In this case, the injury / illness determination unit 122 determines that proximal femoral fractures occurred in the first and second months, and the number of occurrences is "2". Next, in case 4, one medical treatment corresponding to the injury / illness was performed in the third month, and one surgery was performed in the following month, the fourth month. The events in the third and fourth months in this case 4 correspond to the pattern indicated in the injury / illness pattern information, "the surgery was performed within the month following the month in which the injury / illness was treated". Therefore, the injury / illness determination unit 122 determines that proximal femoral fractures occurred in the third and fourth months in case 4, and the number of occurrences is "1". Therefore, in this case, the injury / illness determination unit 122 determines that proximal femoral fractures occurred from the first to the fourth month, and the number of occurrences is "3".

[0037] In Case 5, medical treatment for the relevant illness was performed once in the first and second months, and the relevant surgery was performed once in the third and fourth months. In this case, medical treatment for the relevant illness was performed in the first month, but the relevant surgery was not performed in the following month, the second month. In other words, the events in the first and second months do not fit the pattern of "the relevant surgery being performed within the month following the month in which the illness was treated." Next, the events in the second and third months do fit the pattern of "the relevant surgery being performed within the month following the month in which the illness was treated." Furthermore, one relevant surgery was performed in the following fourth month, but medical treatment for the relevant illness was not performed in the month preceding the surgery in the fourth month. For this reason, the events in the third and fourth months do not fit the pattern of "the relevant surgery being performed within the month following the month in which the illness was treated." Therefore, in this case, the injury / illness determination unit 122 determines that a proximal femoral fracture occurred in the second month, and the number of occurrences is "1".

[0038] Return to the explanation in Figure 3. The drug master storage unit 132 stores the drug master. The drug master is master data that stores information on drugs used to treat osteoporosis. In the drug master of this embodiment, drug information is stored in a manner that divides it into categories according to predetermined classification criteria.

[0039] Patient Database 133 is a database that stores information (patient information) about residents Cz (patients) who have been diagnosed with osteoporosis.

[0040] [Example of a procedure for determining the occurrence of injury or illness] Referring to the flowchart in Figure 6, an example of the processing procedure that the treatment support device 100 performs in response to the determination of the occurrence of a proximal femoral fracture will be explained. Step S100: In the treatment support device 100, the acquisition unit 121 acquires medical information for each resident Cz from the medical information database 12 of the local government 10. Since osteoporosis is a disease mainly affecting the elderly, the acquisition unit 121 may acquire medical information for each resident Cz who is above a certain age.

[0041] Step S102: The injury / illness determination unit 122 extracts residents Cz (individuals with the target injury / illness) that correspond to the target injury / illness based on the medical information for each resident Cz obtained in step S100. In this case, individuals with the target injury / illness are resident Cz who have been determined to have osteoporosis, and candidates include resident Cz who have received medical treatment for proximal femoral fracture at least once during a predetermined extraction period prior to the present. Specifically, in the processing shown in the figure, individuals with the target injury / illness are resident Cz who have received medical treatment for proximal femoral fracture at least once and who correspond to the pattern (occurrence conditions) shown in the injury / illness pattern information exemplified in Figure 4. The extraction period may, for example, be a period corresponding to an annual period, or a period corresponding to a monthly or weekly period.

[0042] The injury / illness determination unit 122, in extracting individuals who meet the criteria for the target injury / illness, determines for each resident Cz whether or not a proximal femoral fracture has occurred, as explained with reference to Figure 5. The injury / illness determination unit 122 extracts residents Cz who it has determined have a proximal femoral fracture as individuals who meet the criteria for the target injury / illness. The injury / illness determination unit 122 may also determine the number of proximal femoral fractures that occurred for each individual during the extraction period.

[0043] Step S104: The injury / illness determination unit 122 generates information (patient information) for each person with a target injury / illness extracted in step S102 and stores it in the patient database 133. Specifically, the injury / illness determination unit 122 generates a record for each person with a target injury / illness that stores information such as gender, age, address, date (year, month, day) when the target injury / illness occurred, and the number of occurrences of the target injury / illness, and stores the generated record (patient information) as patient information in the patient database 133. In the case of osteoporosis, the date (year, month, day) when the target injury / illness occurred can be set to the date of the fracture or the date of the surgery. Furthermore, each of the above pieces of information included in the patient information stored in the patient database 133 can be obtained from the medical information acquired in step S100. Alternatively, for example, the terminal of the medical institution 20 and the treatment support device 100 may be connected in a communication manner, and information entered by a user as a medical professional at the medical institution 20 by operating the terminal may be included in the patient information stored in the patient database 133.

[0044] [Example of patient count analysis results provided] The information provision unit 124 of the treatment support device 100 may, for example, transmit patient count analysis information based on patient information stored in the patient database 133 to the municipal terminal 11 in response to access from the municipal terminal 11. The municipal terminal 11 may display the received patient count analysis information.

[0045] Figure 7 shows an example of a patient count analysis screen displayed on the municipal terminal 11. The patient count analysis screen in Figure 7 is in the form of a dashboard showing the annual trend in the number of osteoporosis patients. The patient count analysis screen in the same figure shows an example where two aggregation areas, AR1 and AR2, are placed as widgets. Aggregation area AR1 shows the yearly trend in the number of patients for the entire patient population. Aggregation area AR2 divides the entire patient population into predetermined age groups and shows the yearly trend in the number of patients for each age group. Note that the patient classifications in aggregation area AR are not limited to age groups and may be changed as desired. In response to the display of such a patient count analysis screen, the information provision unit 124 may, for example, treat residents Cz who are said to have had a proximal femoral fracture stored in the patient database 133 as patients with osteoporosis and aggregate the number of patients.

[0046] The patient number analysis screen in Figure 7 is merely an example. For instance, the patient number analysis screen may also show the year-on-year trends in the number of patients by gender. Furthermore, information regarding the incidence of proximal femoral fractures, which are used to diagnose osteoporosis, may also be displayed.

[0047] [Regarding methods for determining treatment status] The treatment support device 100 of this embodiment can determine the treatment status of a patient with osteoporosis. The determination of the treatment status here is whether the patient is continuing treatment or has discontinued treatment.

[0048] In this case, the patients with osteoporosis whose treatment status is to be determined may be those whose patient information is stored in the patient database 133 through the process shown in Figure 6. Alternatively, the patients with osteoporosis whose treatment status is to be determined may be those who have been diagnosed with osteoporosis at a medical institution 20, etc., without going through the process shown in Figure 6. Below, we will explain using the case where patients whose patient information is stored in the patient database 133 are used as the subjects for determining the treatment status as an example.

[0049] Referring to Figures 8 and 9, the method for determining the treatment status using the treatment support device 100 of this embodiment will be explained with specific examples. Here, we will explain the case where the treatment status is determined for a single patient. First, let's explain the example of the determination method shown in Figure 8. This figure shows an example of the drug prescription status for one patient. The treatment status determination unit 123 in the treatment support device 100 acquires the patient's medical information from the local government's medical information database 12. In correspondence with the figure, the acquisition unit 121 may acquire medical information for a period including months 0 to 8.

[0050] Furthermore, in determining the treatment status, information about the dispensing of medications (drugs) shown in the medical information is used. Dispensing information is shown in the medical claim form in the medical information. For this reason, in this case, the acquisition unit 121 acquires the medical claim form as medical information and does not need to acquire the health checkup data. However, if the health checkup data shows a history of dispensing, etc., the acquisition unit 121 may also acquire the health checkup data.

[0051] The treatment status determination unit 123 refers to the drug prescription information for month 0 in the medical information acquired by the acquisition unit 121, and identifies that in month 0, a one-month supply of drug A for the following month (month 1) was prescribed. Here, the prescription period of the drug may be determined based on the number of days obtained by multiplying the dispensed quantity, the amount used, and the unit of use. The unit of use may be indicated by the number of days corresponding to the interval between days in which the drug is used. For example, the unit of use may be "1" for a drug prescribed to be used once a day, "30" for a drug prescribed to be used once a month, and "7" for a drug prescribed to be used once a week. Specifically, a prescription period of "28" with a dispensed quantity of "4", an amount used of "1", and a unit of use of "7" would be "28". A prescription period of "28" may be treated as equivalent to, for example, a one-month supply of the drug. In other words, prescription periods shorter than one month may be treated as prescription periods corresponding to one month. Note that the prescription of medication here may include the prescription of injectable medications or the administration of injections. In this case, since the first month is the prescription period for medication A prescribed in month 0, it corresponds to the period during which the patient uses medication A prescribed in month 0. The treatment status determination unit 123 sets the period of use as the first month as a waiting period Tw, assuming that the treatment is continuing. In this case, the treatment status determination unit 123 determines that the treatment is continuing for month 0.

[0052] In this embodiment, an example is given in which the minimum unit period for the waiting period Tw is set to one month. In this case, if the prescription period is shorter than one month, as in the prescription period of "28" above, the usage period may be set to one month to correspond to the minimum unit period for the waiting period Tw. Also, if the prescription period is longer than one month but shorter than two months, such as 35 days, the corresponding usage period and the waiting period Tw corresponding to that usage period may be set to two months.

[0053] Next, the treatment status determination unit 123 refers to the drug prescription information for the first month in the medical information and identifies that drug A for the three months from the second to the fourth month was prescribed in the first month. In this case, the three months from the second to the fourth month become the period during which the patient uses drug A prescribed in the first month, and the treatment status determination unit 123 sets the period from the second to the fourth month, which corresponds to this period of use, as the waiting period Tw. In this case, the treatment status determination unit 123 determines that treatment is continuing for the first month.

[0054] Next, the treatment status determination unit 123 sequentially refers to the drug prescription information for each month from February to April and identifies that no medication was prescribed in any of those months. However, since February to April is set as a waiting period Tw, the treatment status determination unit 123 determines that treatment has been continuing from February to April.

[0055] Next, the treatment status determination unit 123 refers to the drug prescription information for the fifth month in the medical information and identifies that drug A for one month, up to the following sixth month, was prescribed in the fifth month. In this case, the sixth month becomes the period during which the patient uses drug A prescribed in the fifth month, and the treatment status determination unit 123 sets the sixth month, which corresponds to this period of use, as the waiting period Tw. In this case, the treatment status determination unit 123 determines that treatment is continuing for the fifth month.

[0056] Next, the treatment status determination unit 123 refers to the drug prescription information for the sixth month in the medical information and identifies that no medication was prescribed in the current month. Since the sixth month is set as a waiting period Tw, the treatment status determination unit 123 determines that treatment is continuing for the sixth month.

[0057] Next, the treatment status determination unit 123 refers to the drug prescription information for the 7th month in the medical information and identifies that no medication was prescribed in the current month. The 7th month is a gap period after the waiting period Tw has elapsed. When a gap period occurs in such a month, the treatment status determination unit 123 determines that treatment was interrupted in the current month. In this case, it is determined that treatment was interrupted in the 7th month.

[0058] Next, the treatment status determination unit 123 refers to the drug prescription information for the 8th month in the medical information and identifies that, for example, one month's supply of drug A was prescribed again in the current month. Because treatment has resumed in this way, the treatment status determination unit 123 determines that treatment is continuing in the current month.

[0059] Next, we will explain an example of a judgment method shown in Figure 9. Figure 9 shows an example of a judgment method that corresponds to a case where the prescribed medication is changed during treatment, as an example of a drug prescription situation. In this figure, the same medication prescriptions as in Figure 8 were given from month 0 to month 4. Therefore, for each month from month 0 to month 4, the treatment status is judged to be the same as in Figure 8, with treatment continuing.

[0060] Next, the treatment status determination unit 123 refers to the drug prescription information for the fifth month in the medical information and identifies that drug A for two months, June and July, was prescribed in the fifth month. In this case, the two months from June to July become the period during which the patient uses drug A prescribed in the fifth month, and the treatment status determination unit 123 sets the two months from June to July, corresponding to this period of use, as the waiting period Tw. In this case, the treatment status determination unit 123 determines that treatment is continuing for the fifth month.

[0061] Next, the treatment status determination unit 123 sequentially refers to the drug prescription information for the 6th and 7th months and identifies that no medication was prescribed for either month. However, since the period from the 6th to the 7th month is set as a waiting period Tw, the treatment status determination unit 123 determines that treatment has continued from the 6th to the 7th month.

[0062] Next, the treatment status determination unit 123 refers to the drug prescription information for August and identifies that in August, drug B was prescribed for one month instead of drug A. When the drug is changed in this way, it is determined that the previous treatment has ended and a new treatment has started. Therefore, in this case, the treatment status determination unit 123 determines that the treatment newly started in August is continuing.

[0063] As shown in Figures 8 and 9, information on the treatment status of the determined patient may be stored in the memory unit 103. Specifically, the treatment status information may be stored in such a way that it is included in the corresponding patient information in the patient database 133. In this case, information indicating past treatment status may be stored in the memory unit 103 in such a manner. Alternatively, as shown in Figure 8 for month 8, if the medication is prescribed again after interruption, the treatment history prior to the interruption may be erased, and the treatment history from month 8 onward may be stored in the memory unit 103. Similarly, as shown in Figure 9 for month 8, if a new treatment is continued due to a change in prescribed medication, the treatment history prior to the change in medication may be erased, and the treatment history from month 8 onward may be stored in the memory unit 103. Alternatively, the system may choose not to store a history of past treatments, but instead store the treatment status for the most recent month in the memory unit 103.

[0064] Furthermore, medications may be prescribed for use periods of, for example, days or weeks. In such cases, the treatment status determination unit 123 may be configured to determine the treatment status on a daily or weekly basis. However, because the periods are too short on a daily or weekly basis, it may be difficult to properly determine whether the treatment is being continued or discontinued. Therefore, the treatment status determination unit 123 may determine the treatment status on a monthly basis, as shown in Figure 8, regardless of whether the period of use for which the drug is prescribed is on a daily, weekly, or monthly basis.

[0065] [Example of a procedure for determining treatment status] Referring to the flowchart in Figure 10, an example of a processing procedure executed by the treatment support device 100 in response to the determination of the treatment status will be explained. The figure shows an example of a processing procedure for determining the treatment status for one patient over a month. The processing in the figure starts when the treatment support device 100 has already acquired the medical information of the target patient.

[0066] Step S200: In the treatment support device 100, the treatment status determination unit 123 refers to the medical information for the target month.

[0067] Step S202: The treatment status determination unit 123 determines, based on the contents of the medical information referenced in step S200, whether or not a drug for treating osteoporosis was prescribed during the target month.

[0068] Step S204: If Step S202 determines that medication was prescribed in the target month, the treatment status determination unit 123 refers to the last prescription history from the previous month or earlier from the acquired medical information.

[0069] Step S206: The treatment status determination unit 123 determines whether the same medication was prescribed in the target month based on the last prescription history referenced in step S204.

[0070] Step S208: If it is determined in Step S206 that the same medication was prescribed in the target month as in the previous month, the treatment status determination unit 123 further determines whether the treatment status determined for the previous month was "discontinued".

[0071] Step S210: If it is determined in Step S208 that the treatment in the previous month was not interrupted, then the same medication as before was prescribed for the target month without going through a "disrupted" treatment status. In this case, the treatment status determination unit 123 determines that the treatment status for the target month is "continued".

[0072] Step S212: On the other hand, if it is determined in Step S208 that the treatment for the previous month was interrupted, then for the target month, the same medication as before was prescribed after going through a "disrupted" treatment status. In this case, the treatment status determination unit 123 determines that the treatment status for the target month is "continued," which corresponds to the resumption of treatment.

[0073] Step S214: If it is determined in Step S206 that the same medication as the previous time was not prescribed, then a different medication was prescribed in the target month. In this case, the treatment status determination unit 123 determines that the treatment status for the target month is "continued," corresponding to new treatment. If the patient was diagnosed with osteoporosis for the first time and the first medication was prescribed in the target month, there were no medications prescribed in previous months, so in Step S214, it is determined that the treatment is "continued" (under treatment), corresponding to new treatment.

[0074] Step S216: If it is determined in Step S202 that no medication was prescribed during the target month, the treatment status determination unit 123 refers to the last prescription history from the previous month or earlier from the acquired medical information.

[0075] Step S218: The treatment status determination unit 123 identifies the waiting period Tw corresponding to the last prescription based on the last prescription history referenced from the previous month or earlier.

[0076] Step S220: The treatment status determination unit 123 determines whether the target month falls within the waiting period specified in step S218. If the target month is determined to be within the waiting period, the treatment status determination unit 123 proceeds to step S210 and determines that the treatment status for the target month is "continued".

[0077] Step S222: If it is determined in Step S220 that the target month is not within the waiting period, the treatment status determination unit 123 determines that the treatment status for the target month is "interrupted".

[0078] The treatment status determination unit 123 performs the process shown in Figure 10 for each month included in the period subject to treatment status determination, corresponding to one patient. The treatment status determination unit 123 also determines the treatment status for each month included in the period subject to treatment status determination, for example, for each patient whose patient information is stored in the patient database 133. The treatment status determination unit 123 stores the treatment status information (treatment status information) determined for each patient in the storage unit 103. In this case, the treatment status information may be stored in such a way that it can be included in the corresponding patient record in the patient database 133.

[0079] [Example of treatment status analysis results provided] The information provision unit 124 of the treatment support device 100 may, for example, transmit treatment status analysis information based on patient-specific treatment status information stored in the storage unit 103 to the municipal terminal 11 in response to access from the municipal terminal 11. The municipal terminal 11 may display the received treatment status analysis information.

[0080] Figure 11 shows an example of a treatment status analysis screen displayed on the municipal terminal 11. The treatment status analysis screen in Figure 11 is shown as an example in a dashboard format. In the patient count analysis screen shown in the figure, the following widgets are placed: the retention rate aggregation area AR11, the medication change aggregation area AR12, the guidance area AR13, and the personal list button BT11.

[0081] The continuation rate summary area AR11 shows the treatment continuation rate for osteoporosis patients, categorized by the type of medication prescribed to the patient. In the same figure, continuation rate summary area AR11 shows the change in the continuation rate for each medication category, for example, from month 0 to month 12. Month 0 is, for example, the month in which medication prescription began for each corresponding patient. The continuation rate is calculated as the ratio of the total number of patients who started treatment in response to the onset of osteoporosis to the number of patients who started treatment and continued treatment without interruption. Furthermore, the classification of each drug used to treat osteoporosis (drug classification) is shown in the drug master stored in the drug master storage unit 132. The information provision unit 124 can generate the information presented in the continuation rate aggregation area AR11 by classifying patients according to the prescribed drug classification and deriving the treatment continuation rate for each patient prescribed a drug of the classified drug classification. Furthermore, in the continuation rate aggregation area AR11, a continuation rate that is not based on drug classification (for example, a continuation rate assuming that treatment continues even if the prescribed drug classification changes, rather than being considered discontinued) may also be shown.

[0082] The medication change summary area AR12 shows the status of changes (switches) in medications prescribed to patients during the course of treatment for osteoporosis, categorized by medication type. The period corresponding to the switch status shown in the medication change summary area AR12 may be, for example, the most recent fiscal year, but is not particularly limited. In the medication change summary area AR12 of the figure, the vertical axis represents the medication classification prescribed at the start of treatment (Classification 1 to Classification 7), and the "Number of Patients" column shows the number of patients prescribed each medication classification (Classification 1 to Classification 7) at the start of treatment. The horizontal axis represents the medication classification (Classification 1 to Classification 7) to which the prescription was changed during treatment, and in relation to the medication classification (Classification 1 to Classification 7) on the vertical axis, it shows the number of patients whose prescribed medication was changed from one medication classification to another. In addition, the "Discontinuation" column shows the number of patients whose treatment was discontinued for each initially prescribed medication classification. The medication change summary area AR12 may be displayed in a manner that allows it to be understood that a single patient has undergone multiple medication switches, for example, in the most recent fiscal year.

[0083] Guidance area AR13 is an area where guidance is presented in accordance with the analysis results of the treatment continuation rate shown in continuation rate aggregation area AR11. The content of the guidance in guidance area AR13 may be determined, for example, by the information provision unit 124 of the treatment support device 100 referring to a database of guidance content corresponding to each continuation rate analysis result. Alternatively, the information provision unit 124 of the treatment support device 100 may generate the guidance content to be presented in guidance area AR13 using a trained model that has learned the correspondence between the continuation rate analysis results and the guidance content.

[0084] The personal list button BT11 is used to display a personal list for each patient corresponding to the number of patients shown in the medication change summary area AR12. For example, a user operating the municipal terminal 11 first selects one of the patient count cells in the medication change summary area AR12, and then operates the personal list button BT11. In response to the operation of the personal list button BT11, a personal list is displayed showing information for each patient corresponding to the number of patients shown in the selected cell. Specifically, for example, if you select a cell at the intersection of "Category 1" on the vertical axis and "Category 4" on the horizontal axis, and then operate the personal list button BT11, a personal list of patients whose prescribed medications have changed from Category 1 to Category 4 will be displayed.

[0085] [Regarding the analysis of tests and medications] The treatment support system of this embodiment is capable of analyzing the examination and medication status of patients diagnosed with osteoporosis. Here, "medication" may be synonymous with prescribing drugs to patients. The examination and medication status is also included in the concept of treatment status.

[0086] Figure 12 shows a specific example of how the treatment support device 100 determines the status of examinations and medications for a single patient. Furthermore, in explaining this figure, we will use the example of a case where the determination is made on a monthly basis, similar to Figures 8 and 9.

[0087] The treatment status determination unit 123 of the treatment support device 100 identifies that a disease (osteoporosis) occurred in month 0 by referring to the medical information of one target patient. The occurrence of osteoporosis can be determined by whether or not a proximal femoral fracture occurred. In addition, the disease determination unit 122 may perform the identification of the occurrence of the disease (osteoporosis) instead of the treatment status determination unit 123.

[0088] Furthermore, the treatment status determination unit 123 refers to the medical information for month 0 and identifies that neither tests nor medications for osteoporosis were performed in month 0. In this case, the treatment status determination unit 123 determines that neither tests for osteoporosis nor medications for osteoporosis were performed in month 0. Therefore, the treatment status determination unit 123 determines the status of tests and medications for month 0 to be "not tested" and "not prescribed".

[0089] Furthermore, the treatment status determination unit 123 sets the six-month period from month 1 to month 6, following month 0 when osteoporosis occurred, as a follow-up period Ttr to track the history of examinations and medications corresponding to the onset of osteoporosis.

[0090] Next, the treatment status determination unit 123 refers to the medical information for the first month within the follow-up period Ttr to determine that tests for osteoporosis were performed in the first month. In this case, the treatment status determination unit 123 determines that the test and medication status as of the first month is "tested" and "not yet administered".

[0091] Next, the treatment status determination unit 123 refers to the medical information for the second month within the follow-up period Ttr to determine that tests for osteoporosis and medication for osteoporosis were administered in the second month. In this case, the treatment status determination unit 123 determines that the test and medication status as of the second month is "tested" and "medicated". When indicating the test and medication status, the status of the initial test and medication is not updated and is maintained.

[0092] The treatment status determination unit 123 refers to the medical information for each month from the 3rd to the 6th month within the follow-up period Ttr and identifies that neither the relevant examination nor the administration of medication was performed in each month from the 3rd to the 6th month. In this case, the treatment status determination unit 123 determines that the examination and medication status for each month from the 3rd to the 6th month are "examined" and "medication administered," respectively.

[0093] In the seventh month, after the follow-up period Ttr has elapsed, the status of examinations and medications up to that point is maintained. Therefore, the treatment status determination unit 123 determines that the examination and medication status for the seventh month is "examined" and "medicated." Although medication is administered in the seventh month, the history of that medication is not reflected in the status. The "medicated" status for the seventh month corresponds to the medication history for the second month.

[0094] In the following August, neither examinations nor medication were administered. Since the status of examinations and medications remains the same as before in August, the treatment status determination unit 123 determines that the examination and medication status for August is "examined" and "medication administered."

[0095] Next, it is shown that osteoporosis occurred again in September. In this case, the treatment status determination unit 123 identifies that osteoporosis occurred in the patient in question by referring to the medical information for September. In this case, the treatment status determination unit 123 updates the examination and medication status in response to the occurrence of new osteoporosis. Specifically, the treatment status determination unit 123 determines that the examination and medication status corresponding to the new osteoporosis is "not examined" and "not prescribed," and sets the status to "not examined" and "not prescribed" instead of the "examined" and "medicated" status that was maintained until the previous month in response to the osteoporosis that occurred in the previous month 0.

[0096] The treatment status determination unit 123 performs the above-described examination and medication status determination for each patient with osteoporosis. The treatment status determination unit 123 stores the examination and medication status information (examination and medication status information) determined for each patient in the storage unit 103. At this time, the examination and medication status information may be stored in such a way that it can be included in the corresponding patient record in the patient database 133.

[0097] [Example of providing analysis results on examination and medication status] The information provision unit 124 of the treatment support device 100 may, for example, transmit examination and medication status analysis information based on the examination and medication status information for each patient stored in the storage unit 103 to the municipal terminal 11 in response to access from the municipal terminal 11. The municipal terminal 11 may display the received examination and medication status analysis information.

[0098] Figure 13 shows an example of the examination and medication status analysis screen displayed on the municipal terminal 11. The treatment status analysis screen in Figure 13 is shown as an example in a dashboard format. In the patient count analysis screen shown in the figure, the following widgets are placed: the examination / medication status summary area AR21, the examination count summary area AR22, the guidance area AR23, and the personal list button BT21.

[0099] Area AR21, which summarizes the status of examinations and medications administered to patients with osteoporosis during a 6-month follow-up period (Ttr), presents the aggregated results of these examinations and medications. Specifically, Area AR21 shows the number of patients who underwent examinations and medications during the follow-up period (Ttr), the number of patients who underwent examinations but not medications, and the number of patients who underwent neither examinations nor medications.

[0100] The examination count aggregation area AR22 shows the number of patients who underwent examinations on a monthly basis during the follow-up period (Ttr) after the onset of osteoporosis. Furthermore, the same figure's examination count aggregation area AR22 also shows the number of patients separated by gender.

[0101] Instead of the examination count aggregation area AR22, a medication count aggregation area may be provided that displays the number of medications prescribed on a monthly basis to patients who underwent examinations during the follow-up period Ttr after the onset of osteoporosis. The monthly number of medications prescribed to patients who underwent examinations may be obtained by aggregating the number of medications prescribed on a monthly basis for each patient identified as having undergone an examination during the follow-up period Ttr after the onset of osteoporosis. Such presentation of monthly medication counts may be in a manner similar to that of the examination count aggregation area AR22. The monthly medication counts may also be displayed separately for men and women. Alternatively, both the examination count aggregation area AR22 and the medication count aggregation area may be provided on the treatment status analysis screen.

[0102] Guidance area AR23 is an area where guidance is provided based on the analysis results of the number of tests presented in the test count aggregation area AR22 and the number of medications presented in the medication count aggregation area. The guidance content in the guidance area AR23 may be determined, for example, by the information provision unit 124 of the treatment support device 100 referring to a database of guidance content corresponding to the analysis results of the number of tests and medications prescribed. Alternatively, the information provision unit 124 of the treatment support device 100 may generate the guidance content to be presented in the guidance area AR23 using a trained model that has learned the correspondence between the analysis results of the number of tests and medications prescribed and the guidance content.

[0103] The Personal List button BT21 is used to display the personal list of patients included in each of the three patient count items shown in the Examination / Medication Status Summary Area AR21.

[0104] [Regarding methods for determining secondary fractures] In the treatment of osteoporosis, it is desirable to also understand the occurrence of secondary fractures after the initial proximal femoral fracture. Therefore, the treatment support system of this embodiment may be configured to determine the occurrence of secondary fractures in patients diagnosed with osteoporosis.

[0105] Referring to Figure 14, the method for determining the occurrence of a secondary fracture by the injury / illness determination unit 122 of the treatment support device 100 in this embodiment will be explained with specific examples. Here, specific examples for three patients, patient A, patient B, and patient C, are shown. The fracture information (primary fracture and the relevant fracture) for each patient in the figure may be obtained from the patient database 133.

[0106] First, patient A suffered a primary fracture on a certain day. This primary fracture is a proximal femoral fracture. In the diagram, year 0 begins on the day the patient suffered the primary fracture. The injury / illness determination unit 122 sets the period from the date of the primary fracture until the end of the first year, which is two years after the date of the primary fracture, as the follow-up period Ttr1. If a fracture of a type corresponding to a secondary fracture (the relevant fracture) occurs within the follow-up period Ttr1, the injury / illness determination unit 122 determines that the fracture is a secondary fracture. Specifically, in the example shown in the figure, patient A develops the relevant fracture in the first year, before the follow-up period Ttr1, which was set in accordance with the primary fracture, has elapsed. In this case, since the relevant fracture occurred within the follow-up period Ttr1, the injury / illness determination unit 122 determines that the relevant fracture is a secondary fracture. In response to its determination that the injury is a secondary fracture, the injury / illness determination unit 122 invalidates the previous follow-up period Ttr1 and sets a new follow-up period Ttr2, starting from the period up to two years after the date the secondary fracture occurred. In other words, the follow-up period is reset to the same two-year period as follow-up period Ttr1, starting from the date the secondary fracture occurred.

[0107] Furthermore, in the case of patient B, a secondary fracture was determined to have occurred because the fracture occurred within the follow-up period Ttr1, which was set in response to the occurrence of the primary fracture, and the follow-up period Ttr2 was reset. Subsequently, the fracture occurred again during the follow-up period Ttr2. Accordingly, the injury / illness determination unit 122 determined that a secondary fracture occurred during the follow-up period Ttr2 and reset the period from the date of occurrence of the secondary fracture to two years thereafter as the follow-up period Ttr3.

[0108] Furthermore, in the case of patient C, the fracture did not occur during the follow-up period Ttr1, which was set according to the occurrence of the primary fracture, but the fracture occurred in the second year, after the follow-up period Ttr1 had elapsed. The injury / illness determination unit 122 determined that the fracture that occurred in this manner was not a secondary fracture.

[0109] [Example of providing secondary fracture statistics] The injury / illness determination unit 122 may store information regarding the occurrence of secondary fractures for each patient determined as shown in Figure 14 (secondary fracture occurrence information) in the storage unit 103. The secondary fracture occurrence information may include the date on which the secondary fracture occurred.

[0110] The information provision unit 124 of the treatment support device 100 may, for example, in response to access from a municipal terminal 11, perform aggregation on secondary fracture occurrences based on the secondary fracture occurrence information for each patient stored in the storage unit 103, and transmit secondary fracture aggregation information showing the aggregation results to the municipal terminal 11. The municipal terminal 11 may display a secondary fracture aggregation screen showing the contents of the received secondary fracture aggregation information.

[0111] Figure 15 shows an example of a secondary fracture summary screen displayed on the municipal terminal 11. In the secondary fracture summary screen shown in this figure, summary areas AR31 and AR32 are arranged to show the summary results of secondary fractures. Summary area AR31 is an area that shows the summary results for male patients. Summary area AR32 is an area that shows the summary results for female patients. A summary area that aggregates the results for both male and female patients together may also be provided.

[0112] In the aggregation area AR31, the number of male patients who experienced secondary fractures each year is shown in a bar graph, and the annual insured ratio of male patients who experienced secondary fractures is shown in a line graph. In addition, in the aggregation area AR31, the number of male patients who experienced secondary fractures by age group is shown in a line graph.

[0113] In the aggregation area AR32, the number of female patients who experienced secondary fractures each year is shown in a bar graph, and the annual insured ratio of female patients who experienced secondary fractures is shown in a line graph. In addition, in the aggregation area AR32, the number of female patients who experienced secondary fractures by age group is shown in a line graph.

[0114] As described above, according to the embodiment described above, by utilizing the medical information of residents collected by the local government 10, it is possible to extract patients with osteoporosis from among the residents and efficiently analyze the treatment status of the extracted patients (continuation or discontinuation of treatment, status of examinations and drug administration). Furthermore, the treatment support system of this embodiment can accurately determine whether a resident has osteoporosis based on the name of the illness or injury indicated in the resident's medical information, without having to, for example, contact each medical institution 20.

[0115] Furthermore, the diseases and injuries targeted for diagnosis and analysis by the treatment system of this embodiment are not limited to osteoporosis, but may include various other diseases and injuries, such as diabetes, hyperlipidemia, and respiratory diseases.

[0116] Furthermore, depending on the operation of the treatment support system, for example, the treatment support device 100 may be able to obtain medical information directly from the medical institution 20 without going through the local government 10.

[0117] Furthermore, the program for realizing the functions of the above-mentioned municipal terminal 11 (or medical institution terminal) and treatment support device 100 may be recorded on a computer-readable recording medium, and the program recorded on this recording medium may be loaded into a computer system and executed to perform the processing required to realize the functions of the above-mentioned municipal terminal 11 (or medical institution terminal) and treatment support device 100. Here, "loading the program recorded on the recording medium into a computer system and executing it" includes installing the program into the computer system. Here, "computer system" includes hardware such as the OS and peripheral devices. Also, "computer system" may include multiple computer devices connected via a network including communication lines such as the Internet, WAN, LAN, and dedicated lines. Also, "computer-readable recording medium" refers to portable media such as flexible disks, magneto-optical disks, ROMs, and CD-ROMs, and storage devices such as HDDs and SSDs built into the computer system. Thus, the recording medium storing the program may also be a non-transient recording medium such as a CD-ROM. Furthermore, the recording medium also includes internal or external recording media that can be accessed from a distribution server for distributing the program. The program code stored on the distribution server's recording medium may be different from the program code in an executable format on the terminal device. In other words, as long as it can be downloaded from the distribution server and installed in an executable format on the terminal device, the format in which it is stored on the distribution server is irrelevant. Furthermore, the program may be divided into multiple parts, downloaded at different times and then combined on the terminal device, and each of the divided programs may be distributed by a different distribution server. In addition, "computer-readable recording medium" includes volatile memory (RAM) within computer systems that act as servers or clients when a program is transmitted over a network, which holds the program for a certain period of time. Moreover, the above program may be intended to implement only a part of the functions described above.Furthermore, the above-mentioned functions may be implemented in combination with programs already recorded in the computer system, such as so-called differential files (differential programs).

[0118] <Note> (1) One aspect of this embodiment is a treatment support system comprising an acquisition means for acquiring medical information indicating the results of medical treatment received by a subject, and a treatment status determination unit for determining the treatment status of the subject based on the medical information acquired by the acquisition means.

[0119] (2) One aspect of this embodiment is the treatment support system described in (1), wherein the treatment status determination unit may determine the treatment status of the subject based on the status of drug prescriptions indicated in the medical information acquired by the acquisition means.

[0120] (3) One aspect of this embodiment is the treatment support system described in (2), wherein the treatment status determination unit may determine the treatment status of the subject by determining whether the drug prescription status is such that the same drug as in the first consultation was prescribed in the next consultation after the first consultation, without a predetermined gap period in which no drug prescription is given after the completion of a waiting period based on the determined usage period.

[0121] (4) One aspect of this embodiment is the treatment support system described in (3), wherein the treatment status determination unit determines that the treatment status is that treatment is continuing if the same medication as in the first medical treatment is prescribed in response to the next medical treatment without passing the gap period, and determines that the treatment status is that treatment has been interrupted if the same medication as in the first medical treatment is not prescribed in response to the last medical treatment without passing the gap period.

[0122] (5) One aspect of this embodiment is the treatment support system described in (3) or (4), wherein the treatment status determination unit may determine that the situation of the prescription of the drug is such that a different drug is prescribed for the next medical consultation without the gap period having passed, and that the situation of the treatment is such that the prescribed drug has been changed while the treatment is continuing.

[0123] (6) One aspect of this embodiment is a treatment support system according to any one of (3) to (5), wherein a unit period as the waiting period is defined, and the treatment status determination unit may be configured to correspond to the unit period for usage periods shorter than the unit period.

[0124] (7) One aspect of this embodiment is a treatment support system according to any one of (1) to (6), wherein the treatment status determination unit may determine the status of examinations or medications administered to the subject as the treatment status.

[0125] (8) One aspect of this embodiment is the treatment system described in (7), wherein the treatment status determination unit may determine that an examination or medication administered within a predetermined period after the onset of osteoporosis is a treatment performed in response to the osteoporosis.

[0126] (9) One aspect of this embodiment is the treatment support system described in (7) or (8), wherein the treatment status determination unit may determine that the status has been examined in accordance with the first examination performed after the onset of osteoporosis, or that the status has been administered in accordance with the first medication administered after the onset of osteoporosis.

[0127] (10) One aspect of this embodiment is a treatment support system according to any one of (1) to (9), which further comprises an information providing unit that transmits information indicating the treatment status such that information indicating the treatment status determined by the treatment status determination unit is displayed on a terminal.

[0128] (11) One aspect of this embodiment is a treatment support system according to any one of (1) to (10), further comprising an injury determination unit that determines that a predetermined type of fracture that has occurred is a secondary fracture that occurred in relation to the primary fracture, in response to the occurrence of a predetermined type of fracture during a certain follow-up period set in response to the occurrence of a primary fracture.

[0129] (12) One aspect of this embodiment is the treatment support system described in (11), wherein the injury / illness determination unit may reset the predetermined follow-up period in response to the determined secondary fracture.

[0130] (13) One aspect of this embodiment is a treatment support method in a treatment support system, the treatment support method comprising an acquisition step in which an acquisition means acquires medical information indicating the results of medical treatment received by a subject, and a treatment status determination step in which a treatment status determination unit determines the treatment status of the subject based on the medical information acquired in the acquisition step.

[0131] (14) One aspect of this embodiment is a program that causes a computer in a treatment support system to function as an acquisition means for acquiring medical information indicating the results of medical treatment received by a subject, and a treatment status determination unit for determining the treatment status of the subject based on the medical information acquired by the acquisition means. [Explanation of symbols]

[0132] 10 Local government, 11 Local government terminal, 12 Medical information database, 20 Medical institution, 100 Treatment support device, 101 Communication unit, 102 Control unit, 103 Storage unit, 121 Acquisition unit, 122 Injury / illness determination unit, 123 Treatment status determination unit, 124 Information provision unit, 131 Injury / illness pattern information storage unit, 132 Drug master storage unit, 133 Patient database

Claims

1. A means of obtaining medical information showing the results of the treatment received by the subject for osteoporosis, A treatment status determination unit determines the treatment status of the subject based on the medical information acquired by the acquisition means. A treatment support system equipped with the following features.

2. The treatment status determination unit determines the treatment status of the subject based on the drug prescription status indicated in the medical information acquired by the acquisition means. The treatment support system according to claim 1.

3. The treatment status determination unit identifies the duration of use of the medication prescribed to the subject in response to a single medical consultation, and determines the subject's treatment status based on whether, after the completion of a waiting period based on the identified duration of use, the same medication as in the first consultation was prescribed in response to the next consultation without any predetermined gap period during which no medication was prescribed. The treatment support system according to claim 2.

4. The treatment status determination unit determines that the treatment is continuing if the same medication prescribed for the previous consultation is prescribed for the next consultation without any gap period, and the treatment status is as described above. If the same medication prescribed during the initial consultation is not given at the final consultation without the aforementioned gap period, the treatment status will be determined to be one of interruption. The treatment support system according to claim 3.

5. The treatment status determination unit determines that, if the prescription status of the medication is such that a different medication is prescribed for the next medical consultation without any gap period, the treatment status is such that the prescribed medication has been changed while the treatment is continuing. The treatment support system according to claim 3 or 4.

6. A unit period is defined as the aforementioned waiting period. The treatment status determination unit shall, for usage periods shorter than the unit period, correspond to the unit period. The treatment support system according to claim 3 or 4.

7. The treatment status determination unit determines, based on the medical information acquired by the acquisition means, the status of examinations or medications administered to the subject as the treatment status. A treatment support system according to any one of claims 1 to 4.

8. The treatment status determination unit determines that any examinations or medications performed within a predetermined period after the onset of osteoporosis are examinations or medications performed in response to the osteoporosis. The treatment support system according to claim 7.

9. The treatment status determination unit determines whether the patient has been examined, based on the first examination performed since the onset of osteoporosis, or whether the patient has been administered medication, based on the first medication administered since the onset of osteoporosis. The treatment support system according to claim 7.

10. The system further includes an information providing unit that transmits information indicating the treatment status, determined by the aforementioned treatment status determination unit, so that the information indicating the treatment status is displayed on the terminal. A treatment support system according to any one of claims 1 to 4.

11. The system further includes an injury determination unit that determines, upon the occurrence of a predetermined type of fracture during a certain follow-up period set in response to the occurrence of a primary fracture, that the fracture of a predetermined type that occurred is a secondary fracture related to the primary fracture. A treatment support system according to any one of claims 1 to 4.

12. The injury / illness determination unit resets the predetermined follow-up period in accordance with the determined secondary fracture. The treatment support system according to claim 11.

13. A treatment support method in a treatment support system, The acquisition method involves an acquisition step of obtaining medical information showing the results of the treatment received by the subject for osteoporosis, and The treatment status determination unit determines the treatment status of the subject based on the medical information obtained in the acquisition step. Treatment support methods including

14. In a treatment support system, the computer is a means of acquiring medical information that shows the results of the treatment received by the subject for osteoporosis. A treatment status determination unit determines the treatment status of the subject based on the medical information acquired by the acquisition means. A program designed to function as such.

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