Medical service support device, method, and program

Abstract

To confirm a factor that affects a result of a medical practice in a medical service support device, a method, and a program.SOLUTION: A processor acquires practice information including date and time related to a medical practice and information related to an index value related to the medical practice, the date and time being included in a reference target period, which is a target period for analysis of an increase or decrease in the index value, and a comparison target period, which is a target period for comparison of the increase or decrease in the index value, derives a difference between a first statistical value of the information related to the index value in the comparison target period and a first statistical value of the information related to the index value in the reference target period for each of a plurality of item values of at least one item, derives an influence degree on the increase or decrease in the index value in the reference target period relative to the comparison target period for each item value of the item on the basis of a second statistical value based on the practice information in the reference target period and the difference, and performs display processing for displaying the influence degree for at least one item value included in the item.SELECTED DRAWING: Figure 4

Description

[Technical Field]

[0001] The present disclosure relates to a medical service support device, method, and program. [Background technology]

[0002] In medical institutions, various medical procedures such as medical interviews, diagnoses, examinations, treatments, and nursing care are performed on patients. Various methods have been proposed for analyzing the results of such medical procedures. For example, Patent Document 1 proposes a method for providing the reason for determining a failure (called an imaging error) in capturing a radiographic image and information for correcting the imaging error when performing an examination using a radiographic image. [Prior art documents] [Patent documents]

[0003] [Patent Document 1] Japanese Patent Publication No. 2023-106605 Summary of the Invention [Problem to be solved by the invention]

[0004] Although image defects occur for various reasons, the method described in Patent Document 1 provides the reason for determining each individual image defect. Therefore, when considering a certain period such as a month, it is not possible to statistically confirm which reasons or attributes are the main causes of image defects during that period.

[0005] The present disclosure has been made in consideration of the above circumstances, and aims to make it possible to identify statistical factors that affect the results of medical procedures. [Means for solving the problem]

[0006] A medical service support device according to the present disclosure includes at least one processor, The processor acquires activity information including information related to the date and time of the medical activity and an index value related to the medical activity, the date and time being included in a reference period to be analyzed for an increase or decrease in the index value and a comparison period to be compared with an increase or decrease in the index value; deriving a difference between a first statistical value of information related to index values ​​in a comparison period and a first statistical value of information related to index values ​​in a reference period for each of a plurality of item values ​​for at least one predetermined item; deriving, for each item value of at least one item, the degree of influence of the base period on the increase or decrease of the index value relative to the comparison period based on the second statistical value and the difference based on the behavior information in the base period; A display process is performed to display the influence of at least one item value included in at least one item.

[0007] The medical service support method according to the present disclosure acquires action information including information related to the date and time of a medical action and an index value related to the medical action, the action information including the date and time in a reference period to be analyzed for an increase or decrease in an index value and in a comparison period to be compared with an increase or decrease in an index value, deriving a difference between a first statistical value of information related to index values ​​in a comparison period and a first statistical value of information related to index values ​​in a reference period for each of a plurality of item values ​​for at least one predetermined item; deriving, for each item value of at least one item, the degree of influence of the base period on the increase or decrease of the index value relative to the comparison period based on the second statistical value and the difference based on the behavior information in the base period; A display process is performed to display the influence of at least one item value included in at least one item.

[0008] The medical work support program according to the present disclosure includes the steps of acquiring action information including information related to the date and time of a medical action and an index value related to the medical action, the action information including the date and time in a reference period to be analyzed for an increase or decrease in an index value and in a comparison period to be compared with an increase or decrease in an index value; deriving a difference between a first statistical value of information related to index values ​​in a comparison period and a first statistical value of information related to index values ​​in a reference period for each of a plurality of item values ​​for at least one predetermined item; deriving, for each item value of at least one item, the degree of influence of the base period on the increase or decrease of the index value relative to the comparison period based on the second statistical value and the difference based on the behavior information in the base period; and a procedure for performing a display process for displaying the degree of influence of at least one item value included in at least one item. [Effects of the Invention]

[0009] The present disclosure allows for the identification of statistical factors that influence the outcome of medical procedures. [Brief explanation of the drawings]

[0010] [Figure 1] FIG. 1 is a perspective view showing an overview of a medical information system to which a medical service support device according to an embodiment of the present disclosure is applied; [Figure 2] Diagram showing action information [Figure 3] FIG. 1 is a diagram illustrating a hardware configuration of a medical service support device according to an embodiment of the present disclosure. [Figure 4] FIG. 1 is a diagram illustrating a functional configuration of a medical service support device according to an embodiment of the present disclosure. [Figure 5] Diagram showing the display screen [Figure 6] Diagram showing the display screen [Figure 7] Diagram showing the display screen [Figure 8] A flowchart showing the processing performed in this embodiment [Figure 9] FIG. 10 is a diagram showing another example of the display of the influence degree display area on the display screen. [Figure 10] FIG. 10 is a diagram for explaining the correction of the influence degree. [Figure 11] FIG. 10 is a diagram showing another example of the main screen display. [Figure 12]FIG. 10 is a perspective view showing another overview of a medical information system to which a medical service support device according to an embodiment of the present disclosure is applied. [Figure 13] FIG. 10 is a diagram showing another example of the main screen display. DETAILED DESCRIPTION OF THE INVENTION

[0011] Hereinafter, an embodiment of the present disclosure will be described with reference to the drawings. First, the configuration of a medical service support system to which a medical service support device according to an embodiment of the present disclosure is applied will be described. FIG. 1 is a diagram showing a schematic configuration of the medical service support system. In the medical service support system 10 shown in FIG. 1, a medical service support device 1, a management server 2, and multiple client terminals 3 are connected to each other via a network 4 so that they can communicate with each other. The medical service support system 10 is a system used for at least one medical institution (e.g., a hospital) that handles multiple pieces of medical information.

[0012] The medical service support device 1 performs a process of analyzing the influence of increases and decreases in index values ​​related to medical practices by medical professionals for each predetermined item value, as will be described later, based on information acquired from the management server 2. In this embodiment, the medical service support device 1 performs a process of analyzing the influence of increases and decreases in the imaging failure rate for each predetermined analysis value, with regard to imaging failures that result in failures in medical image capture. The detailed configuration of the medical service support device 1 will be described later.

[0013] The management server 2 is composed of a server computer or the like that manages various types of information within the hospital transmitted from the client terminal 3. The management server 2 may be installed within the medical institution, or may be a cloud server installed on the cloud. In this embodiment, the management server 2 manages action information related to actions taken by medical professionals. In this disclosure, medical professionals are not limited to qualified personnel such as doctors, technicians, pharmacists, and nurses, but also include hospital staff who accept appointments for medical examinations or tests and guide patients, as well as unqualified personnel who assist qualified personnel. Note that the management server 2 may manage action information transmitted not only from one medical institution but also from multiple medical institutions.

[0014] The client terminal 3 is a terminal device owned by a medical professional in a medical institution. Examples of the client terminal 3 include a workstation, a personal computer, a tablet terminal, a smartphone, and a smartwatch. The client terminal 3 may also be the console of an imaging device such as an X-ray device, a CT (Computed Tomography) device, or an MRI (Magnetic Resonance Imaging) device installed in a medical institution.

[0015] A WAN (Wide Area Network) is an example of the network 4. Note that a WAN is merely an example, and the network 4 may be configured as at least one of a LAN (Local Area Network) and a WAN.

[0016] Information about actions performed by medical professionals is managed in the client terminal 3. The information about actions includes index values ​​related to the actions. The information about actions including index values ​​is associated with the date and time of the actions and managed in the client terminal 3. Furthermore, the information about actions managed in the client terminal 3 is transmitted together with the date and time to the management server 2 and managed as action information.

[0017] In this embodiment, the information managed by the client terminal 3 includes, for example, in the case of a doctor's client terminal 3, information such as the doctor's name, medical department, patient's name, patient's sex, patient's date of birth, consultation date and time, disease name, test details, test results, diagnosis details, treatment details, treatment results, surgery details, surgery results, whether the patient is hospitalized or outpatient, the patient's ward if hospitalized, reception time, and report creation time. Also, in the case of a laboratory's client terminal 3, information managed by the client terminal 3 includes the type of test, test room, test equipment, test date and time, technician's name, patient's name, patient's sex, patient's date of birth, whether the patient is hospitalized or outpatient, the patient's ward if hospitalized, reception time for the test, start time of the test, end time of the test, waiting time, requesting department, requesting doctor, appointment time for the test, appointment information for the test (same day, emergency, etc.), start time of the test, end time of the test, time when the test was entered into the client terminal 3, time when the test report was created, test status, and pathology request. In particular, when an examination room performs an examination involving the capture of medical images, the information managed on the client terminal 3 includes the type of modality used in the capture of medical images (radiography, CT, MRI, ultrasound, fluoroscopy, mammography, endoscopic, and in-vitro diagnostic equipment, etc.), the area to be imaged, the imaging menu, imaging conditions, whether or not there were any imaging failures (missing images), patient waiting time, imaging preparation time, imaging time, image adjustment time, examination report creation time, equipment washing and cleaning time, and index values ​​based on the images obtained.

[0018] Here, imaging conditions include the irradiation dose, exposure dose, dose index (EI: Exposure Index, DI: Deviation Index), tube voltage, mAs value, etc. in the case of radiography. Image-based index values ​​include the amount of noise in the image and sensitivity (S value), etc.

[0019] The management server 2 manages action information related to actions of medical professionals on a per-action basis by creating a database of information transmitted from the client terminal 3. Fig. 2 is a diagram showing an example of the database of action information managed by the management server 2. In this embodiment, the medical service support device 1 provides medical institutions with the degree of impact of increases or decreases in imaging errors, and therefore the database 7 of action information shown in Fig. 2 includes information for deriving the degree of impact of increases or decreases in imaging errors, such as the imaging menu and the presence or absence of imaging errors.

[0020] As shown in Figure 2, the action information database 7 includes, for each action, the patient ID, technician ID, imaging date and time, modality, imaging region, imaging menu, whether or not there was an imaging error, the reason for re-imaging, and other information. The modality is the type of imaging device, and includes X-ray imaging devices, CT devices, MRI devices, and ultrasound imaging devices. The imaging region is the region from which medical images are acquired, and includes the breast, lower limbs, chest, head, and abdomen. The imaging menu defines the procedures for performing imaging depending on the modality, and in the case of an X-ray imaging device, includes the left breast MLO, frontal chest, lateral knee joint, and frontal head. The information on whether or not there was an imaging error is "Yes" if the imaging failed and resulted in an imaging error, and "No" if the imaging was successful and resulted in no imaging error. The reason for re-imaging is the reason why the imaging error occurred and required re-imaging.

[0021] In addition, when taking X-ray images, imaging errors can occur due to reasons such as incorrect patient positioning (upper defect, internal rotation, external rotation), patient movement or insufficient inhalation, incorrect setting of imaging conditions, or detection of a foreign object.

[0022] Furthermore, in the management server 2, the database 7 of action information may be managed for each medical institution. Note that there are cases where multiple images are taken of the same patient in one examination. In such cases, the management server 2 may compile action information for each examination. In such cases, the database 7 of action information may include the number of images taken and the number of failed images in one examination.

[0023] In the case of photography, the date and time related to the medical procedure will be the date and time of photography, but it may also be at least one of the start date and time of the medical procedure, the end date and time of the medical procedure, the appointment date and time of the medical procedure, the reception date and time of the medical procedure, and the call date and time when the medical procedure is to be performed.

[0024] The medical service support device 1 may be a workstation or personal computer installed in a hospital, or may be a server computer installed on the cloud. A medical service support program according to this embodiment is installed in the medical service support device 1. The medical service support program is stored in an externally accessible state in a storage device of another server computer connected to a network or in network storage (neither of which is shown), and is downloaded and installed in the medical service support device 1 upon request. Alternatively, the program may be recorded on a recording medium such as a DVD (Digital Versatile Disc) or CD-ROM (Compact Disc Read Only Memory) and distributed, and then installed in the medical service support device 1 from the recording medium.

[0025] Fig. 3 is a diagram showing the hardware configuration of a medical service support device according to this embodiment. As shown in Fig. 3, the medical service support device 1 includes a CPU (Central Processing Unit) 11, a display 14, an input device 15, a memory 16, and a network I / F (Interface) 17 connected to a network 4. The CPU 11, the display 14, the input device 15, the memory 16, and the network I / F 17 are connected to a bus 19. The CPU 11 is an example of a processor in the present disclosure.

[0026] The memory 16 includes the storage unit 13 and a RAM (Random Access Memory) 18. The RAM 18 is a memory for primary storage, and is, for example, a RAM such as an SRAM (Static Random Access Memory) or a DRAM (Dynamic Random Access Memory).

[0027] The storage unit 13 is a non-volatile memory, and is realized by, for example, at least one of a hard disk drive (HDD), a solid state drive (SSD), an electrically erasable and programmable read-only memory (EEPROM), and a flash memory. The storage unit 13, which serves as a storage medium, stores the medical service support program 12 according to this embodiment. The CPU 11 reads the medical service support program 12 from the storage unit 13, expands it in the RAM 18, and executes the expanded medical service support program 12.

[0028] The display 14 is a device for displaying various screens, such as a liquid crystal display or an EL (Electro Luminescence) display. The input device 15 is a device for a user to input, such as at least one of a keyboard, a mouse, a microphone for voice input, a touchpad for proximity input including contact, and a camera for gesture input. The network I / F 17 is an interface for connecting to the network 4.

[0029] Next, the functional configuration of the medical service support device according to this embodiment will be described. Fig. 4 is a diagram showing the functional configuration of the medical service support device according to this embodiment. As shown in Fig. 4, the medical service support device 1 includes a reception unit 21, an information acquisition unit 22, a first derivation unit 23, a second derivation unit 24, a notification unit 25, and a display control unit 26. When the CPU 11 executes the medical service support program 12, the CPU 11 functions as the reception unit 21, the information acquisition unit 22, the first derivation unit 23, the second derivation unit 24, the notification unit 25, and the display control unit 26.

[0030] In this embodiment, the medical service support device 1 performs a process of analyzing the influence of medical staff's medical practice on an increase or decrease in an index value for each predetermined item value. Specifically, the medical service support device 1 performs a process of analyzing the influence of imaging errors, which are failures in capturing medical images, on an increase or decrease in an imaging error rate for each of a plurality of item values ​​for at least one predetermined item. The imaging error rate is an example of an index value of the present disclosure.

[0031] The reception unit 21 receives an analysis instruction from the client terminal 3 of the medical institution. At this time, the reception unit 21 receives a designation of a period for analysis input by an operator at the client terminal 3 of the medical institution that received the analysis instruction. Specifically, the reception unit 21 receives a designation of a reference target period T1 to be analyzed for an increase or decrease in the error rate, and a comparison target period T2 to be compared with the increase or decrease in the error rate, input by the operator at the client terminal 3.

[0032] The reference period T1 and the comparison period T2 may be the same length or different lengths. For example, the reference period T1 may be March and the comparison period T2 may be February, or the reference period T1 may be April and the comparison period T2 may be January to March. The start date and time of the reference period T1 may be before the start date and time of the comparison period T2. For example, the reference period T1 may be 4 / 1 to 4 / 30, and the comparison period T2 may be 3 / 1 to 3 / 31. Conversely, the start date and time of the reference period T1 may be after the start date and time of the comparison period T2. For example, the reference period T1 may be 3 / 1 to 3 / 31, and the comparison period T2 may be 4 / 1 to 4 / 30.

[0033] The information acquiring unit 22 acquires activity information whose dates and times of activities are included in the reference target period T1 and the comparison target period T2 from the management server 2. For example, if the reference target period T1 is from 2024 / 3 / 1 to 2024 / 3 / 31 and the comparison target period T2 is from 2024 / 2 / 1 to 2024 / 2 / 28, the information acquiring unit 22 acquires activity information whose dates and times of activities are from 2024 / 3 / 1 to 2024 / 3 / 31 and 2024 / 2 / 1 to 2024 / 2 / 28 from the management server 2.

[0034] Based on the activity information acquired by the information acquisition unit 22, the first derivation unit 23 derives, for each of a plurality of item values ​​for at least one predetermined item, a difference between a first statistical value of information related to index values ​​in the reference target period T1 and a first statistical value of information related to index values ​​in the comparison target period T2. In this embodiment, the index values ​​are imaging errors, and the first statistical value is the imaging error rate for each item value. Note that the first statistical value may be the average, median, sum, minimum, or maximum value for each item value instead of the imaging error rate for each item value. Note that the first statistical value can be derived as an average value or the like only when the information related to the index value is numerical. Here, as will be described later, information necessary to derive the imaging error rate is the presence or absence of imaging errors and the number of imaging shots. The presence or absence of imaging errors is included in the activity information, and the number of imaging shots in each of the reference target period T1 and the comparison target period T2 can be counted from the activity information. The presence or absence of imaging errors and the number of imaging shots counted from the activity information are examples of information related to index values ​​related to medical activities.

[0035] Here, the action information includes an imaging menu. The imaging menu is defined for each imaging region and includes, for example, a plurality of menus such as left breast MLO, chest standing front, knee joint lateral, and head front. The imaging menu is an example of an item in the present disclosure, and each menu included in the imaging menu is an example of an item value in the present disclosure. Note that, in the present disclosure, the item value includes text, but may also include a numerical value such as the imaging date and time.

[0036] As shown in FIG. 2, the activity information includes information on the presence or absence of a shooting error for each activity. The first derivation unit 23 derives the shooting error rate for each activity as a reference first statistical value R1 by dividing the total number of activities for which a shooting error was detected "yes" for each menu item for the reference target period T1 by the number of shots taken for each menu item. The first derivation unit 23 also derives the shooting error rate for each menu item as a comparative first statistical value R2 by dividing the total number of activities for which a shooting error was detected "yes" for each menu item for the comparison target period T2 by the number of shots taken for each menu item. The reference first statistical value R1 and the comparative first statistical value R2 may be expressed as decimals or percentages.

[0037] The first derivation unit 23 further derives the difference RS by subtracting the comparative first statistical value R2 from the reference first statistical value R1 for each menu included in the shooting menu. For example, if the reference first statistical value R1 is 30% and the comparative first statistical value R2 is 20%, the difference RS is +10%, and if the reference first statistical value R1 is 5% and the comparative first statistical value R2 is 10%, the difference RS is -5%.

[0038] The second derivation unit 24 derives the influence A0 on the increase or decrease of the index value in the reference target period T1 relative to the comparison target period T2 for each item value of at least one item based on the second statistical value and the difference RS, which are based on the behavior information in the reference target period T1. In this embodiment, the influence A0 is derived by multiplying the second statistical value by the difference RS.

[0039] In this embodiment, the second statistical value is the total number of shots taken for each menu item included in the activity information. Therefore, the second derivation unit 24 calculates the total number of shots taken for each menu item included in the shooting menu, and multiplies the calculated total by the difference RS to derive the influence A0 on the increase or decrease in shooting loss in the reference target period T1 relative to the comparison target period T2. For example, if the difference RS for a certain menu item is +5% and the total number of shots taken is 100, the influence A0 is derived as +5.0.

[0040] The notification unit 25 notifies the client terminal 3 of the derivation of the impact level A0 by the second derivation unit 24. Any method of notification can be used, for example, email, SMS (short message service), telephone, or notification by application. Note that the notification may simply notify that the derivation of the impact level A0 by the second derivation unit 24 has been completed, or may also notify the result of the derivation of the impact level A0.

[0041] The notification unit 25 may issue a notification when the second derivation unit 24 derives the impact A0, or may issue a notification only when the derived impact A0 satisfies a predetermined condition. For example, the notification may be issued when the number of menu items with impact A0 exceeding a predetermined threshold Th1 exceeds a predetermined threshold Th2. Alternatively, the standard deviation σ of the impact A0 may be derived, and the notification may be issued when the impact A0 exceeds, for example, 3σ. Alternatively, the notification may be issued when the number of times the impact A0 exceeds a predetermined threshold Th3 for each menu item in the shooting menu exceeds an upper limit.

[0042] The display control unit 26 performs a display process for displaying the impact A0 derived by the second derivation unit 24 on the client terminal 3. The display process may be either transmitting information required to display the impact A0 on the client terminal 3 to the client terminal 3, or generating a display screen for displaying the impact A0 and transmitting the generated display screen to the client terminal 3.

[0043] 5 is a diagram showing a display screen of the influence level displayed on the client terminal 3. As shown in FIG.

[0044] The period area 41 is an area that displays the reference period T1 and the comparison period T2 specified by the operator.

[0045] The selection area 42 includes a "Dashboard" item 42A, an "Increase in Image Loss by Technician" item 42B, an "Increase in Image Loss by Body Part" item 42C, an "Image Loss Rate" item 42D, and an "Number of Images" item 42E. When the operator selects the "Dashboard" item 42A in the selection area 42, an impact area 44 is displayed in the main area 43. In FIG. 5, a menu area 44A for displaying the top three menus (menus A, C, and X) with the highest impact A0 among the imaging menus, and a menu area 44B for displaying the bottom three menus (menus B, F, and D) with the lowest impact A0 are displayed in the impact area 44. An "Increase" mark 45A is added to the menu area 44A, and a "Decrease" mark 45B is added to the menu area 44B. This shows that shooting using the menu displayed in menu area 44A has a greater impact on increasing image defects compared to the comparison period T2, and shooting using the menu displayed in menu area 44B has a greater impact on reducing image defects compared to the comparison period T2.

[0046] In addition, by selecting the menu display in the impact area 44 with the mouse cursor or the like, the impact A0 and the failure rate for the selected menu can be displayed in a pop-up 46. In Fig. 5, menu A in the menu area 44A is selected, and the impact (+5.8) ​​and failure rate (+7.8%) for menu A are displayed in the pop-up 46.

[0047] Furthermore, when the operator selects item 42B for "Increase in image defects by technician," the increase in image defects by technician is displayed in table 47 in the main area 43, as shown in Fig. 6. Table 47 displays the technician ID and the top three menus with the highest impact on the increase in image defects for the technician with the technician ID as menu No. 1, menu No. 2, and menu No. 3. Although not shown, when the operator selects item 42C for "Increase in image defects by part," the increase in image defects by part is displayed in the main area 43 as a table.

[0048] Furthermore, when the operator selects the "failure rate" item 42D, a line graph 50 of the failure rate is displayed in the main area 43, as shown in FIG. 7. In the line graph 50, the vertical axis represents the failure rate, and the horizontal axis represents the individual menu items in the shooting menu, arranged from left to right in descending order of impact. A degree of impact 51 of the failures derived for each menu item is displayed between the graph and the menu display. Note that, in addition to the line graph 50 of the failure rate, the display screen 40 shown in FIG. 7 also displays a bar graph 52 representing the number of failures. The top three menu items with the highest impact are marked with a diagonal line mark 54. The mark 54 may be a specific color instead of a diagonal line. Note that a mark may also be added to the bottom three menu items with the lowest impact. Although not shown, when the operator selects the "number of shots" item 42E, a graph of the number of shots is displayed in the main area 43.

[0049] Next, the processing performed in this embodiment will be described. FIG. 8 is a flowchart showing the processing performed in this embodiment. The processing is started when the operator issues an instruction from the client terminal 3, and the reception unit 21 receives the designation of the reference target period T1 and the comparison target period T2 input by the operator from the client terminal 3 (step ST1). Next, the information acquisition unit 22 acquires activity information whose dates and times are included in the reference target period T1 and the comparison target period T2 from the management server 2 (step ST2). Next, the first derivation unit 23 derives the difference RS between the reference first statistical value R1 of the index value in the reference target period T1 and the comparative first statistical value R2 of the index value in the comparison target period T2 for each of a plurality of item values ​​for at least one predetermined item, based on the activity information acquired by the information acquisition unit 22 (difference derivation; step ST3).

[0050] Next, the second derivation unit 24 derives the influence A0 of the index value increase or decrease in the reference target period T1 relative to the comparison target period T2 for each item value of at least one item based on the second statistical value and the difference RS based on the behavior information in the reference target period T1 (step ST4). Subsequently, the notification unit 25 notifies the client terminal 3 that the influence A0 has been derived (step ST5). Furthermore, the display control unit 26 performs a display process to display the influence A0 on the client terminal 3 (step ST6), and the process ends.

[0051] In this way, in this embodiment, the degree of influence on the increase or decrease of the index value is calculated for each of a plurality of item values ​​for at least one predetermined item, and the degree of influence is displayed for each item value for at least one item. Therefore, it is possible to check which item values ​​statistically influence the index value based on the magnitude of the influence A0, and as a result, it is possible to identify the statistical factors that influence the increase or decrease of the index value.

[0052] In the above embodiment, the display screen 40 displays the impact of each menu item included in the imaging menu, but this is not limited to this. It is also possible to display the impact of only the top menu item with the highest impact, or only the bottom menu item with the lowest impact. Regarding the impact of an increase in imaging errors for each technician shown in FIG. 6, it is also possible to display the impact of an increase in imaging errors for only one technician, not just multiple technicians.

[0053] Furthermore, in the above embodiment, the influence degree is derived for each item, i.e., for each menu item in the imaging menu. However, this is not limiting. For example, the influence degree may be derived for each of multiple item values ​​for each of multiple items. For example, in addition to or instead of the imaging menu described above, the influence degree for each technician, each imaging region, and each requested department may be derived. In this case, as shown in FIG. 9, the influence degree area 44 of the display screen 40 may display the top three and bottom three items of influence degree derived for all of the imaging menu, technician, imaging region, and requested department. Even in this case, by selecting the menu display in the influence degree area 44 with a mouse cursor or the like, the influence degree A0 and the imaging failure rate for the selected menu can be displayed in a pop-up 46. In FIG. 9, "2. Menu - Lateral Knee Joint" is selected in the menu area 44A, and the influence degree (+4.7) and imaging failure rate (+2.5%) for the selected menu are displayed in a pop-up 46.

[0054] Furthermore, in the above embodiment, the derived influence degree may be corrected based on the distribution of the first statistical value over a period longer than the reference target period T1 or the comparison target period T2. For example, the average and standard deviation of the failure rate over the past five months may be derived as the distribution of the first statistical value, the distance of the standard deviation σ from the average may be derived, and the influence degree derived for the reference target period T1 may be corrected based on the distance.

[0055] FIG. 10 is a diagram for explaining the correction of the influence. In FIG. 10, the number of missed images, the number of shots, the miss rate, the difference in the miss rate from the previous month, the influence, the average miss rate for the past five months, the standard deviation of the miss rate for the past five months, the σ distance from the average, and the corrected influence are shown in a table, assuming that each month from January to October 2023 (Jan. 23 to Oct. 23) is the reference period T1 and the previous month is the comparison period T2. The σ distance from the average is calculated by dividing the absolute value of the miss rate minus the average miss rate for the past five months by the standard deviation of the miss rate for the past five months. The corrected influence is calculated by multiplying the influence by (1 + σ distance from the average / 3). In FIG. 10, the influence is not corrected for January to April, for which there is no data for the past five months.

[0056] In this case, the influence is corrected so that the absolute value of the influence increases as the error rate derived in the reference target period T1 deviates from the average error rate for the past five months. As a result, the influence increases for menus with the same increase or decrease in error rate and number of shots, and menus with a higher error rate than usual. Therefore, it is possible to identify menus with an unusually high error rate.

[0057] In the above embodiment, the variation in influence may be derived for each item value of a second item different from the first item from which the influence is derived, and a display process may be performed to further display the variation. For example, the influence A0 may be derived for each imaging region as described above, and the variation in influence for each technician for the influence for each imaging region may be derived. For example, the standard deviation of the influence for each technician for each imaging region may be used as the variation.

[0058] Fig. 11 is a diagram showing a display screen of the variation in influence degree for each radiologist for each radiography region. Fig. 11 shows only the graph displayed in the main area 43 shown in Fig. 5. A graph 60 shown in Fig. 11 includes a line graph 61 of the error rate and a bar graph 62 of the number of errors. The horizontal axis represents the radiography region, and Fig. 11 shows the names 63 of the regions: head, breast, abdomen, neck, lower limbs, pelvis, upper limbs, and chest. Below the names 63 of the regions, the influence degree 64 is shown, and below the influence degree 64, the variation 65 in influence degree for each radiologist for each region is shown as the value of standard deviation σ.

[0059] This makes it possible to check the variation in the impact of each technician with respect to the impact of each part, and the results can be used for training to improve technicians' skills. For example, if the variation between technicians is large, it is possible that a specific technician has a large number of errors, so guidance can be provided to the technician whose derived impact deviates from the average. If the impact is large and the variation is small, it is possible that many technicians have a large number of errors for that part, so guidance can be provided to all technicians.

[0060] In the above embodiment, the difference is calculated based on the activity information managed in a certain medical institution, and the impact degree is calculated, but this is not limited to this. As shown in Fig. 12, the management server 2 may manage the activity information of multiple medical institutions 9A to 9C, and the medical service support device 1 may derive the impact degree of a certain medical institution (for example, medical institution 9A) on the increase or decrease of the index value by taking into account the impact degrees of other medical institutions 9B and 9C.

[0061] In this case, the reception unit 21 receives an instruction from the client terminal 3 of the medical institution 9A to perform an analysis that takes into account the influence of other medical institutions 9B and 9C. The information acquisition unit 22 acquires behavior information about multiple medical institutions 9B and 9C, including the medical institution 9A, from the management server 2. The first derivation unit 23 derives the difference (referred to as the first difference RS1) of the first statistical value for the medical institution 9A for each item value during the reference period T1 and the comparison period T2. The first derivation unit 23 also derives the difference (referred to as the second difference RS2) of the first statistical value for the multiple medical institutions 9B and 9C, including the medical institution 9A, for each item value during the reference period T1 and the comparison period T2.

[0062] The second derivation unit 24 derives the influence (referred to as the first influence A1) of the medical institution 9A on the increase or decrease in the index value of the reference target period T1 relative to the comparison target period T2 based on the first difference RS1 and the second statistical value for the medical institution 9A. The second derivation unit 24 also derives the influence (referred to as the second influence A2) of the reference target period T1 on the increase or decrease in the index value of the comparison target period T2 based on the second difference RS2 and the second statistical value for the medical institution 9A. Note that both the first influence A1 and the second influence A2 may be derived, or only the second influence A2 may be derived.

[0063] The display control unit 26 performs processing for displaying the first influence A1 and the second influence A2. FIG. 13 is a diagram showing a display screen of influences taking into account the influences of multiple medical institutions. FIG. 13 shows only the graph displayed in the main area 43 shown in FIG. 5. A graph 70 shown in FIG. 13 includes a line graph 71 of the error rate at the medical institution 9A and a bar graph 72 of the number of errors. The horizontal axis represents the imaging region, and FIG. 13 shows region names 73 of the head, breast, abdomen, neck, lower limbs, pelvis, upper limbs, and chest, as in FIG. 11. Below the region name 73, the first influence A1 for the medical institution 9A is shown, and below the first influence A1, the second influence A2 derived for the medical institutions 9A to 9C is displayed.

[0064] By deriving the second influence A2 in this manner, the medical institution that requested the analysis can obtain analysis results of the increase or decrease in the index value of its own medical institution, taking into account the increase or decrease in the index value of other medical institutions.

[0065] In the above embodiment, the degree of influence may be displayed as a graph such as a line graph or a bar graph.

[0066] In the above embodiment, the first statistical value is the failure rate, but this is not limiting. For example, the cause of re-photographing included in the action information shown in FIG. 2 may be used as an item value, and the number of failures for each cause of re-photographing in each of the reference target period T1 and the comparison target period T2 may be used as the first statistical value. In this case, the number of failures may be derived by counting the number of failures in each of the reference target period T1 and the comparison target period T2.

[0067] In the above embodiment, the receiving unit 21 receives the designation of the reference target period T1 and the comparison target period T2, but this is not limiting. It is also possible to perform analysis on a predetermined reference target period T1 and comparison target period T2 without receiving the designation of the reference target period T1 and the comparison target period T2.

[0068] In the above embodiment, the following various processors can be used as the hardware structure of processing units that perform various processes, such as the reception unit 21, the information acquisition unit 22, the first derivation unit 23, the second derivation unit 24, the notification unit 25, and the display control unit 26. As described above, the various processors include a CPU, which is a general-purpose processor that executes software (programs) and functions as various processing units, as well as dedicated electrical circuits that are processors having a circuit configuration specifically designed to perform specific processes, such as a GPU (Graphics Processing Unit), a Programmable Logic Device (PLD), which is a processor whose circuit configuration can be changed after manufacture, such as an FPGA (Field Programmable Gate Array), and an ASIC (Application Specific Integrated Circuit).

[0069] A single processing unit may be configured with one of these various processors, or may be configured with a combination of two or more processors of the same or different types (for example, a combination of multiple FPGAs or a combination of a CPU and an FPGA). Also, multiple processing units may be configured with a single processor.

[0070] Examples of configuring multiple processing units with a single processor include, first, a form in which one processor is configured with a combination of one or more CPUs and software, and this processor functions as multiple processing units, as typified by computers such as client and server. Second, a form in which a processor is used to realize the functions of an entire system including multiple processing units with a single IC (Integrated Circuit) chip, as typified by systems on chips (SoCs). In this way, various processing units are configured using one or more of the above-mentioned various processors as a hardware structure.

[0071] Furthermore, more specifically, the hardware structure of these various processors can be an electric circuit that combines circuit elements such as semiconductor elements.

[0072] The following are appendices to the present disclosure. (Additional note 1) at least one processor; The processor: Acquire action information including a date and time related to a medical action and information related to an index value related to the medical action, the date and time being included in a reference period to be analyzed for an increase or decrease in the index value and a comparison period to be compared with an increase or decrease in the index value; deriving a difference between a first statistical value of information related to the index value in the comparison period and a first statistical value of information related to the index value in the reference period for each of a plurality of item values ​​for at least one predetermined item; deriving an influence of the reference period on an increase or decrease in the index value relative to the comparison period for each item value of the at least one item based on a second statistical value based on the behavior information in the reference period and the difference; A medical service support device that performs display processing for displaying the degree of influence for the at least one item value included in the at least one item. (Additional note 2) 2. The medical service support device according to claim 1, wherein the medical practice includes at least one of a medical interview, an examination, treatment, and nursing. (Additional note 3) The medical support device according to claim 1 or 2, wherein the index value includes at least one of an index value indicating whether or not the medical procedure failed, the time related to the medical procedure, an index value of the amount of radiation generated by the medical procedure, and an index value based on an image obtained by the medical procedure. (Additional note 4) The medical service support device according to any one of appendix 1 to 3, wherein the date and time related to the medical procedure includes at least one of the start date and time of the medical procedure, the end date and time of the medical procedure, the appointment date and time of the medical procedure, the reception date and time of the medical procedure, and the call date and time when the medical procedure is to be performed. (Additional note 5) 5. The medical service support device according to any one of appended items 1 to 4, wherein the processor performs a display process for displaying the degree of influence for each item value in ascending or descending order. (Additional note 6) The medical business support device described in appendix 5, wherein the processor performs display processing to display the impact for a predetermined number of item values ​​having a large or small impact, distinguishing it from the impact for other item values. (Additional note 7) the processor accepts a designation of a second item different from a first item that is the item from which the impact degree is derived; A medical service support device according to any one of appendix 1 to 6, which performs a display process for displaying the plurality of item values ​​in an order according to the degree of influence for at least one item value included in the second item. (Additional note 8) The medical service support device according to any one of appendix 1 to 7, wherein the processor performs display processing to display the first statistical value for the reference target period for each item value in addition to the impact degree. (Additional note 9) The medical service support device according to appended claim 8, wherein the processor performs a display process for displaying at least one of the influence degree, the first statistical value, and the second statistical value in a graph. (Additional note 10) the processor derives the difference for each of the plurality of item values ​​for each of the plurality of items; deriving the influence degree for each of the plurality of item values ​​for each of the plurality of items; 10. The medical service support device according to any one of claims 1 to 9, which performs a display process for displaying the degree of impact for at least one item value included in each of the plurality of items. (Additional note 11) The medical service support device according to any one of appendix items 1 to 10, wherein the processor corrects the degree of influence based on the distribution of the first statistical value in a specific period longer than the reference period or the comparison period, and performs display processing to display the corrected degree of influence. (Additional note 12) 12. The medical service support device according to any one of appendices 1 to 11, wherein the processor notifies an external device of the derived impact degree. (Additional note 13) 13. The medical service support device according to claim 12, wherein the processor notifies the degree of impact when the derived degree of impact satisfies a predetermined condition. (Additional note 14) the processor derives a variation in the degree of influence for each item value of a second item that is different from a first item that is the item for which the degree of influence is derived; 14. The medical service support device according to any one of appended items 1 to 13, wherein a display process is performed to further display the variation. (Additional note 15) the processor derives the difference as a first difference based on the activity information for a first medical institution among a plurality of medical institutions; deriving a difference between a first statistical value of information related to the index value in the comparison period and a first statistical value of information related to the index value in the reference period as a second difference based on the activity information for the plurality of medical institutions; Instead of or in addition to the influence degree, deriving another influence degree on the increase or decrease of the index value in the reference period relative to the comparison period for each item value of the at least one item based on the first difference, the second difference, and the second statistical value for the first medical institution; 15. The medical service support device according to any one of appended items 1 to 14, wherein a display process is performed to display the other degree of impact instead of or in addition to the degree of impact. (Additional note 16) The processor: 16. The medical service support device according to any one of appended claims 1 to 15, which accepts designation of the reference period and the comparison period. (Additional note 17) Acquire action information including a date and time related to a medical action and information related to an index value related to the medical action, the date and time being included in a reference period to be analyzed for an increase or decrease in the index value and a comparison period to be compared with an increase or decrease in the index value; deriving a difference between a first statistical value of information related to the index value in the comparison period and a first statistical value of information related to the index value in the reference period for each of a plurality of item values ​​for at least one predetermined item; deriving an influence of the reference period on an increase or decrease in the index value relative to the comparison period for each item value of the at least one item based on a second statistical value based on the behavior information in the reference period and the difference; A medical service support method that performs a display process for displaying the degree of influence for the at least one item value included in the at least one item. (Additional note 18) acquiring action information including a date and time related to a medical action and information related to an index value related to the medical action, the date and time being included in a reference period to be analyzed for an increase or decrease in the index value and a comparison period to be compared with an increase or decrease in the index value; deriving a difference between a first statistical value of information related to the index value in the comparison period and a first statistical value of information related to the index value in the reference period for each of a plurality of item values ​​for at least one predetermined item; deriving, for each item value of the at least one item, an influence of the reference period on an increase or decrease in the index value relative to the comparison period based on a second statistical value based on the behavior information in the reference period and the difference; and a procedure for performing a display process for displaying the degree of influence for the at least one item value included in the at least one item. [Explanation of symbols]

[0073] 1 Medical business support equipment 2 Management Server 3. Client terminal 4 Network 7. Database of behavioral information 9A~9C Medical institutions 10 Medical business support system 11 CPU 12 Medical Business Support Program 13 Storage section 14 Display 15 Input Devices 16 memory 17 Network I / F 18 RAM 19 Bus 21 Reception 22 Information Acquisition Department 23 First derivation part 24 Second Derivation 25 Notification Department 26 Display control unit 40 display screen 41 Period area 42 Menu Area 42A~42E items 43 Main Area 44 Impact Area 44A, 44B Menu area 45A Increase Mark 45B Mark of Decrease 46 Pop-up 47 Tables 50,61,71 Line graph 51 Impact 52,62,72 Bar graph 54 marks 60,70 graph 63,73 Part name 64 Impact 65 Variation

Claims

1. at least one processor; The processor: Acquire action information including a date and time related to a medical action and information related to an index value related to the medical action, the date and time being included in a reference period to be analyzed for an increase or decrease in the index value and a comparison period to be compared with an increase or decrease in the index value; deriving a difference between a first statistical value of information related to the index value in the comparison period and a first statistical value of information related to the index value in the reference period for each of a plurality of item values ​​for at least one predetermined item; deriving an influence of the reference period on an increase or decrease in the index value relative to the comparison period for each item value of the at least one item based on a second statistical value based on the behavior information in the reference period and the difference; A medical service support device that performs display processing for displaying the degree of influence for the at least one item value included in the at least one item.

2. The medical service support device according to claim 1 , wherein the medical practice includes at least one of a medical interview, an examination, treatment, and nursing care.

3. 3. The medical support device according to claim 1, wherein the index value includes at least one of an index value indicating whether the medical procedure failed, a time period related to the medical procedure, an index value of the amount of radiation generated by the medical procedure, and an index value based on an image obtained by the medical procedure.

4. 2. The medical support device according to claim 1, wherein the dates and times related to the medical procedure include at least one of the start date and time of the medical procedure, the end date and time of the medical procedure, the appointment date and time of the medical procedure, the reception date and time of the medical procedure, and the call date and time when the medical procedure is to be performed.

5. The medical service support device according to claim 1 , wherein the processor performs a display process for displaying the degree of influence for each item value in ascending or descending order.

6. The medical business support device of claim 5, wherein the processor performs display processing to display the impact of a predetermined number of item values ​​having a large or small impact, distinguishing it from the impact of other item values.

7. the processor accepts a designation of a second item different from a first item from which the impact degree is derived; The medical service support device according to claim 1 , further comprising: a display process for displaying the plurality of item values ​​in an order according to the degree of influence for at least one item value included in the second item.

8. The medical service support device according to claim 1 , wherein the processor performs display processing for displaying the first statistical value for the reference target period for each item value in addition to the degree of influence.

9. The medical service support device according to claim 8 , wherein the processor performs display processing for displaying at least one of the influence degree, the first statistical value, and the second statistical value in a graph.

10. the processor derives the difference for each of the plurality of item values ​​for each of the plurality of items; deriving the influence degree for each of the plurality of item values ​​for each of the plurality of items; The medical service support device according to claim 1 , further comprising: a display process for displaying the degree of influence of at least one item value included in each of the plurality of items for each of the plurality of items.

11. The medical business support device of claim 1, wherein the processor corrects the impact based on the distribution of the first statistical value in a specific period longer than the reference period or the comparison period, and performs display processing to display the corrected impact.

12. The medical service support device according to claim 1 , wherein the processor notifies an external device of the derived impact degree.

13. The medical service support device according to claim 12 , wherein the processor notifies the degree of impact when the derived degree of impact satisfies a predetermined condition.

14. the processor derives a variation in the degree of influence for each item value of a second item that is different from a first item that is the item for which the degree of influence is derived; The medical service support device according to claim 1 , further comprising a display process for further displaying the variance.

15. the processor derives the difference as a first difference based on the action information for a first medical institution among a plurality of medical institutions; deriving a difference between a first statistical value of information related to the index value in the comparison period and a first statistical value of information related to the index value in the reference period as a second difference based on the activity information for the plurality of medical institutions; deriving, instead of or in addition to the influence degree, another influence degree on the increase or decrease of the index value in the reference period relative to the comparison period for each item value of the at least one item based on the first difference, the second difference, and the second statistical value for the first medical institution; 2. The medical service support device according to claim 1, wherein a display process is performed to display the other degree of impact instead of or in addition to the degree of impact.

16. The processor: The medical service support device according to claim 1 , wherein the device accepts designation of the reference period and the comparison period.

17. Acquire action information including a date and time related to a medical action and information related to an index value related to the medical action, the date and time being included in a reference period to be analyzed for an increase or decrease in the index value and a comparison period to be compared with an increase or decrease in the index value; deriving a difference between a first statistical value of information related to the index value in the comparison period and a first statistical value of information related to the index value in the reference period for each of a plurality of item values ​​for at least one predetermined item; deriving an influence of the reference period on an increase or decrease in the index value relative to the comparison period for each item value of the at least one item based on a second statistical value based on the behavior information in the reference period and the difference; A medical service support method that performs a display process for displaying the degree of influence for the at least one item value included in the at least one item.

18. acquiring action information including a date and time related to a medical action and information related to an index value related to the medical action, the date and time being included in a reference period to be analyzed for an increase or decrease in the index value and a comparison period to be compared with an increase or decrease in the index value; deriving a difference between a first statistical value of information related to the index value in the comparison period and a first statistical value of information related to the index value in the reference target period for each of a plurality of item values ​​for at least one predetermined item; deriving an influence of the reference period on an increase or decrease in the index value relative to the comparison period for each item value of the at least one item based on a second statistical value based on the behavior information in the reference period and the difference; and a procedure for performing a display process for displaying the degree of influence for the at least one item value included in the at least one item.

Images