JP7346036B2 - Medical information processing system - Google Patents

Description

Embodiments of the present invention relate to medical information processing systems.

BACKGROUND ART Conventionally, in the medical field, measurement values of a subject obtained at multiple points in time are displayed in chronological order to assist doctors in making a diagnosis and considering a treatment plan. Furthermore, in recent years, regional medical cooperation in which medical institutions collaborate with each other has been promoted, and it has become possible to mutually refer to test values obtained at multiple medical institutions.

JP2013-242745A

An object of the present invention is to provide a medical information processing system that can improve the convenience of displaying measurement results obtained at a plurality of medical institutions.

The medical information processing system according to the embodiment corresponds a measurement value obtained by testing or measuring a subject, a date and time when the measurement value was obtained, and information indicating a medical institution that obtained the measurement value. a storage unit that stores the attached measurement data; an acquisition unit that acquires the measurement data related to a subject designated from any of the medical institutions from the storage unit; and an acquisition unit that stores the measurement data acquired by the acquisition unit. The included measured values are arranged and displayed in chronological order so that the medical institutions where the measured values were obtained can be identified, and the medical institutions where the measured values were obtained are displayed in association with the arranged measured values. and a display control unit that displays information based on characteristic values representing characteristics of the institution in a way that allows the medical institutions to be identified. Further, the characteristic value is a reference range related to the determination of the measured value used in each of the medical institutions, and the display control unit is configured to display the characteristic value for each of the arranged measured values at the medical institution that acquired the measured value. Adding and displaying the reference range of the institution, and the determination result of each of the measurement values based on the reference range of a specific medical institution as a reference among the medical institutions related to the measurement data acquired by the acquisition unit; A measured value that is different from a determination result of the measured value based on a reference range of a medical institution other than the specific medical institution is identifiably displayed.

FIG. 1 is a diagram illustrating a configuration example of a medical information processing system according to an embodiment. FIG. 2 is a diagram showing an example of the configuration of the information providing server according to the embodiment. FIG. 3 is a diagram showing an example of the data structure of medical data stored in the test result DB of the embodiment. FIG. 4 is a diagram for explaining the operation of the detection function according to the embodiment. FIG. 5 is a diagram illustrating an example of the display form of the test value transition screen according to the embodiment. FIG. 6 is a diagram showing a modification of the test value transition screen shown in FIG. 5. FIG. 7 is a diagram illustrating an example of a display form of the test value transition screen according to the embodiment. FIG. 8 is a diagram showing a modification of the test value transition screen shown in FIG. 7. FIG. 9 is a diagram illustrating an example of the display form of the test value transition screen according to the embodiment. FIG. 10 is a diagram illustrating an example of the display form of the test value transition screen according to the embodiment. FIG. 11 is a flowchart illustrating an example of characteristic value detection processing executed by the information providing server of the embodiment. FIG. 12 is a flowchart illustrating an example of the information providing process executed by the information providing server of the embodiment. FIG. 13 is a diagram illustrating an example of the configuration of an information providing server according to modification 1. FIG. 14 is a diagram illustrating an example of the data structure of the reference range DB according to Modification 1. FIG. 15 is a diagram illustrating an example of a display form of a test value transition screen according to modification 3. FIG. 16 is a diagram illustrating an example of a display form of a test value transition screen according to modification 4. FIG. 17 is a diagram illustrating an example of a display form of a test value transition screen according to modification 5.

Hereinafter, embodiments of a medical information processing system will be described with reference to the drawings.

FIG. 1 is a diagram showing a configuration example of a medical information processing system according to the present embodiment. As shown in FIG. 1, the medical information system 1 according to the present embodiment includes a plurality of medical institution systems 10 (10a to 10c) and an information providing server 20, which are communicably connected via a network N1. Ru. Note that the number of medical institution systems 10 connected to the network N1 is not particularly limited.

The medical institution system 10 is a system provided in each of medical institutions such as hospitals and testing institutions (hereinafter collectively referred to as medical institutions). In the example shown in FIG. 1, the medical institution system 10a is the medical institution system of hospital A, the medical institution system 10b is the medical institution system of hospital B, and the medical institution system 10c is the medical institution system of hospital C. Yes, the medical institution system 10d is a medical institution system of hospital D. These hospitals (medical institution systems 10a to 10d) are in a regional medical cooperation relationship, for example, and can mutually refer to medical data of subjects such as patients.

Each of the medical institution systems 10 includes, for example, a sample testing system 11, an image diagnosis system 12, an electronic medical record system 13, a terminal device 14, and the like. The specimen testing system 11, the image diagnosis system 12, the electronic medical record system 13, and the terminal device 14 are communicably connected via the hospital network N2. Further, the in-hospital network N2 is connected to the network N1 via a network device such as a router.

The specimen testing system 11 generates medical data regarding specimen tests performed on a subject and stores it in a storage circuit within the system. For example, the specimen testing system 11 generates medical care data that includes test values (numerical data) indicating the results of hematological tests and biochemical tests performed on a subject. The specimen testing system 11 also provides the information providing server 20 with medical data stored in the storage circuit.

The image diagnosis system 12 generates medical data related to image diagnosis performed on a subject and stores it in a storage circuit within the system. Here, image diagnosis is an examination using a CT image taken by an X-ray CT (Computed Tomography) device, an examination using an MR image taken by an MRI (Magnetic Resonance Imaging) device, or an examination using an ultrasound diagnostic device. This includes tests using captured ultrasound images, tests using X-ray images captured by an X-ray diagnostic device, and the like. For example, the image diagnosis system 12 generates medical treatment data including test values (numerical data) such as blood vessel diameter and blood flow rate obtained by image diagnosis. The image diagnostic system 12 also provides the information providing server 20 with medical data stored in the storage circuit.

The electronic medical record system 13 generates medical data regarding prescriptions and nursing records administered to the subject and stores it in a storage circuit within the system. For example, the electronic medical record system 13 generates medical care data including test values (numerical data) such as the subject's vitals (pulse, heart rate, respiratory rate, blood pressure, body temperature, etc.). Further, the electronic medical record system 13 provides the information providing server 20 with medical data stored in the storage circuit.

The clinical data generated by each of the above-mentioned specimen testing system 11, image diagnosis system 12, and electronic medical record system 13 includes the following information in addition to test values corresponding to measured values. For example, the medical data includes information such as the date and time when the test was performed (measurement date and time), the type of test (test type), the unit of the test value, and an abnormality flag indicating normality or abnormality.

The medical data also includes a patient ID that can uniquely identify the subject. The patient ID may be the same for each medical institution, or may be different for each medical institution. However, in the latter case, for example, by correlating the patient IDs of the same person for each medical period, the system shall be configured so that the same person's subject can be identified from the patient ID of each medical institution. do.

Furthermore, the medical care data includes information that can uniquely identify the medical institution where the test was performed, as information indicating the environment in which the test was performed on the subject (test environment).

Note that the information included in the medical data is not limited to the example described above. For example, the medical data may include information regarding the subject, such as the subject's gender, age, BMI (Body Mass Index), smoking/drinking habits, and the like. Further, the medical care data may include, as a test environment, information that allows identification of the device used in the test, information that allows identification of the reagent used in the test, and the like. Further, the medical data may include the date and time of specimen collection.

The terminal device 14 is a computer device such as a PC (Personal Computer) or a tablet terminal used by medical personnel such as doctors, nurses, and laboratory technicians. The terminal device 14 has an input circuit 141 and a display 142, as shown in FIG. The input circuit 141 receives input operations from an operator. For example, the input circuit 141 is realized by a trackball, a switch button, a mouse, a keyboard, a touch panel, or the like. Display 142 displays various data. For example, the display 142 is realized by a liquid crystal monitor, a CRT (cathode ray tube) monitor, a touch panel, or the like. Note that the input circuit 141 and display 142 may be integrated. For example, input circuit 141 and display 142 may have a touch panel configuration.

Medical personnel can access each system within their own medical institution via the terminal device 14. Further, the medical worker can access the information providing server 20 via the terminal device 14. Note that when accessing the information providing server 20, the medical institution ID of the medical institution where the terminal device 14 is installed and information that can identify the user (medical worker) operating the terminal device 14 are sent to the information providing server 20. shall be carried out.

The information providing server 20 acquires various medical data from each of the medical institution systems 10 via the network N1, and performs various information processing using the acquired medical data. For example, the information providing server 20 is realized by computer equipment such as a server device or a workstation. Note that the information providing server 20 is not limited to a single device, and may be realized by cooperation of a plurality of computer devices connected to a network (for example, cloud computing).

FIG. 2 is a diagram showing an example of the configuration of the information providing server 20. As shown in FIG. As shown in FIG. 2, the information providing server 20 includes a communication interface 210, a storage circuit 220, and a processing circuit 230.

The communication interface 210 is connected to the processing circuit 230 and controls the transmission and communication of various data performed between the information providing server 20 and each medical institution system 10. Specifically, the communication interface 210 receives medical care data from each medical institution system 10 and outputs the received medical care data to the processing circuit 230. The communication interface 210 is realized by, for example, a network card, a network adapter, a NIC (Network Interface Controller), or the like.

The storage circuit 220 is connected to the processing circuit 230 and stores various data. Specifically, the storage circuit 220 stores various programs executed by the processing circuit 230 and various setting information regarding the operation of the information providing server 20. Furthermore, the storage circuit 220 holds an examination result DB 221 for storing medical treatment data received from each medical institution system 10, which corresponds to the storage unit of this embodiment. The storage circuit 220 is realized by, for example, a semiconductor memory element such as a RAM (Random Access Memory) or a flash memory, a hard disk, an optical disk, or the like. Note that the test result DB 221 is not limited to the form held by the storage circuit 220, but may be held by an external device that can be accessed by the information providing server 20.

The processing circuit 230 centrally controls the operation of the information providing server 20. The processing circuit 230 is realized, for example, by a processor such as a CPU (Central Processing Unit).

The processing circuit 230 also includes a collection function 231 , a detection function 232 , a determination function 233 , an acquisition function 234 , and a display control function 235 . Note that the determination function 233 is an example of a determination unit. Further, the acquisition function 234 is an example of an acquisition unit. Further, the display control function 235 is an example of a display control section.

The collection function 231 collects medical data from each of the medical institution systems 10. Specifically, the collection function 231 collects medical data provided from each of the specimen testing system 11, image diagnosis system 12, and electronic medical record system 13 of each medical institution system 10. The collection function 231 then stores the collected medical data in the test result DB 221 of the storage circuit 220.

FIG. 3 is a diagram showing an example of the data structure of medical data stored in the test result DB 221. As shown in FIG. 3, the medical care data includes a patient ID, measurement date and time, test type, test value, unit, abnormality flag, and test environment ID as data items. Note that the medical care data shown in FIG. 3 is an example of medical care data collected from the sample testing system 11 of each medical institution system 10.

In FIG. 3, the patient ID is information that can uniquely identify the subject. The measurement date and time is the date and time when the subject was tested. The test type indicates the type of test performed on the subject. The test value is a test value (numerical data) of the subject obtained by the test. A unit is a physical unit that represents the quantity of a test value. The abnormality flag is information set by a medical institution, and is information indicating whether or not test values are normal. In addition, in FIG. 3, a blank column of the abnormality flag means that it is determined to be normal. Furthermore, information that can identify the medical institution where the test was performed is stored in the test environment ID. Note that FIG. 3 shows an example in which a hospital name is stored as the examination environment ID.

Returning to FIG. 2, the detection function 232 detects characteristic values for each test environment (medical institution) and test type registered in the test environment ID, based on the medical care data stored in the test result DB 221. Here, the characteristic value represents the tendency of the test results. In the following, the examination environment will also simply be referred to as a medical institution.

Specifically, the detection function 232 detects characteristic values representing trends in test results for each medical institution (test environment ID) and test type based on the test values and the state of the abnormality flag included in the medical care data. Here, the detection function 232 calculates the frequency distribution of test values for each medical institution and test type, and uses representative values such as the mean, median, and mode obtained from the frequency distribution as the first characteristic value. To detect. The detection function 232 also detects a reference range for determining the condition of a subject at each medical institution or a range of test values that can identify the reference range, based on the relationship between the test values included in the medical care data and the abnormality flag. is detected as the second characteristic value. For example, the detection function 232 detects a second characteristic value related to various state determinations such as determination of normality/abnormality, determination of need for attention, follow-up observation, and the like. Hereinafter, a method of detecting the first characteristic value and second characteristic value described above will be explained. Note that in this embodiment, for the purpose of simplifying the explanation, a method of detecting the second characteristic value related to the determination of normality/abnormality will be described.

When detecting the first characteristic value, the detection function 232 classifies the medical care data stored in the test result DB 221 by medical environment and test environment. Next, the detection function 232 generates a frequency distribution representing the relationship between the test values included in the medical data and the frequencies at which the test values appear, based on the classified medical data.

FIG. 4 is a diagram for explaining the operation of the detection function 232, and shows a frequency distribution representing the relationship between test values and frequencies. Here, FIG. 4(a) shows the frequency distribution of test values related to medical institution "Hospital A", and FIG. 4(b) shows the frequency distribution of test values related to medical institution "Hospital B". It is assumed that the In FIG. 4, test values of the test type HDL-cholesterol (HDL-C) are analyzed.

Next, the detection function 232 detects a representative value, such as an average value or a median value, calculated by statistically analyzing the frequency distribution, as the first characteristic value. For example, when the detection function 232 calculates the median value "49" from the frequency distribution shown in FIG. Detected as the first characteristic value. Furthermore, when the detection function 232 calculates the median value "45" from the frequency distribution shown in FIG. Detected as the first characteristic value. The detected first characteristic value is stored in the storage circuit 220 or the like in association with the corresponding medical institution and test type.

On the other hand, when detecting the second characteristic value, the detection function 232 classifies the medical care data stored in the test result DB 221 by medical environment and test environment, similarly to the first characteristic value described above. Next, the detection function 232 identifies the upper limit value and lower limit value of the test value for which the flag indicating abnormality (or normality) is set, among the classified medical data. Then, the detection function 232 detects each of the specified upper limit value and lower limit value as a second characteristic value that can specify the reference range related to the determination of normality/abnormality of the test value.

Here, to explain using FIGS. 4(a) and (b), the detection function 232 detects the upper limit of the test value for which a flag indicating an abnormality is set from each medical treatment data related to the frequency distribution of FIG. 4(a). The value "121" and the lower limit value "44" are specified. Further, from each medical treatment data related to the frequency distribution shown in FIG. 4(b), the upper limit value "120" and the lower limit value "29" of test values for which a flag indicating an abnormality is set are specified.

Then, the detection function 232 converts the values of the upper limit and lower limit in FIG. ” is detected as the second characteristic value. Furthermore, the detection function 232 detects the upper limit value and lower limit value in FIG. -C” is detected as the second characteristic value. The detected second characteristic value is stored in the storage circuit 220 or the like in association with the corresponding medical institution and test type.

Note that in the above example, characteristic values are detected in units of medical institution and test type, but if a more detailed test environment (test environment ID) is set, characteristic values are detected in that detailed unit. You can. For example, if the medical data includes information that can identify a medical institution as well as information that can identify a device or reagent used in a test, characteristic values may be detected for each device or reagent.

Further, the timing at which the detection function 232 detects the characteristic value is not particularly limited and can be set arbitrarily. For example, the detection function 232 may detect the characteristic value at a preset timing. Further, for example, the detection function 232 may detect the characteristic value at the timing of receiving a medical data reference request from an external device such as the terminal device 14.

In addition, if the number of medical data (samples) is insufficient for statistical analysis, it may be impossible to detect characteristic values, or even if characteristic values can be detected, the accuracy may be low. There is sex. Therefore, when the number of classified medical data is less than the threshold, it is preferable that the detection function 232 stores information indicating that the characteristic value is unknown in association with the relevant medical institution and test type. .

Returning to FIG. 2, when the determination function 233 receives access to its own device (information providing server 20) via the communication interface 210, it determines the medical institution to which the access source terminal device 14 belongs. Specifically, upon receiving a medical data reference request from any terminal device 14, the determination function 233 determines the medical institution to which the requesting terminal device 14 belongs. Hereinafter, the medical institution to which the requesting terminal device 14 belongs will be referred to as the accessing medical institution. Furthermore, medical institutions other than the access source medical institution are referred to as non-access source medical institutions.

Here, the reference request includes narrowing conditions such as a patient ID and test type for specifying the medical data for which reference is requested. Further, for example, the reference request may include information that can identify the requesting user or medical institution.

For example, when the reference request includes information that can identify a medical institution, the determination function 233 determines that the medical institution specified by the information included in the reference request is the access source medical institution. Further, for example, the determination function 233 may determine the access source medical institution based on the IP address or domain of the terminal device 14 that accessed the own device.

Further, for example, the determination function 233 may provide the terminal device 14 with a login screen for inputting a user name and password, and determine the medical institution from which the access is made based on the information input on the login screen. In this case, for example, the determination function 233 performs user authentication based on the user name and password entered on the login screen, and determines which users are allowed to log in based on a data table that associates user names with medical institutions. The medical institution corresponding to the name can be identified.

The acquisition function 234 acquires, from the test result DB 221, medical care data related to a subject designated by any medical institution (medical institution system 10). Specifically, the acquisition function 234 acquires medical data corresponding to the narrowing conditions from the test result DB 221 based on the narrowing conditions included in the reference request.

For example, if a patient ID and test type are specified as narrowing conditions, the acquisition function 234 obtains medical data including the specified patient ID and test type from the test result DB 221. Further, for example, when a patient ID is specified as a narrowing condition, the display control function 235 acquires medical care data including the specified patient ID from the test result DB 221.

Based on the medical data acquired by the acquisition function 234, the display control function 235 generates display data in which test values included in the medical data are arranged in chronological order. Then, the display control function 235 provides the generated display data to the requesting terminal device 14, thereby displaying a screen corresponding to the display data on the display 142 of the terminal device 14.

Specifically, the display control function 235 classifies the medical data acquired by the acquisition function 234 by test type, and arranges the test values included in each of the classified medical data in chronological order. Here, if tests are performed at multiple medical institutions, the test values obtained at the multiple medical institutions will be arranged in chronological order in a mixed state. The display control function 235 then generates display data that represents the test values arranged in chronological order in a graph format.

In addition, regarding the generation of the display data described above, the display control function 235 adds information based on the characteristic values of the medical institution that acquired the test values in association with the test values arranged in chronological order. Here, the information added to the test value can take various forms.

Hereinafter, with reference to FIGS. 5 to 10, a display form of a screen (hereinafter referred to as a test value transition screen) displayed by display data generated by the display control function 235 will be described.

FIG. 5 is a diagram showing an example of the display form of the test value transition screen. Here, the horizontal axis of the test value transition screen G1 represents the date when the test was performed, and the vertical axis represents the test value. In addition, the test value transition screen G1 arranges (plots) the test values of the medical data shown in FIG. ) represents the result.

In this test value transition screen G1, the test value is acquired at the non-accessing medical institution based on the difference between the first characteristic value related to the accessing medical institution and the first characteristic value related to the non-accessing medical institution. An example is shown in which a value obtained by correcting the test value obtained by the test is displayed as information based on the above-mentioned characteristic value.

For example, when the determination function 233 determines that the access source medical institution is "Hospital B," the display control function 235 displays the first characteristic value related to the medical institution "Hospital B" and the test type "HDL-C." Set as the reference value for correction. Next, the display control function 235 uses the set reference value and the first characteristic value related to the test type "HDL-C" detected for each of the non-access source medical institutions "Hospital A, Hospital C, Hospital D". and set the calculated difference value as the correction amount. For example, if the first characteristic value (reference value) of hospital B is "45" and the first characteristic value of hospital A is "49", the display control function 235 displays the difference "-4" between the two characteristic values. ” as the correction amount.

Next, the display control function 235 displays test values obtained at other medical institutions "Hospital A, Hospital C, Hospital D" other than the access source medical institution "Hospital B" among the test values plotted in chronological order. are each corrected by the previously set correction amounts, and the corrected test values are added in a state that allows them to be distinguished from the test values before correction. For example, if the test value of hospital A is "44", the display control function 235 adds the correction amount "-4" to the test value "44" and plots the corrected test value "40". . Then, the display control function 235 connects the test values acquired at the access source medical institution "Hospital A" and the corrected test values in chronological order using line segments (solid lines).

Points P11, P12, and P13 in FIG. 5 correspond to uncorrected test values of 44 mg/dL, 58 mg/dL, and 50 mg/dL obtained in the test at hospital A, respectively, and points P11', P12', and P13' , correspond to corrected test values of 40 mg/dL, 54 mg/dL, and 46 mg/dL, respectively, obtained by correcting the test values of points P11 to P13 with a correction amount of "-4". Moreover, point P14 is
This corresponds to a test value of 65 mg/dL obtained in the test at hospital B, which is the access source. In addition, point P15 corresponds to the uncorrected test value of 111 mg/dL obtained in the test at hospital C, and point P15' corresponds to the corrected test value obtained by correcting the test value at point P15 with the correction amount "+3". Corresponds to 114 mg/dL. Further, point P16 corresponds to a test value of 65 mg/dL acquired in the test at hospital D.

Here, the points before correction (P11, P12, P13, P15) and the points after correction (P11', P12', P13', P15') are displayed in different colors, and the test values after correction and the points before correction are different. It is now possible to distinguish between the test values of More specifically, the corrected points (P11, P12, P13, P15) are displayed in the same display color as the point P14 related to the access source hospital B.

Thereby, the user who observes the test value transition screen G1 can easily distinguish between the test values obtained in the test at his own medical institution and the test values obtained in the test at another medical institution. In addition, the user can easily identify whether the test values obtained in tests at other medical institutions are before or after correction based on the difference in display color, etc. of the test values. Further, since the user can intuitively understand the difference between the test results obtained at his or her own medical institution based on the state of the test values before and after correction, the user can easily compare the test environments.

Note that in FIG. 5, point P16 is a display example of a test value whose characteristic value (first feature amount) of the test environment is unknown. As shown in FIG. 5, point P16 is displayed in a different display color from the other points. In this way, a test value whose characteristic value is unknown can be displayed in a format different from other test values to attract the user's attention. Further, test values whose characteristic values are unknown may be connected using a line type different from the line segment connecting test values whose characteristic values have already been detected, as shown in FIG. 6, for example.

Here, FIG. 6 is a diagram showing a modification of the test value transition screen shown in FIG. 5, and shows display contents similar to those in FIG. 5. In the test value transition screen G2 of FIG. 6, as a difference from the test value transition screen G1, a line segment connecting to a test value (point P16) whose characteristic value is unknown is represented by a broken line. As a result, test values whose characteristic values are unknown can be emphasized, thereby attracting the user's attention.

Further, the test value transition screen is not limited to one based on the first characteristic value, but may be one based on the second characteristic value. For example, as shown in FIG. 7, a reference range specified by the second characteristic value may be added to each test value plotted in chronological order as information based on the characteristic value described above.

Here, FIG. 7 is a diagram showing an example of the display form of the test value transition screen. The test value transition screen G3 shown in FIG. 7 is based on the same conditions as in FIG. 5 (patient ID "P0001", test type "HDL-C", access source "Hospital B").

In the case of this display form, the display control function 235 causes each of the test values plotted in chronological order to be displayed in association with a second characteristic value related to the medical institution and test type where the test value was acquired. Moreover, the display control function 235 displays the second characteristic value related to the access source medical institution and the second characteristic value related to the non-access source medical institution in a distinguishable state.

Specifically, as shown in FIG. 7, for the test values of points P11 to P16 plotted in chronological order, range bars B11 to B15 representing the reference range specified by the corresponding second characteristic value are drawn. Display them in correspondence. Here, the display colors of the points P11 to P15 and the range bars B11 to B15 differ depending on the medical institution.

For example, the test values (points P11 to P13) and second characteristic values (B11 to B13) related to hospital A, and the test values (point P14) and second characteristic values (B14) related to access source hospital B, are displayed in different display colors. In addition, the test value (point P14) and second characteristic value (B14) related to hospital B, which is the access source, and the test value (point P15) and second characteristic value (B15) related to hospital C are displayed differently. displayed in color. On the other hand, the display color of the line segment connecting each test value is unified to the same display color as the test value (P14) of the access source medical institution (hospital B). Note that point P16 in FIG. 7 is a display example of a test value whose characteristic value is unknown, similar to point P16 in FIG.

Thereby, the user who observes the test value transition screen G3 can easily distinguish the test values obtained from the test at his own medical institution and the test values obtained from the test at another medical institution. In addition, the user can intuitively understand the difference from the reference range at his or her own medical institution from the reference range (range bar) status displayed on the test value trend screen G3, making it easier to compare test environments. It can be carried out.

For example, as a modification of the test value transition screen G3 shown in FIG. It may be displayed in a format different from that of the characteristic value.

For example, as shown in the test value transition screen G4 in FIG. 8, by displaying the range bar B14 related to the access source medical institution over the entire period, the second characteristic value related to the access source medical institution is further emphasized. Here, FIG. 8 is a diagram showing a modification of the test value transition screen shown in FIG. 7, and shows display contents similar to those in FIG. 7.

In this way, by changing the display form of the second characteristic value between the access source medical institution and the non-access source medical institution, it is possible to emphasize the second characteristic value related to the access source medical institution. Furthermore, it is possible to easily compare the reference range used by the medical institution that is the access source and the reference range that is used by the medical institution that is not the access source, thereby improving convenience for the user.

In addition, as another display form, the test value is displayed as a normal/abnormal test value of a non-accessing medical institution, which is determined based on the second characteristic value (reference range) of the accessing medical institution. It may also be displayed in addition to the transition screen.

When realizing this display form, the display control function 235 determines whether each of the test values plotted in chronological order is included in the reference range of the second characteristic value related to the access source medical institution. Then, a determination of normality/abnormality (first determination) is made. In addition, the display control function 235 determines whether each of the test values plotted in chronological order is included in the reference range of the second characteristic value related to the medical institution where the test value was acquired. , performs a normal/abnormal determination (second determination). Note that the second determination may not be performed and the value of the abnormality flag recorded in the medical data may be used.

The display control function 235 compares the judgment results of the first judgment and the second judgment, and, for example, compares the test values with different judgment results between the first judgment and the second judgment, the first judgment and the second judgment. Test values, etc. that were both determined to be abnormal in the second determination are extracted. Then, as shown in FIG. 9, the display control function 235 displays the extracted test value in a display method different from that of other test values.

Here, FIG. 9 is a diagram showing an example of the display form of the test value transition screen. The test value transition screen G5 shown in FIG. 9 is based on the same conditions as in FIG. 5 (patient ID "P0001", test type "HDL-C", access source "hospital B").

In FIG. 9, for example, the test value at point P13 is normal because it is included within the range bar B13 based on the range bar B13 associated with the test value. On the other hand, the test value at point P13 is outside the range bar B14, based on the range bar B14 associated with the test value (P14) of the access source medical institution, and is therefore abnormal. In such a case, the display control function 235 performs highlighted display by making the display color of the point P13 different from the display color of the other points, as shown in FIG.

Further, for example, the test value at point P11a is outside the range bar B11 when the range bar B11 associated with the test value is used as a reference, and therefore becomes abnormal. Further, the test value at point P11a is abnormal because it is outside the range bar B14 when the range bar B14 associated with the test value (P14) of the access source medical institution is used as a reference. In such a case, the display control function 235 performs highlighted display by making the display color of the point P13 different from the display color of the other points, as shown in FIG.

As a result, the user who observes the test value transition screen G9 can check the test values that have different judgment results due to the difference in the reference range between his own medical institution and another medical institution, or the judgment results that are abnormal at both medical institutions. Test values can be easily identified.

In addition, as another display form, it may be displayed on a test value transition screen using both the first characteristic value and the second characteristic value. In this case, for example, the display control function 235 corrects the test value based on the first characteristic value related to the access source medical facility and displays the second characteristic value, as shown in FIG. A test value transition screen G6 like this can be displayed.

FIG. 10 is a diagram showing an example of the display form of the test value transition screen. The test value transition screen G6 shown in FIG. 10 is based on the same conditions as in FIG. 5 (patient ID "P0001", test type "HDL-C", access source "hospital B").

As shown in FIG. 10, the test value transition screen G6 is a mixture of the display format of the test value transition screen G1 explained in FIG. 5 and the display format of the test value transition screen G3 explained in FIG. There is. Although FIG. 10 shows an example in which only the second characteristic value (range bar B14) related to the access source medical institution is displayed, similar to FIG. 7, the second characteristic value related to the non-access source medical institution is displayed. The characteristic values of may also be displayed.

Although the display form of the test value transition screen has been described above, it is not limited to the examples of the test value change screens G1 to G6 described above. Note that the display form of the test value transition screens G1 to G6 described above may be configured to be selectively designated. For example, one of the test value transition screens G1 to G6 may be selectively displayed in response to an instruction from the user.

Next, the operation of the information providing server 20 will be described with reference to FIGS. 11 and 12.

Here, FIG. 11 is a flowchart showing an example of the characteristic value detection process executed by the information providing server 20.

First, the detection function 232 selects one of the test environments (test environment ID: medical period) stored in the test result DB 221 as a processing target (step S11). Next, the detection function 232 reads the medical care data including the selected test environment (step S12), and classifies the data by test type (step S13).

Next, the detection function 232 selects one of the classified examination types as a processing target (step S14). Next, the detection function 232 determines whether the number of medical data (number of samples) including the selected test type is equal to or greater than a predetermined value (step S15). Here, if the number of samples is greater than or equal to the predetermined value (step S15; Yes), the detection function 232 detects characteristic values (the first characteristic value and the second characteristic value) based on the tendency of the test values included in the medical data group. characteristic value) is detected (step S16). Then, the detection function 232 stores the detected characteristic value in association with the test environment and test type to be processed (step S17), and proceeds to step S19.

On the other hand, if the number of samples is less than the predetermined value (step S15; No), the detection function 232 stores information indicating that the characteristic value is unknown in association with the test environment and test type to be processed (step S18), the process moves to step S19.

Next, the detection function 232 determines whether all test types have been selected as processing targets, and if there is an unprocessed test type (step S19; No), the process returns to step S14. Moreover, when all test types are to be processed (step S19; Yes), the detection function 232 moves to step S20.

Subsequently, the detection function 232 determines whether all test environments have been selected to be processed, and if there are any test environments that have not been processed (step S20; No), the process returns to step S11. Moreover, when all inspection environments are targeted for processing (step S20; Yes), the detection function 232 ends this processing.

Through the above processing, characteristic values representing characteristics of the examination environment are acquired for each examination environment (medical institution) and examination type stored in the examination result DB 221. In addition, in FIG. 11, all the medical care data stored in the test result DB 221 are processed, but the processing is not limited to this. For example, each time a predetermined number of pieces of medical data for each medical institution are stored in the test result DB 221, characteristic values may be detected from the medical data for that medical institution.

FIG. 12 is a flowchart illustrating an example of an information providing process executed by the information providing server 20. As shown in FIG. Note that this process is based on the assumption that characteristic values for each medical institution and test type have already been stored by the process described in FIG. 11 or the like.

First, the determination function 233 waits until there is a reference request from any of the terminal devices 14 (step S31; No). When the determination function 233 receives a reference request from the terminal device 14 (step S31; Yes), it determines the medical institution to which this terminal device 14 belongs as the access source medical institution (step S32).

Subsequently, the acquisition function 234 acquires the medical data requested by the reference request from the test result DB 221 based on the narrowing conditions included in the reference request (step S33).

Next, the display control function 235 reads out the test values included in the medical data acquired in step S33 in chronological order (step S34). Note that if the medical data acquired in step S33 includes a plurality of test types, the display control function 235 performs the following process for each test type.

The display control function 235 determines whether or not the read test value was obtained at the accessing medical institution (step S35). If the read test value was acquired at the access source medical institution (step S35; Yes), the display control function 235 displays the test value in the first display method set for the access source medical institution. The plot is performed (step S36), and the process moves to step S40. Note that when adding the second characteristic value, a range bar corresponding to the reference range of the second characteristic value is added in association with the test value plotted in step S36.

In addition, if the read test value was acquired at a non-access source medical institution (step S35; No), the display control function 235 displays characteristics related to the non-access source medical institution from which the test value was acquired. It is determined whether the value is stored (step S37).

If the characteristic value is stored (step S37; Yes), the display control function 235 displays the corrected test value based on the difference between the characteristic value (first characteristic value) of the access source and non-access source medical institutions. , and the test value before correction are plotted using a second display method different from the first display method (step S38), and the process moves to step S40. Note that in the second display method, test values before and after correction are displayed in a distinguishable manner. Furthermore, when adding a second characteristic value, a range bar corresponding to the second characteristic value is added in association with the test value plotted in step S38.

On the other hand, if it is determined in step S37 that the characteristic value is not stored (step S17; No), the display control function 235 performs an inspection using a third display method different from the first display method and the second display method. The values are plotted (step S39) and the process moves to step S40.

Subsequently, the display control function 235 determines whether both the test values read last time and the test value read this time are plotted in the first display method or the second display method (step S40). Here, if the characteristic values of both test values are plotted in the first display method or the second display method (step S40; Yes), the display control function 235 connects both test values with a solid line ( Step S41), the process moves to step S43.

Further, if at least one of both test values is plotted in the third display method (step S40; No), the display control function 235 connects both test values using a line type other than a solid line. (Step S42), the process moves to step S43.

Subsequently, the display control function 235 determines whether all test values have been plotted, and if there are test values that have not been plotted (step S43; No), the process returns to step S34. On the other hand, if it is determined that all the test values have been plotted (step S43; Yes), the display control function 235 transmits display data representing the plotting results to the terminal device 14, so that the display of the terminal device 14 is displayed. 142 to display a test value transition screen (step S44), and this process ends.

As described above, in this embodiment, a test is performed that stores medical data that associates test values obtained from a subject, the date and time when the test values were obtained, and information indicating the medical institution that obtained the test values. Medical data related to the subject specified by the user is acquired from the result DB 221. In this embodiment, the test values included in each of the acquired medical data are arranged and displayed in chronological order, and the arranged test values have characteristics representing the characteristics of the medical institution that acquired the test values. Add and display information based on the value.

As a result, users can recognize differences in characteristics related to the acquisition of test values at each medical institution based on information based on the characteristic values added to each test value. Alternatively, variations in reference ranges can be easily compared. Therefore, in this embodiment, it is possible to improve the convenience of displaying measurement results measured at a plurality of medical institutions.

Note that the above-described embodiments can be modified and implemented as appropriate by changing some of the configurations or functions of the information providing server 20. Therefore, some modified examples of the above-described embodiment will be described below as other embodiments. Note that, below, points that are different from the embodiments described above will be mainly explained, and detailed explanations of points that are common to those already explained will be omitted. Further, the modified examples described below may be implemented individually or in appropriate combinations.

(Modification 1)
In the embodiment described above, an example has been described in which the second characteristic value (reference range) is detected from the medical care data stored in the test result DB 221, but the reference range may be held in advance.

When applying this modification, for example, the information providing server 20 maintains in the storage circuit 220 a reference range DB 222 that stores reference ranges for each test environment and test item, as shown in FIG. FIG. 13 is a diagram illustrating an example of the configuration of the information providing server 20 according to the first modification. Note that the reference range DB 222 is not limited to the form held by the storage circuit 220, but may be held by an external device that can be accessed by the information providing server 20.

The reference range DB 222 stores reference ranges in association with each test environment (medical institution) and test item. For example, as shown in FIG. 14, the reference range DB 222 stores data items such as test environment, test type, reference range, and unit in association with each other. FIG. 14 is a diagram showing an example of the data structure of the reference range DB 222.

Here, the data items of the test environment, test type, and unit are the same as the data items of the same name included in the test result DB 221. Further, the reference range corresponds to the reference range specified by the second characteristic value of the embodiment described above, and is set in advance for each test environment and test item. Note that the reference ranges stored in the reference range DB 222 are not limited to those set for each test environment and test item, but may be a common reference range defined by guidelines or the like.

Furthermore, in this modification, the information providing server 20 (display control function 235) displays a range bar based on the reference range stored in the reference range DB 222 instead of displaying the range bar based on the second characteristic value of the above-described embodiment. to display the range bar.

According to such a configuration, it is possible to display the same test value transition screen as in the above-described embodiment, so that the same effects as in the above-described embodiment can be achieved. In addition, by using a common reference range stipulated by guidelines, etc., it is possible to understand the degree of variation in test results at each medical institution based on the common reference range. The convenience of displaying measurement results obtained at medical institutions can be improved.

(Modification 2)
In the above-described embodiment, the test values (numeric data) obtained by sample testing are displayed, but the display is not limited to this, and test values (numeric data) obtained from other tests can also be displayed. good. For example, test values (numerical data) obtained by physiological function tests such as electrocardiograms and electroencephalograms may be displayed. Furthermore, the display target is not limited to test values obtained through testing, but can also be expanded to measured values. For example, when the food intake of a subject is recorded as a measured value (numerical data), it is also possible to display the transition of the measured value using the method described above.

(Modification 3)
In the embodiment described above, the characteristic value is detected for each test environment and each test item, but as a further subdivision, the characteristic value may be detected for each characteristic of the subject. Here, the characteristics of the subject include, for example, gender, age, BMI (Body Mass Index), presence or absence of smoking/drinking habits, and the like. The characteristics of the subject may be included in the medical care data, or may be stored in an external database or the like in association with a subject identifier such as a patient ID.

In this modification, the information providing server 20 (detection function 232) detects characteristic values for each characteristic of the subject in addition to the examination environment and examination items. For example, the detection function 232 detects characteristic values for each age of the subject. In this case, for example, the reference range of the second characteristic value may change depending on the age of the subject, so it is not possible to display the test value transition screen in a display method suitable for the form of this modification. preferable.

FIG. 15 is a diagram showing an example of the display form of the test value transition screen according to this modification. The test value change screen G7 in FIG. 15 shows the change in heart rate of a specific child. The horizontal axis represents the child's age in months at the time of the test, and the vertical axis represents the heart rate (beats/min).

Further, point P21 corresponds to the test value obtained at hospital A when the child was 1 month old, point P22 corresponds to the test value obtained at hospital B when the child was 6 months old, and point P23 corresponds to the test value obtained at hospital B when the child was 6 months old. Corresponds to test values obtained at hospital A when the child was 2 years old. In FIG. 15, range bars B21 to B23 corresponding to the second characteristic values of each medical institution are displayed in association with each of points P21 to P23.

Here, the range bar B21 corresponds to the second characteristic value related to hospital A detected for the age of the newborn (0 to 1 month), and the range bar B22 corresponds to the second characteristic value detected for the age of the newborn (0 to 1 month). The range bar B23 corresponds to the second characteristic value related to Hospital C detected for the age group of 1 to 3 years old. That is, on the test value transition screen G7, based on the age (monthly) at which the child's test was performed, a range bar corresponding to the second characteristic value of the corresponding age is displayed in association with the test value.

In addition, FIG. 15 shows an example in which the access source medical institution is Hospital B, and the second characteristic value related to the age of the newborn baby detected from the medical data of Hospital B is set as the range bar B22a to B22a. It is displayed in association with point P21. Similarly, second characteristic values related to the age range of 1 to 3 years old detected from the medical care data of Hospital B are displayed as range bars B22b to B22b in association with point P23.

According to such a configuration, the reference range corresponding to the characteristics of the subject, such as the age of the subject, can be displayed in association with the test value, so that the reference range suitable for the characteristics of the subject can be used as an index. be able to. In addition, by displaying the reference range of a standard medical institution and the reference range of other medical institutions in a state where it can be compared, it is possible to determine the degree of variation in test results at each medical institution for each characteristic of the subject. It is easy to understand whether there is Therefore, it is possible to improve the convenience of displaying measurement results obtained at a plurality of medical institutions.

(Modification 4)
In the embodiment described above, the range specified by two values, the upper limit value and the lower limit value, is used as the reference range, but the reference range is not limited to this, and each range specified by three or more values may be used as the reference range.

FIG. 16 is a diagram showing an example of the display form of the test value transition screen according to this modification. Here, the test value change screen G8 in FIG. 16 represents the change in the results of pathological tests performed on a specific subject. The horizontal axis represents the date when the test was performed, and the vertical axis represents the test value.

As shown in FIG. 16, the test value transition screen G8 shows an example in which reference ranges are defined in three stages: negative, positive (low expression), and positive (high expression). In this case, the information providing server 20 (detection function 232) can detect the second characteristic value by specifying the threshold value B32 of each stage from the results of pathological examination included in the medical data.

In addition, in the test value transition screen G8, an example is given in which the access source medical institution is "hospital B", and point P32 corresponds to the test value acquired at hospital B. In addition, the uncorrected test values of the non-access source medical institutions "Hospital A" and "Hospital C" are represented by points P31 and P33, and the values after correction are represented by points P31' and P33'.

According to such a configuration, even if the reference range is defined in multiple stages, it is possible to display the same test value transition screen as in the embodiment described above. It is possible to achieve the following effects.

(Modification 5)
In the embodiment described above, the test values whose characteristic values have already been detected are connected using solid lines, but the present invention is not limited to this form. For example, even if the characteristic value is a detected test value, if that test value corresponds to a statistical outlier, you can connect it using different line types and display colors to make the test value as an outlier. It may be displayed so that it can be identified.

FIG. 17 is a diagram showing an example of the display form of the test value transition screen according to this modification. The horizontal axis of the test value transition screen G9 represents the date when the test was performed, and the vertical axis represents the test value. Further, each point from point P41 to point P45 corresponds to a test value obtained at a plurality of medical institutions, and each of range bars B41 to B45 corresponds to a second characteristic related to the medical institution where each test value was obtained. corresponds to a value. Note that it is assumed that characteristic values of all test values have already been detected.

Here, if, for example, point P43 corresponds to an outlier among points P41 to P45, the information providing server 20 (display control function 235) distinguishes the line segment connected to point P43 from other line segments. By using different line types, it is possible to clearly identify that point P43 is an outlier. Note that the method for determining whether a value is an outlier is not particularly limited, and any known technique in the field of statistics or the like may be used.

According to such a configuration, among the test values tested at each medical institution, test values that correspond to outliers are displayed in a way that makes it possible to identify them as outliers, thereby calling the user's attention. I can do it. Therefore, the user can easily exclude test results with low reliability from the analysis target, thereby improving convenience.

(Modification 6)
In the embodiment described above, a mode has been described in which test values are corrected based on the access source medical institution, but the reference medical institution is not limited to this. For example, if the user specifies a reference medical institution, the test values may be corrected based on the specified medical institution.

(Modification 7)
In the embodiment described above, the information providing server 20 detects the characteristic values of each medical institution, but the present invention is not limited to this. For example, each of the medical institution systems 10 may detect characteristic values from medical treatment data acquired at its own medical institution. Furthermore, for example, a device external to the medical information processing system may detect the characteristic values of each medical institution. Note that when the characteristic value is detected outside the information providing server 20, the information providing server 20 executes the above-described process using the characteristic value detected by the external device.

(Modification 8)
In the embodiment described above, the information providing server 20 is provided on the network N1 independent of each of the medical institution systems 10, but the installation location of the information providing server 20 is not limited to this. For example, the information providing server 20 may be installed in each of the medical institution systems 10. In addition, some or all of the functions of the information providing server 20 (collection function 231, detection function 232, determination function 233, acquisition function 234, and display control function 235) may be implemented in a medical information processing system such as the terminal device 14, etc. Any of the devices may be provided.

In each of the embodiments described above, an example will be described in which the determination unit, acquisition unit, and display control unit in this specification are implemented by the determination function 233, acquisition function 234, and display control function 235 of the processing circuit 230, respectively. However, the embodiment is not limited to this. For example, the determination unit, the acquisition unit, and the display control unit in this specification may be realized by the table determination function 233, acquisition function 234, and display control function 235 described in the embodiment, or may be implemented only by hardware, or by hardware. The same function may be realized by a combination of software and software.

Furthermore, the term "processor" used in the above explanation refers to, for example, the CPU (Central Processor).
Processing Unit), GPU (Graphics Processing Unit), Application Specific Integrated Circuit (ASIC), programmable logic device (for example, Simple Programmable Logic Device (SPLD)), complex programmable logic device (Complex Programmable Logic Device: CPLD) and Field Programmable Gate Array (FPGA). The processor realizes functions by reading and executing programs stored in the storage circuit 220. Note that instead of storing the program in the storage circuit 220, the program may be directly incorporated into the circuit of the processor. In this case, the processor implements its functions by reading and executing a program built into the circuit. Further, the processor of this embodiment is not limited to being configured as a single circuit, but may be configured as a single processor by combining a plurality of independent circuits to realize its functions.

Here, the program executed by the processor is provided by being pre-installed in a ROM (Read Only Memory), a storage circuit, or the like. This program is a file in a format that can be installed or executable on these devices, such as CD (Compact Disk)-ROM, FD (Flexible Disk), CD-R (Recordable), DVD (Digital Versatile Disk), etc. It may be provided recorded on a computer readable storage medium. Further, this program may be stored on a computer connected to a network such as the Internet, and may be provided or distributed by being downloaded via the network. For example, this program is composed of modules including each of the above-mentioned functional units. In actual hardware, a CPU reads a program from a storage medium such as a ROM and executes it, so that each module is loaded onto the main storage device and generated on the main storage device.

According to at least one embodiment described above, it is possible to improve the convenience of displaying measurement results measured at a plurality of medical institutions.

Although several embodiments of the invention have been described, these embodiments are presented by way of example and are not intended to limit the scope of the invention. These embodiments can be implemented in various other forms, and various omissions, substitutions, and changes can be made without departing from the gist of the invention. These embodiments and their modifications are included within the scope and gist of the invention as well as within the scope of the invention described in the claims and its equivalents.

10 Medical institution system 20 Information provision server 231 Collection function 232 Detection function 233 Judgment function 234 Acquisition function 235 Display control function

Claims (8)

a storage unit that stores measurement data in which a measurement value obtained by testing or measuring a subject, a date and time when the measurement value was obtained, and information indicating a medical institution that obtained the measurement value; ,
an acquisition unit that acquires the measurement data related to a subject specified from any of the medical institutions from the storage unit;
The measurement values included in the measurement data acquired by the acquisition unit are arranged and displayed in chronological order so that the medical institutions where the measurement values were acquired can be identified, and are associated with the arranged measurement values. a display control unit that displays information based on characteristic values representing characteristics of the medical institution that acquired the measured value in a manner that can be identified among the medical institutions;
has
The characteristic value is a reference range used in each of the medical institutions for determining the measured value,
The display control unit adds and displays a reference range of the medical institution that acquired the measured value for each of the arranged measured values, and also displays the reference range of the medical institution that acquired the measured value by the acquisition unit. , a measurement in which the determination result of each of the measurement values based on the reference range of a specific medical institution serving as a reference is different from the determination result of the measurement value based on the reference range of another medical institution other than the specific medical institution; A medical information processing system that displays values in an identifiable manner . The characteristic value is a statistically representative value of the measurement values obtained at each of the medical institutions,
The display control unit is configured to display characteristic values of a reference specific medical institution among medical institutions related to the measurement data acquired by the acquisition unit and characteristic values of other medical institutions other than the specific medical institution. The medical information processing system according to claim 1, wherein the corrected measured value corrected based on a difference is added to the arranged measured values and displayed. The display control unit is configured to display, among the measurement values included in the measurement data acquired by the acquisition unit, measurement values acquired at a specific medical institution as a reference, and measurement values at other medical institutions other than the specific medical institution. The medical information processing system according to claim 1 or 2, wherein the acquired measurement value is displayed in a distinguishable manner. The display control unit connects each of the arranged measured values in chronological order with a line segment, and displays the line segment using a display color that displays the measured value obtained at the specific medical institution. The medical information processing system according to item 3. The display control unit is configured to make a line type that connects to a measurement value obtained at a medical institution where the characteristic value does not exist different from a line type that connects other measurement values other than the measurement value. Medical information processing system. The medical information processing system according to any one of claims 2 to 5, wherein the display control unit displays a measurement value obtained at a medical institution in which the characteristic value does not exist so that it can be distinguished from other measurement values. . further comprising a determination unit that determines the medical institution that designated the subject;
The medical information processing system according to any one of claims 2 to 6, wherein the display control unit uses the medical institution determined by the determination unit as a reference. The medical information processing system according to claim 1 , wherein the display control unit displays a reference range of a specific medical institution as a reference so as to be distinguishable from reference ranges of other medical institutions other than the specific medical institution.

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