Cross-institutional medical report calling monitoring method, device and electronic equipment

Abstract

This application provides a method, device, and electronic device for monitoring cross-institutional medical report retrieval, relating to the field of medical information technology. The method includes: acquiring multiple report retrieval record tables from preset medical institutions; statistically analyzing the information corresponding to preset monitoring indicators in these record tables to generate analysis results for the preset monitoring indicators. Thus, by acquiring multiple report retrieval record tables, medical big data can be retrieved; and by using preset monitoring indicators to perform statistical analysis on these record tables, the tracking, monitoring, and quantitative analysis of cross-institutional medical report retrieval can be achieved, enhancing the data asset value of medical big data. Furthermore, the analysis results of the preset monitoring indicators can also provide guidance for hospital medical management, thereby improving the efficiency of medical services.

Description

Technical Field

[0001] This invention relates to the field of medical information technology, and more specifically, to a cross-institutional medical report retrieval and monitoring method, device, and electronic device. Background Technology

[0002] Examinations and tests are an important part of medical services. Achieving mutual recognition of examination and test results among different medical institutions based on medical big data can help improve the utilization rate of medical resources, reduce medical costs, improve diagnostic and treatment efficiency, ensure medical quality and safety, and further improve the medical experience of the public.

[0003] However, most current research focuses on how to achieve data sharing in inspection and testing to achieve mutual recognition of results, while there is less analysis on the efficiency, quality, and benefits of sharing and mutual recognition of inspection and testing results. Summary of the Invention

[0004] The purpose of this invention is to address the shortcomings of the prior art by providing a cross-institutional medical report retrieval monitoring method, device, and electronic device to enable analysis of cross-institutional report retrieval.

[0005] To achieve the above objectives, the technical solutions adopted in the embodiments of this application are as follows:

[0006] In a first aspect, embodiments of this application provide a cross-institutional medical report retrieval monitoring method, including:

[0007] Obtain multiple report retrieval record tables from preset medical institutions. Each report retrieval record table records: information on retrieval of medical reports from other medical institutions during a single visit to the preset medical institution;

[0008] Statistical analysis is performed on the information corresponding to the preset monitoring indicators in the multiple report call record tables to generate the analysis results of the preset monitoring indicators.

[0009] Optionally, the step of statistically analyzing the information corresponding to the preset monitoring indicators in the multiple report call record tables to generate the analysis results of the preset monitoring indicators includes:

[0010] Based on multiple monitoring dimensions, statistical analysis is performed on the information corresponding to each monitoring indicator in each monitoring dimension in the multiple report call record tables to generate the analysis results for each monitoring dimension. The analysis results for each monitoring dimension include the analysis results of each monitoring indicator in each monitoring dimension.

[0011] The multiple monitoring dimensions include at least two of the following: service efficiency, service quality, economic benefits, and reasons for not calling the report.

[0012] Optionally, if the plurality of monitoring dimensions includes a service efficiency dimension, the method further includes:

[0013] If the analysis result of the first preset monitoring indicator in the service efficiency dimension indicates that the service efficiency of the preset medical institution does not meet the first preset condition, then the first early warning message for the preset medical institution will be output.

[0014] Optionally, if the plurality of monitoring dimensions includes a service quality dimension, the method further includes:

[0015] If the analysis results of the second preset monitoring indicator in the service quality dimension indicate that the service quality of the preset medical institution does not meet the second preset condition, then a second early warning message will be output for the preset medical institution.

[0016] Alternatively, if the analysis results of the third preset monitoring indicator in the service quality dimension indicate that the service quality of the cited medical institution does not meet the third preset condition, then a third early warning message will be output for the cited medical institution; wherein, the cited medical institution is the medical institution whose medical report is cited by the preset medical institution.

[0017] Optionally, if the multiple monitoring dimensions include an economic benefit dimension, the step of statistically analyzing the information corresponding to each monitoring indicator in each monitoring dimension of the multiple report call record tables, and generating analysis results for each monitoring dimension, includes:

[0018] Based on the economic benefit dimension, statistical analysis is performed on the information corresponding to each monitoring indicator in the multiple report call record tables to generate the analysis results for the economic benefit dimension.

[0019] Optionally, the step of statistically analyzing the information corresponding to each monitoring indicator in each monitoring dimension of the multiple report call record tables according to multiple monitoring dimensions, and generating the analysis results for each monitoring dimension, includes:

[0020] Based on at least one analysis dimension in each of the monitoring dimensions, statistical analysis is performed on the information corresponding to each monitoring indicator in each analysis dimension in the plurality of report call record tables to generate analysis results for each of the monitoring dimensions. The analysis results for each of the monitoring dimensions include: the statistical analysis results of the at least one analysis dimension. The statistical analysis results for each analysis dimension include: the statistical analysis results of each monitoring indicator in each analysis dimension.

[0021] The at least one analysis dimension includes at least one of the following: medical institution dimension, patient dimension, time interval dimension, medical report dimension, diagnosis and treatment behavior dimension, and medical cost dimension.

[0022] Optionally, before obtaining multiple report retrieval record tables of preset medical institutions, the method further includes:

[0023] Obtain the current medical visit information table of a patient during a single visit to the preset medical institution, as well as the historical report information table of the patient.

[0024] The current medical visit information table and the historical report information table are integrated to generate a report call record table.

[0025] Optionally, before obtaining the current visit information table of a patient and the historical report information table of the patient during a single visit at the preset medical institution, the method further includes:

[0026] If the historical medical records of a patient in the preset medical institution are detected to be retrieved, then the target historical medical reports of other medical institutions related to the patient are matched.

[0027] Based on the access information of the patient's corresponding medical staff in the preset medical institution to the target historical medical report, the current visit access information table is generated.

[0028] Optionally, the step of statistically analyzing the information corresponding to the preset monitoring indicators in the multiple report call record tables to generate the analysis results of the preset monitoring indicators includes:

[0029] Non-critical value reports are selected from the multiple report call record tables; wherein, the non-critical value reports are those that do not contain critical values.

[0030] Statistical analysis is performed on the information corresponding to the preset monitoring indicators in the selected non-critical value reports to generate the analysis results of the preset monitoring indicators.

[0031] Secondly, embodiments of this application also provide a cross-institutional medical report retrieval monitoring device, including: an acquisition module and an analysis module;

[0032] The acquisition module is used to acquire multiple report retrieval record tables of preset medical institutions. Each report retrieval record table records: retrieval information of medical reports from other medical institutions during a visit to the preset medical institution.

[0033] The analysis module is used to perform statistical analysis on the information corresponding to the preset monitoring indicators in the multiple report call record tables, and generate the analysis results of the preset monitoring indicators.

[0034] Thirdly, embodiments of this application also provide an electronic device, including: a processor, a storage medium, and a bus, wherein the storage medium stores program instructions executable by the processor, and when the electronic device is running, the processor communicates with the storage medium via the bus, and the processor executes the program instructions to perform the steps of the cross-agency medical report retrieval monitoring method as described in any of the first aspects.

[0035] The beneficial effects of this application are as follows: This application provides a method for monitoring cross-institutional medical report retrieval. After obtaining multiple report retrieval record tables from preset medical institutions, statistical analysis is performed on the information corresponding to preset monitoring indicators in the multiple report retrieval record tables to generate analysis results for the preset monitoring indicators. Thus, by obtaining multiple report retrieval record tables, medical big data can be retrieved. Using preset monitoring indicators, statistical analysis of the multiple report retrieval record tables is performed to achieve tracking, monitoring, and quantitative analysis of cross-institutional medical report retrieval, thereby enhancing the data asset value of medical big data. Furthermore, the analysis results of the preset monitoring indicators can also provide guidance for hospital medical management, thereby improving the efficiency of medical services. Attached Figure Description

[0036] To more clearly illustrate the technical solutions of the embodiments of the present invention, the accompanying drawings used in the embodiments will be briefly introduced below. It should be understood that the following drawings only show some embodiments of the present invention and should not be regarded as a limitation on the scope. For those skilled in the art, other related drawings can be obtained based on these drawings without creative effort.

[0037] Figure 1 A flowchart illustrating a cross-agency medical report retrieval monitoring method provided as an embodiment of this application;

[0038] Figure 2 A flowchart illustrating a cross-agency medical report retrieval monitoring method, as provided in another embodiment of this application;

[0039] Figure 3 A flowchart illustrating a cross-agency medical report retrieval monitoring method, as provided in another embodiment of this application;

[0040] Figure 4 A flowchart illustrating a cross-agency medical report retrieval monitoring method, as provided in another embodiment of this application;

[0041] Figure 5 A schematic diagram of a cross-agency medical report retrieval monitoring device provided as an embodiment of this application;

[0042] Figure 6 This is a schematic diagram of an electronic device provided in an embodiment of this application. Detailed Implementation

[0043] To make the objectives, technical solutions, and advantages of the embodiments of the present invention clearer, the technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are some embodiments of the present invention, but not all embodiments.

[0044] In this application, unless otherwise expressly specified and limited, the terms "first" and "second" are used for descriptive purposes only and should not be construed as indicating or implying relative importance or implicitly specifying the number of indicated technical features. Thus, a feature defined as "first" or "second" may explicitly or implicitly include at least one feature. In the description of this invention, "a plurality of" means at least two, such as two or three, unless otherwise expressly specified. The terms "comprising," "including," or any other variations thereof are intended to cover non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements includes not only those elements but also other elements not expressly listed, or elements inherent to such a process, method, article, or apparatus. Without further limitations, an element defined by the phrase "comprising one..." does not exclude the presence of other identical elements in the process, method, article, or apparatus that includes the element.

[0045] Medical examinations and tests are a crucial component of healthcare services. Achieving mutual recognition and access to examination and test results across different medical institutions based on big data in healthcare can help improve the utilization of medical resources, reduce medical costs, increase diagnostic and treatment efficiency, ensure medical quality and safety, and further enhance the public's healthcare experience. However, current research largely focuses on how to achieve data sharing for mutual recognition and access to examination and test results, with limited analysis of the efficiency, quality, and benefits of such sharing and access.

[0046] To address the current shortcomings in monitoring medical report retrieval, this application provides several possible implementation methods to analyze cross-institutional report retrieval. These are explained below with reference to the accompanying drawings and multiple examples. Figure 1 This is a flowchart illustrating a cross-agency medical report retrieval monitoring method according to an embodiment of this application. This method can be implemented by an electronic device running the aforementioned cross-agency medical report retrieval monitoring method. This electronic device can be, for example, a terminal device or a server. Figure 1 As shown, the method includes:

[0047] Step 101: Obtain multiple report retrieval record tables for preset medical institutions. Each report retrieval record table records: the retrieval information of medical reports from other medical institutions during a visit to a preset medical institution.

[0048] First, obtain multiple report retrieval record tables for the preset medical institution to be analyzed. It should be noted that, depending on the specific analysis objective, the obtained multiple report retrieval record tables can be multiple report retrieval record tables for a preset time period, thereby enabling monitoring of the medical report retrieval status of the preset medical institution within the preset time period; alternatively, the obtained multiple report retrieval record tables can also be multiple report retrieval record tables for a preset patient at the preset medical institution, thereby enabling monitoring of the medical report retrieval status of the preset patient at the preset medical institution.

[0049] The above is merely an example. In actual implementation, depending on the specific analysis requirements, there may be other ways to set the scope of multiple report call record tables. This application does not limit this, as long as the multiple report call records obtained can meet the analysis requirements.

[0050] It should also be noted that each report retrieval record table records information on the retrieval of medical reports from other medical institutions during a single visit to the preset medical institution. The report retrieval record table may include, for example, one or more of the following: the name of the preset medical institution, patient information, historical medical report information, current visit information, and current medical order information. The above is merely an example; the report retrieval record table is a record of the preset medical institution's retrieval of medical reports from other medical institutions. As long as the report retrieval record table accurately describes the retrieval situation, this application does not limit the specific content included in the report retrieval record table.

[0051] In one specific implementation, the report call record table can be set according to Table 1 below, which is a report call record table provided in an embodiment of this application:

[0052] Table 1. A report retrieval record table provided in an embodiment of this application.

[0053]

[0054]

[0055]

[0056]

[0057] In one possible implementation, the report call record table can be generated by integrating multiple tables stored in a pre-set medical institution and / or a medical big data center. The pre-set medical institution may store, for example, the patient's current visit information, basic patient information, current visit report, and payment information; the medical big data center is a data sharing platform for multiple medical institutions, and may store, for example, basic patient information, historical visit reports, and historical payment information, etc., which this application does not limit.

[0058] In one specific implementation, the report retrieval record table can be obtained by integrating the patient basic information table (as shown in Table 2 below), historical medical reports (e.g., including historical medical report tables (as shown in Table 3 below), historical test report collection tables (as shown in Table 4 below)), and historical examination / test order collection tables (e.g., Table 5 below) stored in the medical big data center; and the patient basic information (as shown in Table 1 below) and current medical report (e.g., including current medical record collection tables (as shown in Table 6 below), and current examination / test order collection tables (as shown in Table 7 below) stored in the medical institution. The following is a detailed explanation of each of the aforementioned tables:

[0059] Table 2 is a basic information table for patients provided in one embodiment of this application. As shown in Table 2, the basic information table for patients is mainly used to determine the identity and medical history of patients, so as to retrieve the patient's historical examination and test reports. For the basic information of patients stored in a pre-set medical institution, the patient information collection form can be the same as Table 1, to determine the identity and medical history of the patient visiting the current clinic, and to match the patient's historical medical data; the form of the basic information of patients stored in the pre-set medical institution can also be different from Table 1, that is, other collection methods can be adopted, and this application does not limit this.

[0060] Table 2. A basic information table of patients provided in an embodiment of this application.

[0061]

[0062]

[0063] Table 3 is a historical examination report collection form provided in an embodiment of this application. As shown in Table 3, the historical examination report collection form mainly includes the historical examination reports of the patients.

[0064] Table 3. A historical inspection report collection form provided in an embodiment of this application.

[0065]

[0066] Table 4 is a historical test report collection form provided in an embodiment of this application. As shown in Table 4, the historical test report collection form mainly includes the historical test reports of the patients.

[0067] Table 4. A historical inspection report collection form provided in an embodiment of this application.

[0068]

[0069]

[0070] Table 5 is a historical examination / test medical order collection form provided in an embodiment of this application. As shown in Table 5, the historical examination / test medical order collection form is mainly used for (1) determining whether the newly opened examination / test medical order is consistent with the historical examination / test medical order, so as to avoid duplicate examinations; (2) recording the cost information of the cited historical examinations and tests, so as to quantitatively calculate the medical expenses saved by avoiding duplicate examinations.

[0071] Table 5. A historical examination / testing order collection form provided in an embodiment of this application.

[0072]

[0073]

[0074] Table 6 is a current visit record collection form provided in an embodiment of this application. As shown in Table 6, the current visit record collection form is mainly used to record the visit information of the patient. This collection form can be recorded after the patient's current visit is completed. It is mainly used to track and monitor the patient's access to historical reports and subsequent situations.

[0075] Table 6. A form for collecting medical records for this visit provided in an embodiment of this application.

[0076]

[0077]

[0078] Table 7 is a sample medical order form for this examination and test provided in an embodiment of this application. As shown in Table 7, the sample medical order form for this examination and test is mainly used to record the medical order information for this visit and to monitor the issuance of medical orders, medical order costs and subsequent conditions.

[0079] Table 7. A medical order form for this examination and test provided in an embodiment of this application.

[0080]

[0081] The above is merely an example; in actual implementation, the report call record table can be obtained in other ways, and this application does not limit this.

[0082] Step 102: Perform statistical analysis on the information corresponding to the preset monitoring indicators in the multiple report call record tables, and generate analysis results for the preset monitoring indicators.

[0083] By analyzing multiple report retrieval records from pre-defined medical institutions, and based on pre-defined monitoring indicators, specific analytical results for these pre-defined monitoring indicators are obtained. It should be noted that the pre-defined monitoring indicators can be targeted at patients, receiving personnel, pre-defined medical institutions, or the providers of the cited medical reports; this application does not impose any limitations on this.

[0084] In the following embodiments, this application will specifically describe the possible settings of preset monitoring indicators, and the specific methods for generating analysis results for different preset monitoring indicators.

[0085] In summary, this application provides a method for monitoring cross-institutional medical report retrieval. After obtaining multiple report retrieval record tables from preset medical institutions, statistical analysis is performed on the information corresponding to preset monitoring indicators in these record tables to generate analysis results for the preset monitoring indicators. Thus, by obtaining multiple report retrieval record tables, medical big data can be accessed. Using preset monitoring indicators, statistical analysis of these record tables enables the tracking, monitoring, and quantitative analysis of cross-institutional medical report retrieval, thereby enhancing the data asset value of medical big data. Furthermore, the analysis results of the preset monitoring indicators can also provide guidance for hospital medical management, thereby improving the efficiency of medical services.

[0086] Optionally, in the above Figure 1 Based on this, this application also provides a possible implementation of a cross-institutional medical report retrieval monitoring method, which statistically analyzes the information corresponding to preset monitoring indicators in multiple report retrieval record tables to generate analysis results for the preset monitoring indicators, including:

[0087] Based on multiple monitoring dimensions, statistical analysis is performed on the information corresponding to each monitoring indicator in each monitoring dimension in multiple report call record tables to generate analysis results for each monitoring dimension. The analysis results for each monitoring dimension include: the analysis results of each monitoring indicator in each monitoring dimension; the multiple monitoring dimensions include: service efficiency dimension, service quality dimension, economic benefit dimension, and at least two dimensions from the following dimensions: reason for not calling report.

[0088] In one possible implementation, the cross-institutional medical report retrieval in this application may include multiple monitoring dimensions, each containing at least one monitoring indicator to indicate the monitoring status of that dimension. The final analysis result generating the preset monitoring indicators includes the analysis results of each monitoring indicator within each monitoring dimension.

[0089] This application's multiple monitoring dimensions may include, for example, at least two of the following: service efficiency, service quality, economic benefits, and reasons for not calling reports. The service efficiency dimension assesses the retrieval of medical reports by patients in the preset medical institutions; the service quality dimension assesses the retrieval of medical reports by the preset medical institutions, their medical practice, and the quality of the medical reports from the cited medical institutions; the economic benefits dimension assesses the costs incurred by patients from an economic perspective; and the reasons for not calling reports assess the specific reasons why patients in the preset medical institutions did not call reports. The above is merely an illustrative example. In actual implementation, users can add, delete, or modify specific monitoring dimensions according to their actual needs; this application does not limit this.

[0090] In one specific implementation, Table 8 is a monitoring indicator table provided by an embodiment of this application. As shown in Table 8, the multiple monitoring dimensions include four dimensions: service efficiency dimension, service quality dimension, economic benefit dimension, and reason for non-call report dimension. Each dimension includes multiple specific monitoring indicators:

[0091] Table 8. A monitoring index table provided in an embodiment of this application.

[0092]

[0093]

[0094] The specific monitoring indicators in Table 8 are explained below.

[0095] For monitoring metrics in the service efficiency dimension:

[0096] The review rate is calculated as follows: (Number of times the patient consults historical examination and test reports / Number of times the patient is prompted to consult examination and test reports) (Note that during the consultation, the patient can be reminded to consult historical examination and test reports through prompt messages). When a patient consults and is prompted to consult historical examination and test reports, the prompting behavior and the patient's actions in response to that behavior are captured. After the consultation is completed (or after the patient has settled the medical order for this examination and test), the captured prompting behavior and the patient's actions in response to that behavior are recorded in the consultation record in Table 1 as "Whether the examination and test reports were consulted (Yes / No)". The number of times the patient consults historical examination and test reports = the number of times "Yes" was prompted to consult the examination and test reports; the number of times the patient is prompted to consult the examination and test reports = the number of times "Yes" + "No" was prompted to consult the examination and test reports. The review rate is then calculated. Based on this calculation result, further statistical analysis can be performed according to different dimensions. Table 9 is a statistical analysis dimension category table provided by an embodiment of this application. As shown in Table 9, the review rate can be analyzed under any of the following dimension categories or a combination of multiple dimension categories:

[0097] Table 9. A statistical analysis dimension category table provided in an embodiment of this application.

[0098]

[0099]

[0100] The number of times a patient references a historical examination or test report is calculated. During a patient's visit, the system captures their actions of accessing historical medical records and examination / test reports. This information is recorded in Table 1's visit record table after the visit (or after the patient has settled their medical order for the current examination / test). The number of times a patient references a historical examination or test report is equal to the number of times the report was cited (yes / no). Further statistical analysis can be performed on this result according to different dimensions (e.g., the dimensions in Table 9).

[0101] Mutual recognition rate = Number of times the attending physician references historical examination and test reports / Number of times the attending physician is prompted to review the examination and test reports. During the patient's visit, the system captures prompts for reviewing historical examination and test reports and the attending physician's actions of accessing these reports. After the visit is completed (or after the patient has settled their medical order for the current examination and test), the system records whether the examination / test report was reviewed (yes / no) and whether it was accessed (yes / no) in the current visit record in Table 1. The number of times the attending physician accesses historical examination and test reports = the number of times the examination / test report was accessed (yes); the number of times the attending physician was prompted to review the examination / test report = the number of times the examination / test report was reviewed (yes + no). The mutual recognition rate is then calculated. Further statistical analysis can be performed on this calculation result according to different dimensions (e.g., the dimensions in Table 9). A simple example is given below; the method for further statistical analysis of other monitoring indicators using different dimensions is similar and will not be elaborated further here.

[0102] After calculating the mutual recognition rate as the ratio of the number of times doctors cited historical examination and test reports to the number of times the system prompted doctors to review these reports, further statistical analysis can be performed according to different dimensions and categories (Table 9). For example, regarding the time interval, categories such as report generation time, report mutual recognition citation time, and specimen collection time can be selected. For instance, the mutual recognition rate for reports generated between July 1, 2022, and July 31, 2022 can be specified. Regarding patients, categories such as patient age and patient gender can be selected. For instance, the mutual recognition rate for reports of male patients aged 20-30 can be specified. Regarding medical institutions, categories such as the medical institution visited, the level of the medical institution visited, the name / employee number of the attending physician, and the institution that issued the historical examination / test report can be selected. For instance, the mutual recognition rate for reports of a specific doctor at a specific hospital can be specified. Regarding treatment behavior, categories such as the type of visit (outpatient / emergency / inpatient), disease diagnosis number, and medical order type (examination / test) can be selected. For instance, the mutual recognition rate for reports of a specific disease diagnosis number can be specified. Regarding examination behavior, categories such as examination method name, examination category, and examination item code can be selected. For example, you can specify the report mutual recognition rate for a certain examination method, such as CT scan. Regarding testing behavior, categories such as test method name, test item, and test item code can be selected. For example, you can specify the report mutual recognition rate for a certain test item, such as complete blood count (CBC). Regarding medical expenses, categories such as total prescription cost, medical insurance payment cost, personal account payment cost, and out-of-pocket payment cost can be selected. For example, you can specify the report mutual recognition rate for medical insurance payment costs > 300 yuan. You can also combine these categories for statistical analysis. For example, you can select report generation time, patient age, level of medical institution, type of visit, test item category, and medical insurance payment cost to specify the report mutual recognition rate for test reports generated between July 1, 2022 and July 31, 2022, for patients aged 20-30, from tertiary hospitals, outpatient clinics, CBCs, and with medical insurance payment costs > 100 yuan.

[0103] The number of repeated examinations / tests = the number of times a patient orders repeated examinations / tests. When a patient visits, the system automatically determines whether the newly ordered examination / test order is consistent with previous orders, and stores the result in Table 1 to indicate whether the examination / test is a repeated item (yes / no). In one possible implementation, if the system determines that the newly ordered examination / test order is consistent with previous orders, a notification can be sent to the patient to review the examination / test report. If the patient does not refer to the previous report and issues a new examination / test order, this action is captured, and after the consultation is completed (or after the patient has settled the payment for the examination / test order), the result is stored in Table 1 to indicate whether the examination / test is a repeated item (yes / no). The number of times a patient orders repeated examinations / tests = the number of times the "yes" result is found for a repeated examination / test item, and the number of repeated examinations / tests is calculated. Further statistical analysis can be performed on these calculation results according to different dimension categories (such as the dimension categories in Table 9).

[0104] The duplicate examination / test rate is calculated as: the number of times a patient orders duplicate examination / test orders / the number of times the system prompts the patient to review examination / test reports. When a patient visits, the system determines whether the newly ordered examination / test order matches the previous orders, prompting the patient to review the previous reports. The determination result is stored in Table 1 under "Whether it is a duplicate examination / test item (Yes / No)" and "Whether the examination / test report was reviewed (Yes / No)." In one possible implementation, when a patient visits and the system determines that the newly ordered examination / test order matches the previous orders, a prompt can be sent to the patient to review the reports. If the patient does not use the previous reports and orders a new examination / test order, this action is captured. After the visit is completed (or after the patient has settled the payment for the current examination / test order), this is recorded in Table 1 under "Whether it is a duplicate examination / test item (Yes / No)" and "Whether the examination / test report was reviewed (Yes / No)." The number of times a patient orders repeated tests and examinations = whether it is a repeated test / the number of times the test item is marked "yes"; the number of times the system prompts the patient to review the test and examination reports = the number of times the patient requests to review the test and examination reports (yes + no). The repeated test and examination rate is calculated. Further statistical analysis can be performed on these results according to different dimensions (e.g., the dimensions in Table 9).

[0105] Furthermore, a service efficiency value can be set for the service efficiency dimension to comprehensively evaluate the above monitoring indicators. For example, the service efficiency value can be calculated as: (P1 × Query Rate + P2 × Mutual Recognition Rate - P3 × Duplicate Inspection Rate) × 100. Here, P1, P2, and P3 are weight values ​​that can be set by the user according to actual needs, such as setting P1 = 0.5, P2 = 1.5, and P3 = 1.

[0106] For monitoring indicators in the service quality dimension:

[0107] The report citation rate is calculated as follows: (Number of times historical examination and test reports issued by other medical institutions are cited and mutually recognized by the pre-defined medical institution's patient staff) / (Number of times historical examination and test reports issued by other medical institutions are pushed to the system). Data extraction: The number of times historical examination and test reports issued by other medical institutions are cited and mutually recognized by the pre-defined medical institution's patient staff is the number of times the "Yes / No" field in the current visit record in Table 1 indicates whether the examination / test report was cited. This is then filtered and statistically analyzed based on the issuing medical institution's name and organization code in the historical examination / test report information in Table 1. The number of times historical examination and test reports issued by other medical institutions are pushed to the system is the number of times the "Yes + No" field in Table 1 indicates whether the examination / test report was viewed. This is then filtered and statistically analyzed based on the issuing medical institution's name and organization code in the historical examination / test report information in Table 1. Further statistical calculations can be performed based on different dimensions (e.g., the dimensions in Table 9).

[0108] Number of medical malpractice disputes (issuing hospital) = Number of times medical malpractice disputes arise after historical examination and test reports issued by other medical institutions are cited. In Table 1, the number of times a medical malpractice dispute occurred and the issuing hospital was determined to be responsible for the medical malpractice is listed in the subsequent monitoring records. Further statistical calculations can be performed based on different dimensions (e.g., the dimensions in Table 9).

[0109] Number of medical malpractice disputes (referenced report hospital) = Number of medical malpractice disputes arising after a pre-defined medical institution references and mutually recognizes historical examination and test reports from other medical institutions. In Table 1, the number of times a medical malpractice dispute occurred and the referenced report hospital was determined to be responsible for the malpractice is listed in the subsequent monitoring records. Further statistical calculations can be performed based on different dimensions (e.g., the dimensions in Table 9).

[0110] The number of reported diagnostic discrepancies equals the number of times a patient cited an examination report but the diagnosis differed. If a patient cited a historical examination report but only the image file, without citing the diagnostic result, this behavior is captured and recorded in Table 1 of the current patient visit record. The number of times a patient cited an examination report but the diagnosis differed equals the number of times the citation in Table 1 of the current patient visit record was partial, thus calculating the number of reported diagnostic discrepancies. Further statistical calculations can be performed based on different dimensions (e.g., the dimensions in Table 9).

[0111] In addition, the service quality dimension can also be configured with service quality values ​​to comprehensively evaluate the service quality of the medical institutions issuing the reports. For example, the service quality value can be calculated as follows: Service Quality Value = P1 × Report Citation Rate × 100 - P2 × Number of Discrepancies in Report Diagnostic Results - P3 × Number of Medical Accident Disputes (Issuing Hospital). Here, P1, P2, and P3 are weighted values ​​that can be set by the user according to their actual needs, such as setting P1 = 1.5, P2 = 0.5, and P3 = 3.

[0112] For monitoring indicators in the economic benefit dimension:

[0113] Costs incurred from duplicate tests and examinations. By filtering the current medical record in Table 1 to determine if any tests or examinations are duplicates, the total cost of these tests and examinations listed in Table 1 is calculated. Furthermore, the costs can be statistically analyzed according to the source of payment, including medical insurance payments, personal account payments, and out-of-pocket payments from the current medical record in Table 1. Further statistical calculations can be performed based on different categories (e.g., the categories in Table 9).

[0114] The results show the savings from mutual recognition. First, filter the items in Table 1 that reference examination / test reports in this medical record. Then, calculate the total cost of these items from the medical order forms in Table 1. Furthermore, statistics can be compiled separately according to the source of payment, including medical insurance payments, personal account payments, and out-of-pocket payments from the medical order forms in Table 1. Further statistical calculations can be performed based on different dimensions (e.g., the dimensions in Table 9).

[0115] The specific process for monitoring metrics that did not trigger the reporting reason dimension will be explained in subsequent embodiments and will not be repeated here:

[0116] Reasons for not reviewing reports. When a patient receives a notification about historical examination and test reports, but the patient does not review them, the system will prompt the patient to enter a reason for not reviewing the reports. This reason will be recorded in Table 1 for statistical analysis.

[0117] Reasons for not citing reports. When a patient receives a consultation, a notification will be sent to them regarding historical examination and test reports. If the patient reviews the reports but does not cite them, they will be prompted to enter a reason for not citing them. These reasons will be recorded in Table 1 for statistical analysis.

[0118] The above is merely an example. In actual implementation, there may be other monitoring dimensions or indicators, which this application does not limit.

[0119] By constructing relevant monitoring indicators across dimensions such as service efficiency, service quality, economic benefits, and reasons for not calling reports, the system can quantitatively assess the medical report retrieval status of pre-selected medical institutions in terms of service efficiency, service quality, and economic benefits. It can also collect and organize the reasons for not calling reports, thereby providing decision-making assistance to pre-selected medical institutions and reception staff, thus improving industry supervision capabilities, enhancing the quality of medical services, and promoting the benefits of medical collaboration services.

[0120] Optionally, based on the above embodiments, this application also provides a possible implementation of a cross-institutional medical report retrieval monitoring method. If the multiple monitoring dimensions include a service efficiency dimension, the method further includes:

[0121] If the analysis results of the first preset monitoring indicator in the service efficiency dimension indicate that the service efficiency of the preset medical institution does not meet the first preset condition, then the first early warning message for the preset medical institution will be output.

[0122] If multiple monitoring dimensions include a service efficiency dimension, and through the above embodiments and the multiple monitoring indicators of the service efficiency dimension listed in Table 1, if the analysis result of the first preset monitoring indicator indicates that the service efficiency of the preset medical institution does not meet the first preset condition, that is, at least one monitoring indicator of the preset medical institution is abnormal, then a first warning message for the preset medical institution will be output to notify the preset medical institution of this abnormal situation.

[0123] The failure to meet the first preset condition may be, for example, that the monitoring value of the first preset monitoring indicator is not within the preset warning value range, or that it has not reached the qualified value corresponding to the first preset monitoring indicator. This application does not limit this, and users can flexibly set it according to the specific monitoring content of the first preset monitoring indicator.

[0124] In one specific implementation, for example, the first preset condition is that it exceeds a warning value: that is, monitoring indicators and warning values ​​for the indicators are preset, and relevant information from the stored report retrieval record table is periodically retrieved. The system calculates and judges whether the calculation result exceeds the warning value according to the formula corresponding to the monitoring indicator. If it exceeds the warning value, a first warning message is output to prompt the user to assist in decision-making. For example, if the review rate is set to 70%, when the review rate of a certain patient is less than 70%, a warning will be issued to the patient, the medical institution manager, and the regional health administrator.

[0125] The above are merely illustrative examples. In actual implementation, there may be other implementation methods, which are not limited in this application.

[0126] Optionally, based on the above embodiments, this application also provides a possible implementation of a cross-institutional medical report retrieval monitoring method, wherein multiple monitoring dimensions include: service quality dimension, Figure 2 A flowchart illustrating a cross-agency medical report retrieval monitoring method is provided as another embodiment of this application; such as Figure 2 As shown, the method also includes:

[0127] Step 201: If the analysis results of the second preset monitoring indicator in the service quality dimension indicate that the service quality of the preset medical institution does not meet the second preset condition, then output the second early warning message for the preset medical institution.

[0128] Step 202: Alternatively, if the analysis results of the third preset monitoring indicator in the service quality dimension indicate that the service quality of the cited medical institution does not meet the third preset condition, then output the third early warning message for the cited medical institution; wherein, the cited medical institution is the medical institution whose medical report is cited by the preset medical institution.

[0129] If multiple monitoring dimensions include a service quality dimension, and the analysis results of the second preset monitoring indicator indicate that the service quality of the preset medical institution does not meet the second preset condition, i.e., at least one monitoring indicator of the preset medical institution is abnormal, then a second early warning message is output for the preset medical institution to notify the preset medical institution of this abnormal situation.

[0130] The failure to meet the second preset condition may be, for example, that the monitoring value of the second preset monitoring indicator is not within the preset warning value range, or that it has not reached the qualified value corresponding to the second preset monitoring indicator. This application does not limit this, and users can flexibly set it according to the specific monitoring content of the second preset monitoring indicator.

[0131] In one specific implementation, for example, the second preset condition is less than or equal to a warning value: This involves pre-setting monitoring indicators and their warning values, periodically retrieving relevant information from the stored report retrieval record table, calculating and determining whether the calculation result exceeds the warning value based on the formula corresponding to the monitoring indicator. If it does, a second warning message is output to the user to assist in decision-making. For example, if the number of medical malpractice disputes (referring to the hospital in the report) is set to 2, when the number of medical malpractice disputes (referring to the hospital in the report) caused by citing a medical report from a certain medical institution exceeds 2, a second warning message is output to the user to assist in decision-making, thus alerting the administrators of the medical institution and regional healthcare administrators.

[0132] In addition, if the analysis results of the third preset monitoring indicator indicate that the service quality of the preset medical institution does not meet the third preset condition, that is, at least one monitoring indicator of the service quality of the referenced medical institution is abnormal, then a third early warning message will be output for the referenced medical institution to notify the medical institution of this abnormality.

[0133] Among them, not meeting the third preset condition may be, for example, the monitoring value of the third preset monitoring indicator is not within the preset warning value range, or it has not reached the qualified value corresponding to the third preset monitoring indicator. This application does not limit this, and users can flexibly set it according to the specific monitoring content of the third preset monitoring indicator.

[0134] In one specific implementation, for example, the third preset condition is less than or equal to a preset warning value: that is, monitoring indicators and warning values ​​for the indicators are preset, and relevant information from the stored report retrieval record table is periodically retrieved. The results are calculated according to the formula corresponding to the monitoring indicators, and it is determined whether the calculated result is greater than the warning value. If it is greater than the warning value, a third warning message is output to prompt the user to assist in decision-making. For example, if the number of medical malpractice disputes (issuing hospital) is set to 2, when the number of medical malpractice disputes (issuing hospital) caused by referencing a medical report from another medical institution exceeds 2, a warning will be issued to the preset medical institution and / or the managers of that other medical institution and the regional health management personnel.

[0135] The above are merely illustrative examples. In actual implementation, there may be other implementation methods, which are not limited in this application.

[0136] Optionally, based on the above embodiments, this application also provides a possible implementation of a cross-institutional medical report retrieval monitoring method. If multiple monitoring dimensions include an economic benefit dimension, statistical analysis is performed on the information corresponding to each monitoring indicator in each monitoring dimension of multiple report retrieval record tables based on the multiple monitoring dimensions to generate analysis results for each monitoring dimension, including:

[0137] Statistical analysis is performed on the information corresponding to each monitoring indicator in the economic benefit dimension of multiple report call record tables to generate analysis results for the economic benefit dimension.

[0138] If multiple monitoring dimensions include the economic benefit dimension, the information corresponding to each monitoring indicator in the multiple report call record tables is statistically analyzed using the above embodiments and the multiple monitoring indicators of the economic benefit dimension listed in Table 8 to generate the analysis results of the economic benefit dimension.

[0139] Optionally, based on the above embodiments, this application also provides a possible implementation of a cross-institutional medical report retrieval monitoring method. Each detection dimension includes at least one analysis dimension. Based on multiple monitoring dimensions, statistical analysis is performed on the information corresponding to each monitoring indicator in each monitoring dimension of multiple report retrieval record tables to generate analysis results for each monitoring dimension, including:

[0140] Based on at least one analysis dimension in each monitoring dimension, statistical analysis is performed on the information corresponding to each monitoring indicator in each analysis dimension in the multiple report call record tables to generate analysis results for each monitoring dimension. The analysis results for each monitoring dimension include: the statistical analysis results of at least one analysis dimension, and the statistical analysis results for each analysis dimension include: the statistical analysis results of each monitoring indicator in each analysis dimension.

[0141] At least one of the following analytical dimensions is required: medical institution dimension, patient dimension, time interval dimension, medical report dimension, diagnosis and treatment behavior dimension, and medical cost dimension.

[0142] One or more analytical dimensions can be used to analyze one or more monitoring indicators for each of the above monitoring dimensions (service efficiency dimension, service quality dimension, economic benefit dimension, etc.), that is, to implement the cross-institutional medical report retrieval monitoring method of the above embodiments for the selected analytical dimensions. The analytical dimensions can be referred to the dimension categories in Table 9, which will not be elaborated further in this application.

[0143] For example, the medical institution dimension can be the dimension corresponding to "medical institution" in Table 9; the patient dimension can be the dimension corresponding to "patient" in Table 9; the time interval dimension can be the dimension corresponding to "time interval" in Table 9; the medical report dimension can be the dimension corresponding to "historical examination or testing behavior" in Table 9; the diagnosis and treatment behavior dimension can be the dimension corresponding to "diagnosis and treatment behavior" in Table 9; and the medical cost dimension can be the dimension corresponding to "medical cost" in Table 9, etc. Furthermore, each analytical dimension can be expanded according to the specific implementation scenario, and this application does not impose any limitations on this.

[0144] The above are merely illustrative examples. In actual implementation, there may be other implementation methods, which are not limited in this application.

[0145] Optionally, in the above Figure 1 Based on this, this application also provides a possible implementation of a cross-institutional medical report retrieval monitoring method. Figure 3 A flowchart illustrating a cross-agency medical report retrieval monitoring method, as provided in another embodiment of this application; Figure 3 As shown, before obtaining multiple report retrieval record tables from preset medical institutions, the method further includes:

[0146] Step 301: Obtain the current visit information table of a patient in a pre-defined medical institution during a single visit, as well as the patient's historical report information table;

[0147] Step 302: Integrate the current medical visit information table and the historical report information table to generate a report call record table.

[0148] For example, in one possible implementation of step 101, the report call record table can be generated by integrating multiple tables stored in a preset medical institution and / or stored in a medical big data center. Therefore, before obtaining multiple report call record tables from the preset medical institution, the current visit call information table of a patient during a single visit (e.g., Tables 2, 6, and 7 in the specific implementation of step 101) and the historical report information table of a patient (e.g., Tables 2, 3, 4, and 5 in the specific implementation of step 101) can be obtained from the preset medical institution; and a report call record table can be generated by integrating the aforementioned current visit call information table and historical report information table.

[0149] For details on the specific implementation method, please refer to the description of the specific implementation method in step 101. This application will not repeat it here.

[0150] Optionally, in the above Figure 3 Based on this, this application also provides a possible implementation of a cross-institutional medical report retrieval monitoring method. Figure 4 A flowchart illustrating a cross-agency medical report retrieval monitoring method is provided as another embodiment of this application; as shown below. Figure 4 As shown, before obtaining the current visit information table and the historical report information table of a patient at a preset medical institution during a single visit, the method further includes:

[0151] Step 401: If the historical medical records of a patient in a preset medical institution are detected to be retrieved, then a target historical medical report of another medical institution related to the patient is matched.

[0152] Step 402: Generate a current medical visit access information table based on the access history of the target patient's corresponding medical staff in the preset medical institutions.

[0153] In one possible implementation, if the historical medical records of a patient at a preset medical institution are detected to be accessed, a match can be made for the patient's target historical medical reports at other medical institutions. The matching process may include, for example:

[0154] If the historical medical records of a patient in a preset medical institution are detected to be accessed, then the historical medical reports of that patient in the preset medical institution and other medical institutions within a preset number of days (N days, the specific value of which can be set by the user according to the actual situation, and this application does not limit it. Due to the special nature of the application field of this application, the value of referring to changes in vital signs too long before the current visit time is limited (or has no reference value). When setting the value of N, you can refer to clinical diagnosis and treatment guidelines, etc., for example, N can be set as the longest period of time for which the patient's historical vital sign information has reference value) are retrieved.

[0155] If the patient's medical history report at other medical institutions is later than the patient's medical history report at the preset medical institution, then the patient's medical history report at other medical institutions is determined as the target medical history report.

[0156] If the patient has a medical history report from another medical institution but not from the preset medical institution, then the patient's medical history report from the other medical institution is determined as the target medical history report.

[0157] Subsequently, based on the access history of the target patient's medical records to the corresponding attending physician in a preset medical institution, a current visit access information table is generated, which may include the following steps:

[0158] First, obtain the operation instructions for the target medical report in the patient's historical medical reports; the operation instructions include selection instructions and target medical report citation instructions; historical medical reports include historical examination reports and / or historical test reports; the target medical report includes the target examination report and / or target test report.

[0159] Subsequently, the operation information of the storage operation instruction and other relevant information are stored; among which, other relevant information may be information of one or more data items in Table 1 above, or may be basic information of the patient, preset medical institution information, other medical institution information corresponding to the target medical report, etc., and this application does not limit this.

[0160] Finally, based on the stored operation instructions and other relevant information, a medical visit information table is generated. The operation information includes: the operation instructions and the target medical report.

[0161] In the above embodiments, if the operation instruction is a reference selection instruction, then the operation instruction for obtaining the target medical report from the patient's historical medical reports includes:

[0162] Retrieve the reference selection instruction for the target medical report from the patient's historical medical reports;

[0163] If the reference selection instruction indicates that the target medical report should be referenced, the operation information also includes: the reference level value of the target medical report;

[0164] If the reference selection instruction indicates that the target medical report should not be referenced, the operation information also includes: the reason for not referencing the target medical report;

[0165] In the above embodiments, after retrieving the patient's historical medical reports corresponding to the patient's identification information based on the patient's identification information, the method further includes:

[0166] The interface displays a first-view prompt for patients to review their historical medical reports.

[0167] If a viewing instruction is received based on the first viewing prompt, the historical medical reports will be displayed on the interface;

[0168] Retrieves the reference selection instruction for the target medical report from the patient's historical medical reports.

[0169] In the above embodiments, historical medical reports correspond to historical medical order information; if the reference selection instruction indicates that the target medical report should not be referenced, after obtaining the non-reference selection instruction for the target medical report in the patient's historical medical reports, the method further includes:

[0170] Obtain new medical order information and the patient's historical medical order information (or target medical order information in the historical medical order information; where the target medical order information is the medical order information corresponding to the target medical report); where the new medical order information is the information of the new medical orders issued by the attending physician for the patient's current visit;

[0171] Compare the new medical orders with the patient's historical medical orders (or target medical orders);

[0172] If the new medical order information is consistent with the patient's historical medical order information (or target medical order information), the interface for entering the reason for not referencing the new order will be displayed.

[0173] Reasons for not referencing historical medical order information (or target medical order information).

[0174] In the above embodiments, if no viewing instruction based on the viewing prompt information is obtained, new medical order information is obtained;

[0175] Compare the new medical orders with the patient's historical medical orders (or target medical orders);

[0176] If the new medical order information is consistent with the patient's historical medical order information (or target medical order information), a second query prompt information for the patient's historical medical order information (or target medical order information) will be displayed on the interface;

[0177] If a viewing instruction based on the second viewing prompt is received, the historical medical order information (or the target medical order information) will be displayed on the interface.

[0178] Retrieve the reference selection command for the target medical report corresponding to the patient's historical medical order information (or target medical order information).

[0179] In the above embodiments, if no viewing instruction based on the second viewing prompt information is obtained, the interface for inputting the reason for not viewing is displayed on the interface.

[0180] Reasons for not reviewing historical medical order information (or target medical order information).

[0181] The above are merely illustrative examples. In actual implementation, other methods may also be used, and this application does not limit them.

[0182] Optionally, based on the above embodiments, this application also provides a possible implementation method: after statistically analyzing the information corresponding to preset monitoring indicators in multiple report call record tables and generating analysis results for the preset monitoring indicators, the method further includes:

[0183] The analysis results of preset monitoring indicators are displayed in real time on the front-end interface.

[0184] In one possible implementation, after prompting the patient with relevant historical medical reports from other medical institutions (e.g., when pushing the most recent historical medical report to the patient), the service quality score of the institution that issued the report, as well as the report citation rate, number of medical malpractice disputes (the hospital that issued the report), and the discrepancy rate of the report's diagnostic results, can be displayed simultaneously.

[0185] Alternatively, the real-time service efficiency score of the receiving staff or the hospital can be displayed on the front-end interface, along with the review rate, mutual recognition rate, duplicate examination and testing rate, and the costs incurred by duplicate examinations and testing and the costs saved by mutual recognition of results in the economic benefit indicators.

[0186] Alternatively, the total service quality score, report citation rate, number of medical malpractice disputes (issued by the hospital), and number of discrepancies in report diagnostic results can be displayed on the front-end interface of the medical technology (examination and testing) workstation.

[0187] Alternatively, all indicators can be displayed and alerted in real time on the medical institution management terminal and the regional medical and health management terminal.

[0188] The above methods can be used to capture routine access to medical big data. However, the display methods are not limited to the above embodiments. Users can choose other display methods as needed.

[0189] Optionally, in the above Figure 1 Based on the embodiments, this application also provides a possible implementation method, which statistically analyzes the information corresponding to preset monitoring indicators in multiple report call record tables to generate analysis results for the preset monitoring indicators, including:

[0190] Non-critical value reports are filtered from multiple report call record tables; non-critical value reports are those that do not contain critical values.

[0191] Statistical analysis is performed on the information corresponding to the preset monitoring indicators in the selected non-critical value reports to generate analysis results for the preset monitoring indicators.

[0192] It should be noted that a critical value refers to an abnormal result in a certain type of examination or test, reaching a certain dangerous threshold. When a critical value appears, it indicates that the patient may be on the verge of death. Clinicians need to obtain the test information promptly and quickly provide effective intervention or treatment to potentially save the patient's life; otherwise, serious consequences may occur, and the best opportunity for rescue may be lost. Because historical examination and test reports containing critical values, such as historical medical reports (e.g., including historical medical report forms (as shown in Table 3) and historical test report collection forms (as shown in Table 4)), are subject to chance, extremes, and time-sensitive factors, they should not be directly cited in subsequent inter-institutional medical treatment. Specimens usually need to be collected and resubmitted for testing. Even if the attending physician cites such reports, they are not included in the statistical analysis of monitoring indicators in subsequent inter-institutional medical report retrieval monitoring.

[0193] Therefore, when monitoring cross-institutional medical report retrieval, reports with critical values ​​can be removed from multiple pre-defined medical institution report retrieval record tables, and the remaining non-critical value reports can be analyzed.

[0194] In addition, when displaying the first access prompt information of a patient's historical medical report through the interface, or when displaying historical medical reports on the interface, if the patient's historical medical report contains critical values, a critical value report prompt information (indicating that the historical medical report contains critical values) and / or a warning time for the critical values ​​can be displayed at the same time as the first access prompt information, thereby prompting the receiving staff that this historical medical report contains critical values ​​and that the receiving staff needs to determine whether it is appropriate to use it.

[0195] The following describes the cross-agency medical report retrieval monitoring device, electronic device, and storage medium used to implement the application provided in this application. The specific implementation process and technical effects are described above and will not be repeated below.

[0196] This application provides a possible implementation example of a cross-institutional medical report retrieval monitoring device, which can execute the cross-institutional medical report retrieval monitoring method provided in the above embodiments. Figure 5 This is a schematic diagram of a cross-agency medical report retrieval monitoring device provided as an embodiment of this application. Figure 5 As shown, the aforementioned cross-institutional medical report retrieval monitoring device 100 includes: an acquisition module 51 and an analysis module 53;

[0197] The acquisition module 51 is used to acquire multiple report call record tables of preset medical institutions. Each report call record table records: the call information of medical reports from other medical institutions during a visit to a preset medical institution;

[0198] Analysis module 53 is used to perform statistical analysis on the information corresponding to the preset monitoring indicators in multiple report call record tables, and generate analysis results for the preset monitoring indicators.

[0199] Optionally, the analysis module 53 is used to perform statistical analysis on the information corresponding to each monitoring indicator in each monitoring dimension in multiple report call record tables based on multiple monitoring dimensions, and generate analysis results for each monitoring dimension. The analysis results for each monitoring dimension include: analysis results of each monitoring indicator in each monitoring dimension.

[0200] The monitoring dimensions include at least two of the following: service efficiency, service quality, economic benefits, and reasons for not calling the report.

[0201] Optionally, the aforementioned cross-agency medical report retrieval monitoring device 100 also includes: an output module;

[0202] If multiple monitoring dimensions include: service efficiency dimension, the output module is used to output a first early warning message for the preset medical institution if the analysis result of the first preset monitoring indicator in the service efficiency dimension indicates that the service efficiency of the preset medical institution does not meet the first preset condition.

[0203] Optionally, if multiple monitoring dimensions include: service quality dimension, the output module is used to output a second early warning message for the preset medical institution if the analysis result of the second preset monitoring indicator in the service quality dimension indicates that the service quality of the preset medical institution does not meet the second preset condition.

[0204] Alternatively, if the analysis results of the third preset monitoring indicator in the service quality dimension indicate that the service quality of the cited medical institution does not meet the third preset condition, then a third warning message will be output for the cited medical institution; where the cited medical institution is the medical institution whose medical report is cited by the preset medical institution.

[0205] Optionally, if multiple monitoring dimensions include an economic benefit dimension, the analysis module 53 is used to perform statistical analysis on the information corresponding to each monitoring indicator in multiple report call record tables based on the economic benefit dimension, and generate analysis results for the economic benefit dimension.

[0206] Optionally, the analysis module 53 is used to perform statistical analysis on the information corresponding to each monitoring indicator in each analysis dimension of the multiple report call record table according to at least one analysis dimension in each monitoring dimension, and generate the analysis results of each monitoring dimension. The analysis results of each monitoring dimension include: the statistical analysis results of at least one analysis dimension, and the statistical analysis results of each analysis dimension include: the statistical analysis results of each monitoring indicator in each analysis dimension.

[0207] At least one of the following analytical dimensions is required: medical institution dimension, patient dimension, time interval dimension, medical report dimension, diagnosis and treatment behavior dimension, and medical cost dimension.

[0208] Optionally, the aforementioned cross-agency medical report retrieval monitoring device 100 also includes: an information acquisition module and an integration module;

[0209] The information acquisition module is used to acquire a patient's current medical visit information table and a patient's historical report information table during a single visit at a pre-defined medical institution.

[0210] The integration module is used to integrate the information table for this visit and the information table for historical reports to generate a report call record table.

[0211] Optionally, the aforementioned cross-agency medical report retrieval monitoring device 100 further includes: a monitoring module and a generation module;

[0212] The monitoring module is used to match a target historical medical report from another medical institution related to a patient if the patient's historical medical record is detected to be retrieved in a preset medical institution.

[0213] The generation module is used to generate a current medical visit information table based on the access history of a patient's medical records to a target patient in a preset medical institution.

[0214] Optionally, the cross-agency medical report retrieval monitoring device 100 also includes: a screening module;

[0215] The filtering module is used to filter out non-critical value reports from multiple report call record tables; where non-critical value reports are reports that do not contain critical values.

[0216] Analysis module 53 is used to perform statistical analysis on the information corresponding to the preset monitoring indicators in the selected non-critical value reports, and generate analysis results for the preset monitoring indicators.

[0217] The above-described device is used to execute the method provided in the foregoing embodiments, and its implementation principle and technical effect are similar, so they will not be described again here.

[0218] These modules can be one or more integrated circuits configured to implement the above methods, such as one or more Application Specific Integrated Circuits (ASICs), one or more digital signal processors (DSPs), or one or more Field Programmable Gate Arrays (FPGAs). Alternatively, when a module is implemented using processing element scheduler code, the processing element can be a general-purpose processor, such as a Central Processing Unit (CPU) or other processor capable of calling program code. Furthermore, these modules can be integrated together as a system-on-a-chip (SOC).

[0219] This application provides a possible implementation example of an electronic device capable of executing the cross-agency medical report retrieval monitoring method provided in the above embodiments. Figure 6 This is a schematic diagram of an electronic device provided in an embodiment of this application. The electronic device can be integrated into a terminal device or a chip of a terminal device. The terminal can be a computing device with data processing capabilities.

[0220] The electronic device includes a processor 601, a storage medium 602, and a bus. The storage medium stores program instructions executable by the processor. When the electronic device is running, the processor communicates with the storage medium via the bus, and the processor executes the program instructions to perform the steps of the aforementioned cross-agency medical report retrieval monitoring method. The specific implementation and technical effects are similar and will not be described in detail here.

[0221] This application provides a possible implementation example of a computer-readable storage medium capable of executing the cross-agency medical report retrieval monitoring method provided in the above embodiments. The storage medium stores a computer program, which, when run by a processor, executes the steps of the cross-agency medical report retrieval monitoring method.

[0222] A computer program stored in a storage medium may include several instructions to cause a computer device (which may be a personal computer, server, or network device, etc.) or processor to execute some steps of the methods of the various embodiments of the present invention. The aforementioned storage medium includes various media capable of storing program code, such as USB flash drives, portable hard drives, read-only memory (ROM), random access memory (RAM), magnetic disks, or optical disks.

[0223] In the several embodiments provided by this invention, it should be understood that the disclosed apparatus and methods can be implemented in other ways. For example, the apparatus embodiments described above are merely illustrative; for instance, the division of units is only a logical functional division, and in actual implementation, there may be other division methods. For example, multiple units or components may be combined or integrated into another system, or some features may be ignored or not executed. Furthermore, the coupling or direct coupling or communication connection shown or discussed may be through some interfaces; the indirect coupling or communication connection between apparatuses or units may be electrical, mechanical, or other forms.

[0224] The units described as separate components may or may not be physically separate. The components shown as units may or may not be physical units; that is, they may be located in one place or distributed across multiple network units. Some or all of the units can be selected to achieve the purpose of this embodiment according to actual needs.

[0225] Furthermore, the functional units in the various embodiments of the present invention can be integrated into one processing unit, or each unit can exist physically separately, or two or more units can be integrated into one unit. The integrated unit can be implemented in hardware or in the form of hardware plus software functional units.

[0226] The integrated units implemented as software functional units described above can be stored in a computer-readable storage medium. These software functional units, stored in a storage medium, include several instructions to cause a computer device (which may be a personal computer, server, or network device, etc.) or processor to execute partial steps of the methods of the various embodiments of the present invention. The aforementioned storage medium includes various media capable of storing program code, such as USB flash drives, portable hard drives, read-only memory (ROM), random access memory (RAM), magnetic disks, or optical disks.

[0227] The above are merely specific embodiments of this application, but the scope of protection of this application is not limited thereto. Any variations or substitutions that can be easily conceived by those skilled in the art within the scope of the technology disclosed in this application should be included within the scope of protection of this application. Therefore, the scope of protection of this application should be determined by the scope of the claims.

Claims

1. A cross-institutional method for monitoring the retrieval of medical reports, characterized in that, include: If the historical medical records of a patient in a preset medical institution are detected to be retrieved, then the target historical medical reports of other medical institutions related to that patient are matched. Based on the access information of the patient's corresponding medical staff in the preset medical institution to the target historical medical report, generate a current visit access information table; Obtain the historical report information table of the aforementioned patient; The current medical visit information table and the historical report information table are integrated to generate a report call record table; Obtain multiple report retrieval record tables of the preset medical institutions, each of the report retrieval record tables recording: retrieval information of medical reports from other medical institutions during a single visit to the preset medical institution; Statistical analysis is performed on the information corresponding to the preset monitoring indicators in multiple report call record tables to generate analysis results for the preset monitoring indicators; The step of statistically analyzing the information corresponding to preset monitoring indicators in multiple report call record tables to generate analysis results for the preset monitoring indicators includes: Based on multiple monitoring dimensions, statistical analysis is performed on the information corresponding to each monitoring indicator in each monitoring dimension in the multiple report call record tables to generate analysis results for each monitoring dimension. The analysis results for each monitoring dimension include: the analysis results of each monitoring indicator in each monitoring dimension. The monitoring dimensions include at least two of the following: service efficiency, service quality, economic benefits, and reasons for not calling the report. The step of statistically analyzing the information corresponding to the preset monitoring indicators in multiple report call record tables to generate the analysis results of the preset monitoring indicators also includes: Non-critical value reports are selected from multiple report call record tables; wherein, the non-critical value reports are reports that do not contain critical values. Statistical analysis is performed on the information corresponding to the preset monitoring indicators in the selected non-critical value reports to generate the analysis results of the preset monitoring indicators.

2. The method as described in claim 1, characterized in that, If the multiple monitoring dimensions include the service efficiency dimension, the method further includes: If the analysis result of the first preset monitoring indicator in the service efficiency dimension indicates that the service efficiency of the preset medical institution does not meet the first preset condition, then the first early warning message for the preset medical institution will be output.

3. The method as described in claim 1, characterized in that, If the plurality of monitoring dimensions includes the service quality dimension, the method further includes: If the analysis results of the second preset monitoring indicator in the service quality dimension indicate that the service quality of the preset medical institution does not meet the second preset condition, then a second early warning message will be output for the preset medical institution; or, If the analysis results of the third preset monitoring indicator in the service quality dimension indicate that the service quality of the cited medical institution does not meet the third preset condition, then a third early warning message will be output for the cited medical institution; wherein, the cited medical institution is the medical institution whose medical report is cited by the preset medical institution.

4. The method as described in claim 1, characterized in that, If the multiple monitoring dimensions include the economic benefit dimension, the step of statistically analyzing the information corresponding to each monitoring indicator in each monitoring dimension of the multiple report call record tables based on the multiple monitoring dimensions, and generating the analysis results for each monitoring dimension, includes: Statistical analysis is performed on the information corresponding to each monitoring indicator of the economic benefit dimension in the multiple report call record tables to generate the analysis results of the economic benefit dimension.

5. The method according to any one of claims 1-4, characterized in that, The step involves statistically analyzing the information corresponding to each monitoring indicator in each of the multiple monitoring dimensions in the multiple report call record tables, generating analysis results for each monitoring dimension, including: Based on at least one analysis dimension in each of the monitoring dimensions, statistical analysis is performed on the information corresponding to each monitoring indicator in each analysis dimension in the multiple report call record tables to generate analysis results for each of the monitoring dimensions. The analysis results for each of the monitoring dimensions include: statistical analysis results of at least one of the analysis dimensions. The statistical analysis results for each of the analysis dimensions include: statistical analysis results of each monitoring indicator in each of the analysis dimensions. The at least one analysis dimension includes at least one of the following: medical institution dimension, patient dimension, time interval dimension, medical report dimension, diagnosis and treatment behavior dimension, and medical cost dimension.

6. A cross-institutional medical report retrieval monitoring device, characterized in that, include: Acquisition module, analysis module, information acquisition module, integration module, monitoring module, generation module, and filtering module; The monitoring module is used to match target historical medical reports from other medical institutions related to a patient if the historical medical records of a patient in a preset medical institution are retrieved. The generation module is used to generate a current visit call information table based on the call information of the target historical medical report by the receiving staff corresponding to a visitor in the preset medical institution. The information acquisition module is used to acquire the historical report information table of the patient. The integration module is used to integrate the current medical visit information table and the historical report information table to generate a report call record table; The acquisition module is used to acquire multiple report retrieval record tables of the preset medical institution, and each report retrieval record table records: retrieval information of medical reports from other medical institutions during a visit to the preset medical institution; The analysis module is used to perform statistical analysis on the information corresponding to the preset monitoring indicators in the multiple report call record tables, and generate the analysis results of the preset monitoring indicators; Specifically, it is used to perform statistical analysis on the information corresponding to each monitoring indicator in each monitoring dimension of multiple monitoring dimensions in multiple report call record tables, and generate analysis results for each monitoring dimension. The analysis results for each monitoring dimension include: the analysis results of each monitoring indicator in each monitoring dimension; the multiple monitoring dimensions include at least two dimensions from the following: service efficiency dimension, service quality dimension, economic benefit dimension, and reason for not calling report dimension. The filtering module is used to filter out non-critical value reports from multiple report call record tables; wherein, the non-critical value reports are report call record tables that do not contain critical values; The analysis module is specifically used to perform statistical analysis on the information corresponding to the preset monitoring indicators in the selected non-critical value reports, and generate the analysis results of the preset monitoring indicators.

7. An electronic device, characterized in that, include: The device includes a processor, a storage medium, and a bus, wherein the storage medium stores program instructions executable by the processor, and when the electronic device is running, the processor communicates with the storage medium via the bus, and the processor executes the program instructions to perform the steps of the cross-agency medical report retrieval monitoring method as described in any one of claims 1 to 5.

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