A department operation performance data real-time display and target dynamic benchmarking method and device

Abstract

A kind of department operational performance data real-time display and target dynamic benchmarking method and device belong to hospital management information technology field, to solve department operational performance data display lag, target adjustment after benchmarking state update not timely and early warning index detailed positioning efficiency low problem, the present application is by periodically obtaining department operational raw data, generates department operational index data, multi-benchmarking result, dashboard display data and early warning judgment result, and after receiving adjusted target value, corresponding benchmarking, early warning and display data are regenerated, can improve the continuity of department operational index display, target dynamic benchmarking and detailed data query, it is suitable for hospital department operational performance data display, target benchmarking, index early warning and detailed query etc. field.

Description

Technical Field

[0001] This invention belongs to the field of hospital management information technology, specifically involving a technology for real-time collection, visualization, dynamic target benchmarking, and early warning drill-down processing of departmental operational performance data. Background Technology

[0002] In existing technologies, hospital department operational performance management typically relies on periodic statistical reports or manually compiled spreadsheets, with relevant data often generated monthly or at fixed intervals. While this method can reflect the department's operational status within a certain statistical period, the data formation time is delayed, making it difficult for department heads or management departments to promptly grasp core operational statuses such as average length of stay, profitability, and quality indicators, and making it impossible to identify and pinpoint abnormal indicators as soon as they appear.

[0003] As hospitals become increasingly information-based, their information systems, cost systems, medical record systems, and other business systems have accumulated a large amount of business data related to departmental operations. While existing technologies utilize business intelligence software for data visualization, general-purpose business intelligence software typically requires complex data modeling and page configuration, and its display logic mainly revolves around general reports, charts, and statistical analysis. This makes it difficult to directly adapt to the multi-benchmarking requirements of hospital departmental performance management, such as target values, hospital-wide best values, and DRG group medians.

[0004] Furthermore, departmental operational indicators exhibit significant directional differences. For example, some indicators are positive indicators where higher is better, while others are negative indicators where lower is better, and still others need to be maintained within target ranges. Using only a uniform threshold for judgment can easily lead to inaccurate early warning judgment logic. Simultaneously, target values ​​may be dynamically adjusted during the management process according to assessment requirements or operational goals. Existing display methods often struggle to simultaneously recalculate deviations, re-judge early warnings, and redraw dashboards after target value adjustments, resulting in inconsistencies between the displayed status and the actual benchmarked targets. Summary of the Invention

[0005] To address the problems of outdated display of departmental operational performance data, untimely updates to benchmarking status after target adjustments, and low efficiency in locating abnormal indicators in existing technologies, this invention proposes the following solution: To address the problems of outdated display of departmental operational performance data, untimely updates to benchmarking status after target adjustments, and low efficiency in locating detailed early warning indicators in existing technologies, this invention proposes the following solution: A method for real-time display of departmental operational performance data and dynamic target benchmarking, the method comprising: S1. Obtain raw departmental operation data from the hospital's business system according to the preset collection cycle; S2. Based on the preset indicator configuration relationship, the original department operation data is converted into department operation indicator data, which includes the current indicator value and indicator direction attribute of multiple department operation indicators; S3. Obtain benchmark data corresponding to the departmental operation indicator data, wherein the benchmark data includes target value, hospital best value and DRG group median; S4. Associate the current value, target value, hospital-wide best value, and DRG group median of the same department's operational indicators to generate multi-benchmark comparison results; S5. Generate dashboard-style display data of corresponding departmental operation indicators based on the multi-benchmark benchmarking results; S6. Determine the method for calculating the deviation between the current indicator value and the target value based on the indicator direction attribute, and generate an early warning judgment result based on the calculated deviation; When the deviation meets the preset early warning conditions, an early warning display status for the corresponding department's operational indicators is generated; When the deviation does not meet the preset warning conditions, the corresponding department's operational indicators will be displayed in their normal state. S7. Respond to the triggered operation for the department operation indicators that are in the warning display state, determine the detailed query conditions according to the preset drill-down dimension corresponding to the department operation indicators, and generate detailed ranking data or distribution data based on the original department operation data or the department operation indicator data. S8. Receive the adjusted target value, update the target value of the corresponding department's operational indicators according to the adjusted target value, and regenerate the corresponding multi-benchmark comparison results, early warning judgment results, and dashboard display data based on the updated target value.

[0006] Furthermore, the hospital business system described in S1 includes a hospital information system, a cost system, and a medical record system. The original data for departmental operations includes departmental identifiers, time identifiers, and business field data, and the data is aligned based on the departmental identifiers and the time identifiers.

[0007] Furthermore, the preset indicator configuration relationship described in S2 includes indicator identifier, indicator category, data source field, indicator calculation rule, indicator direction attribute, and display area. The indicator category includes efficiency indicators, benefit indicators, and quality indicators.

[0008] Furthermore, the benchmark data mentioned in S3 is obtained based on the indicator identifier and department identifier corresponding to the department's operational indicators, and includes benchmark type and benchmark value. The benchmark type includes the hospital's best value, the median of the DRG group, and the target value.

[0009] Furthermore, the dashboard-style data display in S5 includes an indicator display unit, a current value indicator marker, a target value scale marker, a hospital's optimal value scale marker, and a DRG group median scale marker, and is assigned to the corresponding indicator display partition according to the display area.

[0010] Furthermore, the directional attributes of the indicator described in S6 include positive attributes, negative attributes, or interval attributes; When it is a positive attribute, the deviation is calculated based on the difference between the current indicator value and the target value. When it is a reverse attribute, the deviation is calculated based on the difference between the current indicator value and the target value. When the attribute is an interval, the deviation is calculated based on the difference between the current indicator value and the boundary of the target interval.

[0011] Furthermore, the preset drill-down dimension described in S7 is bound to the indicator identifier of the department's operational indicators. After receiving a trigger operation for a department's operational indicator that is in an early warning display state, the drill-down dimension and detailed query conditions are determined according to the indicator identifier, and detailed ranking data or distribution data is generated.

[0012] Furthermore, S8 receives the adjusted target value, updates the target value of the corresponding department's operational indicators based on the adjusted target value, and simultaneously updates the target value scale markers, early warning display status, and dashboard display data.

[0013] Based on the same inventive concept, this invention also proposes a device for real-time display of departmental operational performance data and dynamic target benchmarking. The device is used to implement the above method and includes a data acquisition gateway, a performance dashboard terminal, and a target management terminal. The data acquisition gateway is connected to the hospital information system, cost system and medical record system respectively, and is used to acquire raw departmental operation data and send it to the performance dashboard terminal. The performance dashboard terminal includes a benchmarking analysis processor and a touch screen. The benchmarking analysis processor includes an indicator conversion module, a benchmark acquisition module, a benchmarking result generation module, an early warning status generation module, a drill-down data generation module, and a target adjustment and update module. The target management terminal is used to send the adjusted target value to the target adjustment and update module, so that the performance dashboard terminal updates the multi-benchmarking results, early warning judgment results and dashboard display data based on the updated target value.

[0014] Furthermore, the touch screen includes an indicator display area and a drill-down display area. The indicator display area is used to display the current indicator value, target value, the institute's best value, and the median of the DRG group. The drill-down display area is used to display the detailed ranking data or distribution data generated by the drill-down data generation module.

[0015] Compared with the prior art, the present invention has the following beneficial effects: By acquiring raw departmental operation data from the hospital's business system according to a preset collection cycle, the departmental operation data can be updated periodically based on the hospital's business system, thereby reducing the data display lag caused by relying on periodic statistical reports.

[0016] By converting raw departmental operation data into departmental operation indicator data according to preset indicator configuration relationships, business field data from different sources can generate corresponding current indicator values ​​according to indicator identifiers, indicator categories, data source fields, and indicator calculation rules, thereby improving the consistency of the departmental operation indicator generation process.

[0017] By acquiring benchmark data including target values, the hospital's best values, and the median of the DRG group, and linking the current indicator values, target values, the hospital's best values, and the median of the DRG group for the same department's operational indicators, the department's operational indicators can form multi-benchmark benchmarking results, thereby improving the clarity of the correspondence between the current state of the department's operational indicators and multiple benchmarks.

[0018] By generating dashboard-style display data of corresponding departmental operation indicators based on the results of multi-benchmark comparison, the current indicator value, target value, hospital's best value and DRG group median can be centrally presented in the corresponding indicator display unit, thereby improving the intuitiveness of the benchmark display of departmental operation indicators.

[0019] By setting directional attributes in departmental operational indicator data and determining the deviation calculation method between the current indicator value and the target value based on positive, negative, or interval attributes, departmental operational indicators of different directional types can generate early warning judgment results according to corresponding rules, thereby improving the matching between early warning judgment results and indicator attributes.

[0020] By generating an early warning display status when the deviation meets the preset early warning conditions, and maintaining the normal display status when the deviation does not meet the preset early warning conditions, the department's operational indicators can switch the corresponding display status according to the deviation judgment results, thereby improving the accuracy of the indicator early warning display status.

[0021] By responding to triggered operations on departmental operational indicators that are in an early warning display state, and determining detailed query conditions based on preset drill-down dimensions, the early warning indicators can be associated with corresponding detailed ranking data or distribution data, thereby improving the efficiency of locating detailed data corresponding to abnormal indicators.

[0022] By receiving the adjusted target values ​​and updating the target values ​​of the corresponding departmental operational indicators, and then regenerating the multi-benchmarking results, early warning judgment results, and dashboard-style display data based on the updated target values, the benchmarking results, early warning status, and display data after the target value adjustment can be updated synchronously, thereby reducing the problem of inconsistency between the display status after the target adjustment and the actual benchmarking target.

[0023] By setting up a data acquisition gateway, performance dashboard terminal, and target management terminal, and by installing a benchmarking analysis processor and a touch screen in the performance dashboard terminal, the corresponding devices can collaboratively complete the collection of raw departmental operational data, indicator conversion, multi-benchmark benchmarking, early warning judgment, target update, and display output, thereby improving the completeness of the device implementation for real-time display of departmental operational performance data and dynamic target benchmarking.

[0024] This invention has the ability to periodically collect departmental operational performance data, display multiple benchmarks, make directional early warning judgments based on indicators, dynamically update and link targets, and drill down to query early warning indicators. It can realize real-time display of departmental operational indicators, dynamic target benchmarking, early warning status updates, and detailed data queries. It is applicable to fields such as displaying hospital departmental operational performance data, target benchmarking, indicator early warning, and detailed queries. Attached Figure Description

[0025] Figure 1 This is a flowchart illustrating the method for real-time display of departmental operational performance data and dynamic target benchmarking as described in the implementation method; Figure 2 This is a schematic diagram of the device hardware connection and deployment described in the implementation method; Figure 3 This is a layout diagram of the performance dashboard terminal display interface as described in the implementation method; Figure 4 This is a schematic diagram of the target management terminal operation interface described in the implementation method. Detailed Implementation

[0026] The technical solutions in the embodiments of the present invention will now be clearly and completely described in conjunction with the accompanying drawings.

[0027] Implementation Method 1 like Figure 1 As shown, a method for real-time display of departmental operational performance data and dynamic target benchmarking is provided, the method comprising: S1. Obtain raw departmental operation data from the hospital's business system according to the preset collection cycle; S2. Based on the preset indicator configuration relationship, the original department operation data is converted into department operation indicator data, which includes the current indicator value and indicator direction attribute of multiple department operation indicators; S3. Obtain benchmark data corresponding to the departmental operation indicator data, wherein the benchmark data includes target value, hospital best value and DRG group median; S4. Associate the current value, target value, hospital-wide best value, and DRG group median of the same department's operational indicators to generate multi-benchmark comparison results; S5. Generate dashboard-style display data of corresponding departmental operation indicators based on the multi-benchmark benchmarking results; S6. Determine the method for calculating the deviation between the current indicator value and the target value based on the indicator direction attribute, and generate an early warning judgment result based on the calculated deviation; When the deviation meets the preset early warning conditions, an early warning display status for the corresponding department's operational indicators is generated; When the deviation does not meet the preset warning conditions, the corresponding department's operational indicators will be displayed in their normal state. S7. Respond to the triggered operation for the department operation indicators that are in the warning display state, determine the detailed query conditions according to the preset drill-down dimension corresponding to the department operation indicators, and generate detailed ranking data or distribution data based on the original department operation data or the department operation indicator data. S8. Receive the adjusted target value, update the target value of the corresponding department's operational indicators according to the adjusted target value, and regenerate the corresponding multi-benchmark comparison results, early warning judgment results, and dashboard display data based on the updated target value.

[0028] Through the above steps, the raw data of departmental operations can be sequentially transformed into departmental operation indicator data, multi-benchmarking results, dashboard-style display data, and early warning judgment results. After the target value is adjusted, the corresponding data will be regenerated, thereby improving the completeness of the real-time display of departmental operation performance data and the dynamic benchmarking process.

[0029] Furthermore, the hospital business system described in S1 includes a hospital information system, a cost system, and a medical record system. The original data for departmental operations includes departmental identifiers, time identifiers, and business field data, and the data is aligned based on the departmental identifiers and the time identifiers.

[0030] By aligning data from the hospital information system, cost system, and medical record system based on department and time identifiers, raw departmental operational data from different sources can be categorized into the corresponding statistical time windows, thereby improving the consistency of data used for subsequent indicator conversions.

[0031] Furthermore, the preset indicator configuration relationship described in S2 includes indicator identifier, indicator category, data source field, indicator calculation rule, indicator direction attribute, and display area. The indicator category includes efficiency indicators, benefit indicators, and quality indicators.

[0032] By setting preset indicator configuration relationships, including indicator identifiers, indicator categories, data source fields, indicator calculation rules, indicator direction attributes, and display areas, the raw data of departmental operations can be converted into corresponding departmental operation indicator data according to a unified configuration relationship, thereby improving the standardization of the departmental operation indicator generation process.

[0033] Furthermore, the benchmark data mentioned in S3 is obtained based on the indicator identifier and department identifier corresponding to the department's operational indicators, and includes benchmark type and benchmark value. The benchmark type includes the hospital's best value, the median of the DRG group, and the target value.

[0034] By obtaining benchmark data based on the indicator identifiers and department identifiers corresponding to the department's operational indicators, the same department's operational indicators can be used to generate benchmarking relationships with the hospital's best value, DRG group median, and target value, thereby improving the completeness of the benchmarking data for departmental operational indicators.

[0035] Furthermore, the dashboard-style data display in S5 includes an indicator display unit, a current value indicator marker, a target value scale marker, a hospital's optimal value scale marker, and a DRG group median scale marker, and is assigned to the corresponding indicator display partition according to the display area.

[0036] By setting up indicator display units, current value indicator markers, and multiple benchmark scale markers in the dashboard-style data display, the current indicator value, target value, hospital's best value, and DRG group median can be centrally presented in the corresponding indicator display area, thereby improving the intuitiveness of the benchmarking display of departmental operation indicators.

[0037] Furthermore, the directional attributes of the indicator described in S6 include positive attributes, negative attributes, or interval attributes; When it is a positive attribute, the deviation is calculated based on the difference between the current indicator value and the target value. When it is a reverse attribute, the deviation is calculated based on the difference between the current indicator value and the target value. When the attribute is an interval, the deviation is calculated based on the difference between the current indicator value and the boundary of the target interval.

[0038] By determining the deviation calculation method between the current indicator value and the target value based on positive attributes, negative attributes, or interval attributes, departmental operation indicators of different directions can generate early warning judgment results according to corresponding rules, thereby improving the matching between the early warning judgment process and indicator attributes.

[0039] Furthermore, the preset drill-down dimension described in S7 is bound to the indicator identifier of the department's operational indicators. After receiving a trigger operation for a department's operational indicator that is in an early warning display state, the drill-down dimension and detailed query conditions are determined according to the indicator identifier, and detailed ranking data or distribution data is generated.

[0040] By binding the preset drill-down dimensions with the indicator identifiers of departmental operation indicators, and determining the corresponding drill-down dimensions and detailed query conditions after the early warning indicator is triggered, the early warning indicator can be associated with detailed ranking data or distribution data, thereby improving the location efficiency of the detailed data corresponding to the early warning indicator.

[0041] Furthermore, S8 receives the adjusted target value, updates the target value of the corresponding department's operational indicators based on the adjusted target value, and simultaneously updates the target value scale markers, early warning display status, and dashboard display data.

[0042] By receiving adjusted target values ​​and updating the target values ​​of corresponding departmental operational indicators, the target value scale markers, early warning display status, and dashboard-style data can change synchronously with the updated target values, thereby improving the data linkage of the dynamic target benchmarking process.

[0043] Based on the same inventive concept, this embodiment also proposes a device for real-time display of departmental operational performance data and dynamic target benchmarking. The device is used to implement the above method and includes a data acquisition gateway 1, a performance dashboard terminal 2, and a target management terminal 3. The data acquisition gateway 1 is communicatively connected to the hospital information system 41, the cost system 42, and the medical record system 43, respectively, and is used to acquire raw departmental operational data and send it to the performance dashboard terminal 2. The performance dashboard terminal 2 includes a benchmarking analysis processor 21 and a touch screen display 23. The benchmarking analysis processor 21 includes an indicator conversion module 211, a benchmark acquisition module 212, a benchmarking result generation module 213, an early warning status generation module 214, a drill-down data generation module 215, and a target adjustment and update module 216. The target management terminal 3 is used to send adjusted target values ​​to the target adjustment and update module 216, enabling the performance dashboard terminal 2 to update multi-benchmark benchmarking results, early warning judgment results, and dashboard-style display data based on the updated target values.

[0044] By setting up a data acquisition gateway 1, a performance dashboard terminal 2, and a target management terminal 3, and by setting up a benchmarking analysis processor 21 and a touch screen 23 in the performance dashboard terminal 2, the corresponding devices can collaboratively complete the collection of raw departmental operation data, indicator conversion, multi-benchmark benchmarking, early warning judgment, target value update, and display output, thereby improving the completeness of the device implementation for real-time display of departmental operation performance data and dynamic target benchmarking.

[0045] Furthermore, the touch screen 23 includes an indicator display area and a drill-down display area. The indicator display area is used to display the current indicator value, target value, the best value of the institute, and the median of the DRG group. The drill-down display area is used to display the detailed ranking data or breakdown data generated by the drill-down data generation module 215. By setting up an indicator display area and a drill-down display area in the touch screen 23, the detailed ranking data or distribution data corresponding to the multi-benchmark benchmarking results and early warning indicators can be displayed separately in the performance dashboard terminal, thereby improving the connection between the display of early warning indicators and the query of detailed data.

[0046] Implementation Method 2 This implementation method combines Figures 1 to 4 This document describes the specific implementation process of a method and device for real-time display and dynamic target benchmarking of departmental operational performance data. This implementation method is used to periodically acquire, convert, benchmark against multiple standards, issue early warnings, perform drill-down queries, and dynamically update target values ​​of raw departmental operational data from the hospital's business system during the display of hospital departmental operational performance data.

[0047] like Figure 1 As shown, the method described in this embodiment includes acquiring raw departmental operation data, converting departmental operation indicator data, acquiring benchmark data, generating multi-benchmark benchmarking results, generating dashboard-style display data, generating early warning judgment results, generating detailed ranking data or distribution data, and processing linked updates after target value adjustment.

[0048] During the acquisition of raw departmental operation data, raw departmental operation data is obtained from the hospital's business systems according to a preset collection cycle. The hospital's business systems include the hospital information system (41), cost system (42), and medical record system (43). The raw departmental operation data includes departmental identifiers, time identifiers, and business field data. Departmental identifiers are used to distinguish different departments, time identifiers are used to determine the statistical time window, and business field data is used to subsequently generate departmental operation indicator data.

[0049] After acquiring the raw departmental operation data, the raw departmental operation data from Hospital Information System 41, Cost System 42, and Medical Record System 43 are aligned based on departmental and time identifiers. This ensures that business field data from the same department within the same statistical time window can be aggregated into the same processing object. Through this process, data from different hospital business systems can be used to generate unified departmental operation indicator data in the future.

[0050] During the data conversion of departmental operation indicators, the preset indicator configuration relationships are read. These relationships include indicator identifiers, indicator categories, data source fields, indicator calculation rules, indicator direction attributes, and display areas. Indicator categories include efficiency indicators, effectiveness indicators, and quality indicators. Based on the data source fields, the corresponding business field data is extracted from the original departmental operation data, and the current indicator values ​​for the corresponding departmental operation indicators are generated according to the indicator calculation rules.

[0051] The indicator directional attributes include positive, negative, or interval attributes. Positive attributes indicate indicators where a deviation judgment is needed when the current indicator value is lower than the target value; negative attributes indicate indicators where a deviation judgment is needed when the current indicator value is higher than the target value; and interval attributes indicate indicators where a deviation judgment is needed when the current indicator value exceeds the target interval boundary. The display area is used to determine the display partition of the corresponding department's operational indicators in the performance dashboard terminal 2.

[0052] During the benchmarking data acquisition process, benchmark data corresponding to the indicator identifier and department identifier in the departmental operation indicator data is obtained. Benchmark data includes benchmark type and benchmark value. Benchmark types include the hospital's best value, the median of the DRG group, and the target value. Therefore, each departmental operation indicator can establish a benchmarking relationship between its current indicator value, the hospital's best value, the median of the DRG group, and the target value.

[0053] In the process of generating multi-benchmarking results, the current value, target value, hospital-wide best value, and DRG group median of the same department's operational indicators are correlated to generate multi-benchmarking results. These results reflect the correspondence between the current indicator value and the target value, the current indicator value and the hospital-wide best value, and the current indicator value and the DRG group median. These multi-benchmarking results are then used to generate dashboard-style data displays.

[0054] During the dashboard-style data generation process, dashboard-style display data for corresponding departmental operational indicators is generated based on multi-benchmarking results. The dashboard-style display data includes indicator display units, current value indicators, target value scales, hospital-wide best value scales, and DRG group median scales. The current value indicator displays the current value of the departmental operational indicator, the target value scale displays the target value, the hospital-wide best value scale displays the hospital's best value, and the DRG group median scale displays the DRG group median.

[0055] Based on the display area in the preset indicator configuration relationship, the indicator display units are assigned to the corresponding indicator display partitions. The indicator display partitions are used to display efficiency indicators, effectiveness indicators, and quality indicators respectively, so that different categories of departmental operation indicators can be presented in the same performance dashboard terminal 2.

[0056] During the early warning judgment result generation process, the deviation calculation method between the current indicator value and the target value is determined based on the indicator's directional attribute. When the indicator's directional attribute is positive, the deviation is calculated as the difference between the current indicator value and the target value; when the indicator's directional attribute is negative, the deviation is calculated as the difference between the current indicator value and the target value; when the indicator's directional attribute is an interval attribute, the deviation is calculated as the difference between the current indicator value and the target interval boundary. The early warning judgment result is generated based on the calculated deviation.

[0057] When a deviation meets preset warning conditions, a warning display status is generated for the corresponding department's operational indicators; when a deviation does not meet preset warning conditions, the normal display status of the corresponding department's operational indicators is maintained. The warning display status is used to identify departmental operational indicators in an abnormal state within the dashboard-style data display. Indicator display units in the warning display status are presented through background changes and dynamic prompts, enabling the corresponding departmental operational indicators to be distinguished and displayed on the performance dashboard terminal 2.

[0058] During the generation of detailed ranking or distribution data, the drill-down dimensions are pre-defined and bound to the indicator identifiers of departmental operation metrics. When a trigger operation is received for a departmental operation metric in an alert display state, the drill-down dimension and detailed query conditions are determined based on the indicator identifier, and detailed ranking or distribution data is generated based on the original departmental operation data or departmental operation indicator data. Thus, the alert metric can be further linked to the corresponding detailed data.

[0059] During the dynamic updating of target values, the system receives adjusted target values. Based on these adjusted values, it updates the target values ​​for the corresponding departmental operational indicators. After the target values ​​are updated, it regenerates the corresponding multi-benchmarking results, early warning judgment results, and dashboard-style display data, and simultaneously updates the target value scale markers, early warning display status, and dashboard-style display data.

[0060] like Figure 2 As shown, the device described in this embodiment includes a data acquisition gateway 1, a performance dashboard terminal 2, and a target management terminal 3. The data acquisition gateway 1 is communicatively connected to the hospital information system 41, the cost system 42, and the medical record system 43, respectively, and is used to acquire raw departmental operational data and send it to the performance dashboard terminal 2. The performance dashboard terminal 2 includes a benchmarking analysis processor 21 and a touch screen display 23. The target management terminal 3 is used to send adjusted target values ​​to the target adjustment and update module 216, enabling the performance dashboard terminal 2 to update multi-benchmarking results, early warning judgment results, and dashboard-style display data based on the updated target values.

[0061] Data acquisition gateway 1 retrieves raw departmental operation data from hospital information system 41, cost system 42, and medical record system 43 according to a preset collection cycle. The raw departmental operation data retrieved by data acquisition gateway 1 includes department identifiers, time identifiers, and business field data. Data acquisition gateway 1 sends the retrieved raw departmental operation data to performance dashboard terminal 2, which performs indicator conversion, benchmarking analysis, early warning judgment, and display processing.

[0062] The benchmarking analysis processor 21 in the performance dashboard terminal 2 includes an indicator conversion module 211, a benchmark acquisition module 212, a benchmarking result generation module 213, an early warning status generation module 214, a drill-down data generation module 215, and a target adjustment and update module 216. The indicator conversion module 211 converts raw departmental operation data into departmental operation indicator data according to preset indicator configuration relationships. The benchmark acquisition module 212 acquires benchmark data corresponding to the departmental operation indicator data. The benchmarking result generation module 213 correlates the current indicator value, target value, hospital-wide best value, and DRG group median of the same departmental operation indicator to generate multi-benchmark benchmarking results and generates dashboard-style display data for the corresponding departmental operation indicators.

[0063] The early warning status generation module 214 determines the deviation calculation method between the current indicator value and the target value based on the indicator's directional attribute, and generates an early warning judgment result based on the calculated deviation. When the deviation meets the preset early warning conditions, the early warning status generation module 214 generates an early warning display status for the corresponding department's operational indicator; when the deviation does not meet the preset early warning conditions, the corresponding department's operational indicator maintains its normal display status. The drill-down data generation module 215 responds to trigger operations for departmental operational indicators in the early warning display status, determines detailed query conditions based on preset drill-down dimensions, and generates detailed ranking data or distribution data. The target adjustment and update module 216 updates the target value of the corresponding department's operational indicator based on the adjusted target value, and regenerates multi-benchmark comparison results, early warning judgment results, and dashboard-style display data based on the updated target value.

[0064] like Figure 3 As shown, the performance dashboard terminal display interface includes an indicator display area and a drill-down display area. The indicator display area is used to display dashboard-style data, which includes the current indicator value, target value, the hospital's best value, and the median of the DRG group. The indicator display area is divided into sections according to efficiency indicators, effectiveness indicators, and quality indicators. Each indicator display unit is used to display the current value and corresponding benchmark value of a department's operational indicator.

[0065] The touchscreen display 23 shows the current value indicator, target value scale, hospital-optimal value scale, and DRG group median scale in the indicator display area. After the warning status generation module 214 generates a warning judgment result, the touchscreen display 23 displays the corresponding warning display status based on the judgment result. When the deviation does not meet the preset warning conditions, the touchscreen display 23 displays the normal display status of the corresponding department's operational indicators.

[0066] When the touch screen 23 receives a trigger operation for a department's operational indicator that is in an early warning display state, the drill-down data generation module 215 determines the drill-down dimension and detailed query conditions based on the indicator identifier corresponding to the department's operational indicator, and generates detailed ranking data or distribution data. The drill-down display area is used to display the detailed ranking data or distribution data generated by the drill-down data generation module 215, so that the early warning indicator and its corresponding detailed data can be displayed in a related manner in the performance dashboard terminal 2.

[0067] like Figure 4 As shown, the target management terminal's operation interface is used to adjust target values. Target management terminal 3 receives target value adjustment operations for departmental operational indicators and obtains the adjusted target values. Target management terminal 3 then sends the adjusted target values ​​to the target adjustment and update module 216 in the performance dashboard terminal 2.

[0068] After receiving the adjusted target value, the target adjustment and update module 216 updates the target value of the corresponding department's operational indicators based on the adjusted target value. After updating the target value, the target adjustment and update module 216 triggers the benchmarking result generation module 213 to regenerate the corresponding multi-benchmark benchmarking results, triggers the early warning status generation module 214 to regenerate the corresponding early warning judgment results, and causes the touch screen 23 to synchronously update the target value scale marks, early warning display status, and dashboard-style display data.

[0069] During the above operation, data acquisition gateway 1, performance dashboard terminal 2, and target management terminal 3 form a collaborative processing relationship. Data acquisition gateway 1 provides raw data on departmental operations, performance dashboard terminal 2 generates departmental operation indicators, performs multi-benchmarking, issues early warnings, generates detailed ranking or distribution data, and displays the data on the interface. Target management terminal 3 provides adjusted target values. Through this structure and process, departmental operation performance data can be displayed according to a preset collection cycle, and the benchmarking results, early warning results, and dashboard-style display data are updated synchronously after the target values ​​are adjusted.

[0070] The embodiments described above are used to illustrate the technical solutions of this embodiment, and are not intended to limit this embodiment. Without departing from the technical concept of this embodiment, those skilled in the art can make equivalent substitutions or conventional modifications to the specific embodiments.

Claims

1. A method for real-time display of department operation performance data and dynamic benchmarking against targets, characterized in that, The method includes: S1. Obtain raw departmental operation data from the hospital's business system according to the preset collection cycle; S2. Based on the preset indicator configuration relationship, the original department operation data is converted into department operation indicator data, which includes the current indicator value and indicator direction attribute of multiple department operation indicators; S3. Obtain benchmark data corresponding to the departmental operation indicator data, wherein the benchmark data includes target value, hospital best value and DRG group median; S4. Associate the current value, target value, hospital-wide best value, and DRG group median of the same department's operational indicators to generate multi-benchmark comparison results; S5. Generate dashboard-style display data of corresponding departmental operation indicators based on the multi-benchmark benchmarking results; S6. Determine the deviation calculation method between the current indicator value and the target value based on the indicator direction attribute, and generate an early warning judgment result based on the calculated deviation; when the deviation meets the preset early warning conditions, generate the early warning display status of the corresponding department's operational indicators; when the deviation does not meet the preset early warning conditions, maintain the normal display status of the corresponding department's operational indicators. S7. Respond to the triggered operation for the department operation indicators that are in the warning display state, determine the detailed query conditions according to the preset drill-down dimension corresponding to the department operation indicators, and generate detailed ranking data or distribution data based on the original department operation data or the department operation indicator data. S8. Receive the adjusted target value, update the target value of the corresponding department's operational indicators according to the adjusted target value, and regenerate the corresponding multi-benchmark comparison results, early warning judgment results, and dashboard display data based on the updated target value.

2. The method according to claim 1, characterized in that, The hospital business system described in S1 includes a hospital information system, a cost system, and a medical record system. The original data for departmental operations includes departmental identifiers, time identifiers, and business field data, and the data is aligned based on the departmental identifiers and the time identifiers.

3. The method according to claim 1, characterized in that, The preset indicator configuration relationship described in S2 includes indicator identifier, indicator category, data source field, indicator calculation rule, indicator direction attribute, and display area. The indicator category includes efficiency indicator, benefit indicator, and quality indicator.

4. The method according to claim 1, characterized in that, The benchmark data mentioned in S3 is obtained based on the indicator identifier and department identifier corresponding to the department's operational indicators, and includes benchmark type and benchmark value. The benchmark type includes the hospital's best value, the median of the DRG group, and the target value.

5. The method according to claim 3, characterized in that, The dashboard-style data display in S5 includes an indicator display unit, a current value indicator marker, a target value scale marker, a hospital's optimal value scale marker, and a DRG group median scale marker, and is assigned to the corresponding indicator display partition according to the display area.

6. The method according to claim 3, characterized in that, The directional attributes of the indicators described in S6 include positive attributes, negative attributes, or interval attributes; When it is a positive attribute, the deviation is calculated based on the difference between the current indicator value and the target value. When it is a reverse attribute, the deviation is calculated based on the difference between the current indicator value and the target value. When the attribute is an interval, the deviation is calculated based on the difference between the current indicator value and the boundary of the target interval.

7. The method according to claim 1, characterized in that, The preset drill-down dimension described in S7 is bound to the indicator identifier of the department's operational indicators. After receiving a trigger operation for a department's operational indicator that is in an early warning display state, the drill-down dimension and detailed query conditions are determined according to the indicator identifier, and detailed ranking data or distribution data is generated.

8. The method according to claim 1, characterized in that, S8 receives the adjusted target value, updates the target value of the corresponding department's operational indicators according to the adjusted target value, and simultaneously updates the target value scale markers, early warning display status, and dashboard display data.

9. A device for real-time display of departmental operational performance data and dynamic target benchmarking, characterized in that, The device is used to implement the method of claim 1, and the device includes a data acquisition gateway (1), a performance dashboard terminal (2), and a target management terminal (3). The data acquisition gateway (1) is connected to the hospital information system (41), the cost system (42) and the medical record system (43) respectively, and is used to acquire the original data of department operation and send it to the performance dashboard terminal (2). The performance dashboard terminal (2) includes a benchmarking analysis processor (21) and a touch screen (23). The benchmarking analysis processor (21) includes an indicator conversion module (211), a benchmark acquisition module (212), a benchmarking result generation module (213), an early warning status generation module (214), a drill-down data generation module (215), and a target adjustment and update module (216). The target management terminal (3) is used to send the adjusted target value to the target adjustment and update module (216), so that the performance dashboard terminal (2) updates the multi-benchmarking results, early warning judgment results and dashboard display data based on the updated target value.

10. The apparatus according to claim 9, characterized in that, The touch screen (23) includes an indicator display area and a drill-down display area. The indicator display area is used to display the current indicator value, target value, the best value of the institute and the median of the DRG group. The drill-down display area is used to display the detailed ranking data or distribution data generated by the drill-down data generation module (215).

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