Hospital intelligent service rating method and device, electronic equipment and storage medium
By obtaining and analyzing hospital smart service operation data, combining preset rating index systems and standards, a scientific and objective hospital smart service rating method is provided, which solves the problems of incomplete and inaccurate assessments in the existing technology, and achieves a comprehensive and accurate rating of hospital smart services and improves service quality.
Patent Information
- Application Number
- CN202411691385.0
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2024-11-25
- Publication Date
- 2025-02-28
AI Technical Summary
In the prior art, it is difficult for hospitals to perform smart service ratings through effective methods, resulting in incomplete evaluation indicators, inaccurate data statistics, unintuitive analysis results, and difficult to provide timely and accurate data support, affecting the improvement of service quality.
Provide a hospital smart service rating method, which can obtain the smart service operation data of the hospital to be evaluated, conduct in-depth analysis, and combine the preset rating index system and standards to conduct scientific and objective service ratings on the hospital. This method covers pre-diagnosis services, in-diagnosis services, post-diagnosis services, full-process services, basic and safety aspects, etc., to ensure the fairness and accuracy of the rating results.
It has achieved a comprehensive and accurate rating of hospital smart services, helping hospitals quickly and accurately understand the actual operation effect of smart services, promote the continuous improvement of service quality, and solve the problem of unintuitive evaluation results and difficulty in providing timely data support.
Smart Images
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Abstract
Description
Technical Field
[0001] The present application relates to the field of smart service technology, and specifically to a hospital smart service rating method, device, electronic device and storage medium. Background Art
[0002] With the development of medical informatization, more and more hospitals are beginning to build smart service systems. In the existing technology, some medical institutions try to rate smart services by formulating their own evaluation standards or using third-party evaluation services. However, these methods often have problems such as incomplete evaluation indicators, inaccurate data statistics, and non-intuitive analysis results. In addition, the manual data statistics and analysis process is cumbersome and inefficient, and it is difficult to provide timely and accurate data support. As a result, hospitals often find it difficult to fully and accurately understand the actual operating effects of smart services, and the improvement of service quality is limited. Summary of the invention
[0003] In order to solve the above technical problems, the present application provides a hospital smart service rating method, device, electronic device and storage medium.
[0004] In the first aspect, the present application provides a hospital smart service rating method, including: obtaining the smart service operation data of the hospital to be evaluated, wherein the smart service operation data includes the data of the hospital to be evaluated on pre-diagnosis service, in-diagnosis service, post-diagnosis service, full-process service, basic and safety aspects; analyzing the smart service operation data to obtain analysis results; rating the service of the hospital to be evaluated based on the analysis results and a preset rating index system and standards to obtain a rating result, wherein the preset rating index system and standards are obtained by parsing according to the smart service policy documents, and the preset rating index system and standards include a set of evaluation items and the evaluation content corresponding to each evaluation item.
[0005] By adopting the above technical solution, the smart service operation data of the hospital to be evaluated can be obtained comprehensively and accurately, and detailed analysis results can be obtained through in-depth analysis of the data. This method uses a preset rating index system and standards to scientifically and objectively rate the hospital's smart services to ensure the fairness and accuracy of the rating results. At the same time, this method can cover multiple aspects such as pre-diagnosis services, in-diagnosis services, post-diagnosis services, full-process services, basic and safety services, etc., to help hospitals fully understand the actual operation effects of smart services, thereby providing hospitals with reliable data support, helping hospitals to better improve the actual operation effects of smart services and promote the continuous improvement of service quality.
[0006] Optionally, before obtaining the smart service operation data of the hospital to be evaluated, the above method also includes: determining the evaluation grade of the hospital to be evaluated; and determining the data in the initial database of the hospital to be evaluated that matches the evaluation grade as the smart service operation data.
[0007] By adopting the above technical solutions, it is possible to ensure that the acquired smart service operation data is more accurate and targeted, thereby improving the accuracy of subsequent data analysis and rating. Specifically, by predetermining the rating of the hospitals to be rated, the interference of irrelevant data can be reduced, making the analysis results closer to actual needs, and further improving the reliability and practicality of the rating results.
[0008] Optionally, the smart service operation data is analyzed to obtain analysis results, including: preprocessing the smart service operation data to obtain a set of characteristic data; analyzing a set of characteristic data to obtain analysis results, wherein the analysis results include indicator data of multiple evaluation items, and a set of evaluation items includes multiple evaluation items.
[0009] By adopting the above technical solutions, the hospital's smart service operation data can be preprocessed comprehensively and accurately to ensure the quality of the basic data for subsequent analysis. By analyzing the preprocessed feature data, specific indicator data for multiple evaluation items can be obtained, making the analysis results more detailed and accurate. This detailed analysis result helps the hospital fully understand the actual operation status of smart services and provide strong data support for improving service quality.
[0010] Optionally, the smart service operation data is preprocessed to obtain a set of feature data, including: performing data cleaning on the smart service operation data to obtain valid data; converting the valid data into a set of structured data; performing feature extraction on a set of structured data to obtain a set of feature data.
[0011] By adopting the above technical solutions, noise and redundant information in the operation data of smart services can be effectively removed to ensure the accuracy of subsequent analysis. Specifically, the data cleaning step can identify and eliminate invalid or erroneous data to improve data quality; convert valid data into a structured data format to facilitate subsequent processing and analysis; the feature extraction step further refines key features, reduces data dimensions, and improves analysis efficiency and accuracy.
[0012] Optionally, a service rating is performed on the hospital to be evaluated according to the analysis results and a preset rating indicator system and standards to obtain a rating result, including: determining the service scores corresponding to each evaluation item in a set of evaluation items to obtain a set of service scores; obtaining a rating result based on a set of service scores; wherein, the target evaluation item is any evaluation item in a set of evaluation items, and for the target evaluation item, a target service score corresponding to the target evaluation item is obtained in the following manner: matching the indicator data in the analysis results with the indicators in the target evaluation content to obtain a matching result, wherein the target evaluation content is used to represent the evaluation content corresponding to the target evaluation item; determining the target service score based on the matching result, wherein a set of service scores includes the target service score.
[0013] By adopting the above technical solution, accurate rating of hospital smart services can be achieved. Specifically, through detailed analysis of smart service operation data, indicator data of multiple evaluation items are obtained, and then these indicator data are matched with the evaluation content in the preset rating indicator system to ensure that the score of each evaluation item is accurate. Finally, based on the service score of each evaluation item, the overall service rating of the hospital is comprehensively assessed, thereby providing the hospital with a scientific and objective rating basis, helping the hospital to fully and accurately understand the actual operation effect of smart services and promote the continuous improvement of service quality. Combining the analysis results with the preset rating indicator system and standards to generate intuitive rating results, it helps hospitals quickly and accurately understand the actual operation effect of smart services, provides strong support for the improvement of hospital service quality, and solves the problem that the evaluation results in the existing technology are not intuitive and it is difficult to provide timely data support.
[0014] Optionally, a rating result is obtained based on a set of service scores, including: weighted summing up each service score in a set of service scores according to a preset weight distribution to obtain a total score; comparing the total score with a preset score threshold to obtain a comparison result, wherein the preset score threshold is used to represent the minimum score corresponding to the grade to be rated; when the comparison result indicates that the total score is greater than or equal to the preset score threshold, determining that the rating result is up to standard; when the comparison result indicates that the total score is less than the preset score threshold, determining that the rating result is not up to standard.
[0015] By adopting the above technical solution, accurate rating of hospital smart services can be achieved. Specifically: the weighted sum of each service score in a set of service scores is performed according to the preset weight distribution to obtain a total score, which ensures that the importance of each evaluation item is reflected and improves the scientificity and accuracy of the rating. The total score is compared with the preset score threshold to obtain a comparison result, so that the rating result has a clear standard basis and avoids the deviation caused by subjective judgment. When the total score is greater than or equal to the preset score threshold, the rating result is up to standard, otherwise it is not up to standard. This binary rating result makes it easy for hospitals to quickly understand the quality level of their own smart services and helps guide the formulation of subsequent improvement measures.
[0016] Optionally, after obtaining the rating result, the above method further includes at least one of the following: displaying the rating result; pushing the rating result to a target terminal.
[0017] By adopting the above technical solution, after obtaining the rating results, the rating results can be displayed or pushed to the target terminal, so that hospital managers or other relevant personnel can timely and intuitively understand the specific rating status of the smart service, thereby improving management efficiency and service quality.
[0018] In the second aspect of the present application, a hospital smart service rating device is also provided, including: an acquisition module, used to obtain the smart service operation data of the hospital to be evaluated, wherein the smart service operation data includes the data of the hospital to be evaluated on pre-diagnosis service, in-diagnosis service, post-diagnosis service, full-process service and basic and safety aspects; an analysis module, used to analyze the smart service operation data and obtain analysis results; a rating module, used to rate the service of the hospital to be evaluated according to the analysis results and a preset rating index system and standards, and obtain rating results, wherein the preset rating index system and standards are obtained by parsing according to the smart service policy document, and the preset rating index system and standards include a set of evaluation items and the evaluation content corresponding to each evaluation item.
[0019] In a third aspect of the present application, an electronic device is provided, including a memory and a processor, wherein a computer program is stored in the memory, and when the processor executes the program, any of the above method steps is implemented.
[0020] In a fourth aspect of the present application, a computer-readable storage medium is provided, wherein the computer-readable storage medium stores instructions, and when the instructions are executed, any of the above method steps is performed.
[0021] In summary, one or more technical solutions provided in this application have at least the following technical effects or advantages: 1. This rating method can cover multiple aspects such as pre-diagnosis service, in-diagnosis service, post-diagnosis service, full-process service, basic and safety, etc., to help hospitals fully understand the actual operation effect of smart services, thereby providing hospitals with reliable data support, helping hospitals to improve the actual operation effect of smart services and promote the continuous improvement of service quality; 2. Combine the analysis results with the preset rating index system and standards to generate intuitive rating results, helping hospitals to quickly and accurately understand the actual operating effects of smart services, providing strong support for improving the hospital's service quality, and solving the problem of non-intuitive evaluation results and difficulty in providing timely data support in existing technologies. BRIEF DESCRIPTION OF THE DRAWINGS
[0022] Figure 1 It is a flow chart of a hospital smart service rating method provided in an embodiment of the present application; Figure 2 This is an example diagram of an evaluation project for a hospital smart service provided in an embodiment of the present application; Figure 3 This is an example diagram of a total score provided in an embodiment of the present application; Figure 4 It is a structural block diagram of a hospital smart service rating device provided in an embodiment of the present application; Figure 5 It is a schematic diagram of the structure of an electronic device disclosed in an embodiment of the present application.
[0023] Description of the reference numerals: 500 - electronic device; 501 - processor; 502 - communication bus; 503 - user interface; 504 - network interface; 505 - memory. DETAILED DESCRIPTION
[0024] In order to enable technicians in this field to better understand the technical solutions in this specification, the technical solutions in the embodiments of this specification will be clearly and completely described below in conjunction with the drawings in the embodiments of this specification. Obviously, the described embodiments are only part of the embodiments of this application, not all of the embodiments.
[0025] In the description of the embodiments of the present application, words such as "for example" or "for example" are used to indicate examples, illustrations or explanations. Any embodiment or design described as "for example" or "for example" in the embodiments of the present application should not be interpreted as being more preferred or more advantageous than other embodiments or designs. Specifically, the use of words such as "for example" or "for example" is intended to present related concepts in a specific way.
[0026] In the description of the embodiments of the present application, the term "plurality" means two or more. In addition, the terms "first" and "second" are used for descriptive purposes only and cannot be understood as indicating or implying relative importance or implicitly indicating the indicated technical features. Thus, the features defined as "first" and "second" may explicitly or implicitly include one or more of the features. The terms "include", "comprise", "have" and their variations all mean "including but not limited to", unless otherwise specifically emphasized.
[0027] This application provides a hospital smart service rating method, referring to Figure 1 , Figure 1 This is a flowchart of a hospital smart service rating method provided in an embodiment of the present application, comprising the following steps: Step S101, obtaining the smart service operation data of the hospital to be evaluated, wherein the smart service operation data includes the data of the hospital to be evaluated in terms of pre-diagnosis service, in-diagnosis service, post-diagnosis service, full-process service, and basic and safety aspects; Step S102, analyzing the smart service operation data to obtain analysis results; Step S103, performing service rating on the hospital to be rated according to the analysis results and the preset rating index system and standards to obtain the rating results, wherein the preset rating index system and standards are obtained by parsing the smart service policy document, and the preset rating index system and standards include a set of evaluation items and the evaluation content corresponding to each evaluation item.
[0028] The execution entity of the above steps can be a smart service management platform, a terminal, or a system tool provided in the terminal, but is not limited to these.
[0029] Through the above steps, the smart service operation data of the hospital to be evaluated can be obtained comprehensively and accurately, and detailed analysis results can be obtained through in-depth analysis of the data. This method uses the preset rating index system and standards to scientifically and objectively rate the hospital's smart services to ensure the fairness and accuracy of the rating results. At the same time, this method can cover pre-diagnosis services, in-diagnosis services, post-diagnosis services, full-process services, basic and safety aspects, etc., to help hospitals fully understand the actual operation effects of smart services, thereby providing hospitals with reliable data support, helping hospitals to better improve the actual operation effects of smart services and promote the continuous improvement of service quality.
[0030] In the above embodiment, by covering all-round data such as pre-diagnosis service, in-diagnosis service, post-diagnosis service, full-process service, basic and safety, the one-sidedness of the evaluation indicators is avoided, the comprehensiveness of the evaluation indicators can be ensured, and the actual operation effect of the hospital's smart service can be more comprehensively evaluated; in-depth analysis of the smart service operation data can ensure the accuracy of data statistics and reduce the evaluation bias caused by data errors or omissions; automated data collection and analysis reduces the possibility of human errors; standardized rating systems can make the results clearer; automated processes reduce the need for manual operations and improve efficiency. Rating the analysis results by pre-setting the rating indicator system and standards can intuitively reflect the hospital's smart service level and existing problems, which is convenient for hospital managers to make targeted improvements. The embodiment of the present application provides a more efficient and accurate service rating scheme. This method can reduce the tedious work of manual statistics and analysis through automated data analysis, and improve the accuracy of data and the timeliness of rating results. The specific evaluation items of the above-mentioned various types of services can refer to the relevant documents of the management department of the medical institution, such as the documents of the hospital smart service grading evaluation standard system, which can divide the entire hospital smart service evaluation project into 5 categories and 17 items.
[0031] In an optional embodiment, before obtaining the smart service operation data of the hospital to be evaluated, the above method also includes: determining the evaluation grade of the hospital to be evaluated; and determining the data in the initial database of the hospital to be evaluated that matches the evaluation grade as the smart service operation data.
[0032] In the above embodiment, it is possible to ensure that the acquired smart service operation data is more accurate and targeted, thereby improving the accuracy of subsequent data analysis and rating. Specifically, by predetermining the rating of the hospital to be rated, the interference of irrelevant data can be reduced, making the analysis results closer to actual needs, and further improving the reliability and practicality of the rating results.
[0033] Different levels may have different evaluation criteria, so it is necessary to select appropriate data for evaluation based on the actual situation of the hospital, match the data in the initial database with the level to be evaluated, and only select data associated with the level as smart service operation data, which helps to improve the relevance and effectiveness of the data and reduce unnecessary data processing workload. By clarifying the level of the hospital to be evaluated, the data corresponding to the level can be selected from the initial database of the hospital as the evaluation object, avoiding the interference of irrelevant data, improving the pertinence and effectiveness of the evaluation, and improving the efficiency of the evaluation; different hospitals have different service levels and characteristics. By determining the level and selecting the corresponding data, a more targeted evaluation can be carried out. For example, in the hospital smart service grading evaluation standard system, the overall application of the hospital smart service information system is divided into six levels from 0 to 5, and different levels have different requirements for service items and evaluation content. Figure 2 An example diagram of evaluation items for hospital smart services, which includes multiple different evaluation items. For different ratings, the specific evaluation content of each evaluation item may also be different. In addition, according to different rating requirements, some evaluation items are basic items and some items are optional items.
[0034] In an optional embodiment, the smart service operation data is analyzed to obtain analysis results, including: preprocessing the smart service operation data to obtain a set of characteristic data; analyzing the set of characteristic data to obtain analysis results, wherein the analysis results include indicator data of multiple evaluation items, and a set of evaluation items includes multiple evaluation items.
[0035] In the above embodiment, the hospital smart service operation data can be preprocessed comprehensively and accurately to ensure the quality of the basic data for subsequent analysis. By analyzing the preprocessed feature data, specific indicator data for multiple evaluation items can be obtained, making the analysis results more detailed and accurate. This detailed analysis result helps the hospital to fully understand the actual operation status of the smart service and provide strong data support for improving service quality.
[0036] The original smart service operation data may contain a lot of redundant information. Directly using this data for analysis will lead to a waste of computing resources and may affect the accuracy of the analysis results. The preprocessing step can remove unnecessary information, retain useful parts, and simplify the data structure; data formats from different sources may be inconsistent, and direct merging and analysis may lead to erroneous results. Preprocessing can convert data into a consistent format to facilitate further analysis; the original data may contain noise or outliers, which will affect the reliability of the final analysis results. Preprocessing can clean the data and reduce the impact of noise. By preprocessing the smart service operation data, such as cleaning noise, filling missing values, and unifying data formats, a set of higher-quality and easier-to-analyze feature data can be obtained, which provides a solid foundation for subsequent analysis work and ensures the accuracy and reliability of the analysis results; the preprocessing step can significantly reduce the amount of useless data, reduce calculation complexity, speed up analysis, and improve work efficiency; the feature data obtained through preprocessing is more focused on the key points of the evaluation, making the analysis results closer to the actual situation and improving the accuracy of the evaluation; the preprocessed feature data is more concise and clear, reducing the complexity and amount of calculation in the analysis process, thereby improving the analysis efficiency; the results after preprocessing and analysis contain specific indicator data for each evaluation project, making the final analysis results more intuitive, easy to understand and apply; since the evaluation results cover the indicator data of multiple evaluation projects, this method supports comprehensive evaluation of the hospital's smart services from multiple angles and provides a comprehensive view of service quality.
[0037] In an optional embodiment, the smart service operation data is preprocessed to obtain a set of feature data, including: performing data cleaning on the smart service operation data to obtain valid data; converting the valid data into a set of structured data; performing feature extraction on a set of structured data to obtain a set of feature data.
[0038] In the above embodiment, the noise and redundant information in the smart service operation data can be effectively removed to ensure the accuracy of subsequent analysis. Specifically, the data cleaning step can identify and remove invalid or erroneous data to improve data quality; convert valid data into a structured data format to facilitate subsequent processing and analysis; the feature extraction step further refines key features, reduces data dimensions, and improves analysis efficiency and accuracy.
[0039] By cleaning the smart service operation data, such as removing duplicate data, filling missing values, correcting erroneous data, etc., more accurate and complete valid data can be obtained. This provides a high-quality data source for subsequent data conversion and feature extraction; converting valid data into a set of structured data makes the data more neat and standardized, easy for subsequent analysis and processing, and structured data has clear fields and formats, which is convenient for advanced analysis such as data mining and machine learning; feature extraction of structured data can extract a set of feature data that has a key impact on the evaluation of the hospital's smart service level. These feature data can more accurately reflect the actual situation of the hospital in terms of smart services, and provide strong support for subsequent evaluation and analysis; through the above-mentioned data preprocessing steps, a standardized process is provided for the preprocessing of smart service operation data, which further improves the data quality and analysis accuracy of the hospital's smart service rating method, and at the same time realizes the standardization and repeatability of the data processing process. Medical institutions can adopt the rating method of the embodiment of the present application, which can effectively improve the level of automatic evaluation and facilitate medical institutions to understand their own smart service level before formally applying for rating.
[0040] In an optional embodiment, a service rating of the hospital to be evaluated is performed according to the analysis results and a preset rating indicator system and standards to obtain a rating result, including: determining the service scores corresponding to each evaluation item in a set of evaluation items to obtain a set of service scores; obtaining a rating result according to a set of service scores; wherein the target evaluation item is any evaluation item in a set of evaluation items, and for the target evaluation item, obtaining a target service score corresponding to the target evaluation item in the following manner: matching the indicator data in the analysis results with the indicators in the target evaluation content to obtain a matching result, wherein the target evaluation content is used to represent the evaluation content corresponding to the target evaluation item; determining the target service score according to the matching result, wherein a set of service scores includes the target service score.
[0041] In the above embodiment, accurate rating of hospital smart services can be achieved. Specifically, through detailed analysis of smart service operation data, indicator data of multiple evaluation items are obtained, and then these indicator data are matched with the evaluation content in the preset rating indicator system to ensure that the score of each evaluation item is accurate. Finally, based on the service score of each evaluation item, the overall service rating of the hospital is comprehensively assessed, thereby providing the hospital with a scientific and objective rating basis, helping the hospital to fully and accurately understand the actual operation effect of smart services and promote the continuous improvement of service quality. Figure 3It is an example of a total score chart, which includes the service score of each evaluation item and the total score. The analysis results are combined with the preset rating indicator system and standards to generate intuitive rating results, which helps hospitals quickly and accurately understand the actual operation effect of smart services, provides strong support for improving the service quality of hospitals, and solves the problem of unintuitive evaluation results and difficulty in providing timely data support in existing technologies.
[0042] Each evaluation item has specific evaluation content and standards. The indicator data in the analysis results need to be matched with these standards to obtain a reasonable score. This method ensures the accuracy of the score by matching the analysis results with the evaluation content; and then combines the scores of multiple evaluation items to obtain the final rating results. By matching the analysis results with the preset evaluation content, the accuracy and rationality of the score can be ensured, and the deviation caused by subjective judgment can be avoided; clear service scores can help hospitals identify their strengths and weaknesses, and then take measures to improve and promote the continuous improvement of service quality.
[0043] By presetting the rating index system and standards, this embodiment provides a standardized process for the service rating of the hospital to be rated. This ensures the fairness and objectivity of the rating process, avoids the difference in rating results caused by personal subjective judgment or lack of unified standards, and obtains the matching results by matching the index data in the analysis results with the indicators in the target evaluation content, and determines the target service score based on the matching results, which can more accurately reflect the performance of the hospital to be rated in each evaluation project. This indicator matching-based method reduces the interference of human factors and improves the accuracy of service scoring; since the rating process is based on the preset rating index system and standards, and the service score is obtained by indicator matching, the rating results have higher credibility. Of course, in actual applications, the preset rating index system and standards can be adjusted and optimized according to actual conditions to adapt to changes in different hospitals, different time periods or different evaluation needs.
[0044] In an optional embodiment, a rating result is obtained based on a set of service scores, including: weighted summing up each service score in a set of service scores according to a preset weight distribution to obtain a total score; comparing the total score with a preset score threshold to obtain a comparison result, wherein the preset score threshold is used to represent the minimum score corresponding to the grade to be rated; when the comparison result indicates that the total score is greater than or equal to the preset score threshold, determining that the rating result is up to standard; when the comparison result indicates that the total score is less than the preset score threshold, determining that the rating result is not up to standard.
[0045] In the above embodiment, accurate rating of hospital smart services can be achieved. Specifically: each service score in a set of service scores is weighted and summed according to the preset weight distribution to obtain a total score, which ensures that the importance of each evaluation item is reflected and improves the scientificity and accuracy of the rating. The total score is compared with the preset score threshold to obtain a comparison result, so that the rating result has a clear standard basis and avoids the deviation caused by subjective judgment. When the total score is greater than or equal to the preset score threshold, the rating result is up to standard, otherwise it is not up to standard. This binary rating result facilitates hospitals to quickly understand the quality level of their own smart services and helps guide the formulation of subsequent improvement measures.
[0046] Through the preset weight distribution, the importance of each evaluation item in the overall rating can be comprehensively considered. This weight distribution method makes the rating results more in line with the actual situation and avoids rating deviations caused by over-emphasis or neglect of certain evaluation items. By setting a preset scoring threshold, a clear judgment standard is provided for the rating results. This setting method makes the rating results more objective and fair, and avoids differences in rating results caused by subjective judgment or lack of unified standards. This embodiment provides a more scientific, objective and fair method for hospital smart service rating through reasonable weight distribution, clear scoring threshold setting and clear rating result judgment criteria. This helps to promote the continuous improvement and enhancement of hospital smart services and improve the quality and efficiency of medical services.
[0047] In an optional embodiment, after obtaining the rating result, the above method further includes at least one of the following: displaying the rating result; pushing the rating result to a target terminal.
[0048] In the above embodiment, after obtaining the rating results, the rating results can be displayed or pushed to the target terminal, so that hospital managers or other relevant personnel can timely and intuitively understand the specific rating status of the smart service, thereby improving management efficiency and service quality.
[0049] By displaying the rating results, hospital managers, regulatory authorities and other relevant parties can have a clearer understanding of the smart service level of the hospital to be rated; by pushing the rating results to the target terminals (such as the terminals of the hospital management department, the terminals of the regulatory department, etc.), relevant parties can obtain the rating information as soon as possible; by displaying and pushing the rating results, a feedback mechanism can be formed to encourage hospitals to continuously pay attention to and improve their own smart service levels. This continuous improvement momentum helps to promote the overall improvement of hospital smart services and provide patients with better quality and more efficient medical services.
[0050] In an optional embodiment, the smart service operation data is analyzed to obtain analysis results, including: using a preset model to process the smart service operation data to generate a visualization report, wherein the analysis results include a visualization report, and the visualization report includes indicator data of multiple dimensions.
[0051] In the above embodiment, a comprehensive and multi-dimensional analysis of the hospital's smart service operation data can be performed to generate a visual report containing multiple evaluation project indicator data. This not only improves the accuracy and intuitiveness of data analysis, but also facilitates relevant personnel to quickly grasp the actual operation of the hospital's smart services, thereby providing strong support for decision-making. Specifically: the use of preset models to process smart service operation data ensures the consistency and standardization of data processing, reduces errors caused by human factors, and improves the accuracy of data analysis; the generated visual report graphically displays indicator data of multiple dimensions, making complex data easy to understand and interpret, and enhancing the intuitiveness of the analysis results; through visual reports, managers can quickly understand the actual performance of each evaluation project, so as to adjust management strategies and service processes in a timely manner to improve service quality and achieve the effect of improving decision-making efficiency.
[0052] In an optional embodiment, the above method also includes: using a machine learning algorithm to train and learn historical smart service data to predict the operating trends of hospital smart services in the future.
[0053] In the above embodiment, the machine learning algorithm is used to train and learn historical smart service data, which can predict the operation trend of hospital smart services in the future, thereby helping hospitals to make resource allocation and service optimization in advance, improve service efficiency and patient satisfaction. At the same time, the solution can provide a more scientific and accurate basis for decision-making, reduce the impact of human factors, and ensure the continuous improvement and development of hospital smart services.
[0054] Obviously, the above-described embodiments are only a part of the embodiments of the present application, rather than all the embodiments. The present application will be described in detail below in conjunction with specific embodiments.
[0055] The embodiment of the present application provides a hospital smart service rating method, which includes four main steps: smart service policy interpretation, smart service data acquisition, smart service data analysis and data overview. First, through the interpretation of smart service policies, clarify the rating index system and evaluation standards; second, use the smart service data acquisition function to collect the actual operation data of the hospital in five aspects: pre-diagnosis, during diagnosis, after diagnosis, full-service, and basic and safety; then, through the smart service data analysis module, conduct in-depth mining and multi-dimensional analysis of the collected data to generate a visual report; finally, through the data overview function, display the overall operation status and rating results of the hospital's smart services, and provide decision support for the hospital management.
[0056] Optimization plan 1: In the data analysis phase, introduce machine learning algorithms to train and learn historical data to predict the operating trends and possible problems of hospital smart services in the future, and provide early warning and optimization.
[0057] Optimization plan 2: Add a data verification mechanism to perform real-time verification and cleaning of the collected data during the data acquisition process to ensure the authenticity and accuracy of the data and improve the reliability of the analysis results.
[0058] Specific example: This method is used for data statistics and analysis when rating smart services in a tertiary hospital. After clarifying the rating standards through policy interpretation, the hospital uses the data acquisition function to collect service data from each department before, during, and after diagnosis. In actual applications, relevant smart service operation data can be obtained from the hospital operation database, or by collecting smart service related data reported by each department. After processing by the data analysis module, a visual report containing multiple indicators such as patient waiting time, doctor response time, and service satisfaction is generated. The hospital has carried out targeted optimization of smart services based on the report results, effectively improving service quality and patient satisfaction.
[0059] By implementing the above-mentioned embodiments of this application, by building a scientific and standardized hospital smart service grading evaluation system and realizing comprehensive and accurate data statistics and visual analysis, this method can assist hospitals in more accurately rating and declaring smart services and reduce the construction error rate. At the same time, the introduction of machine learning algorithms and the addition of data verification mechanisms and other optimization measures further improve the reliability of analysis results and the accuracy of predictions, providing strong support for the continuous optimization of hospital smart services.
[0060] This application also provides a hospital smart service rating device, such as Figure 4 As shown, Figure 4 This is a structural block diagram of a hospital smart service rating device provided in an embodiment of the present application, the device comprising: The acquisition module 401 is used to acquire the smart service operation data of the hospital to be evaluated, wherein the smart service operation data includes the data of the hospital to be evaluated on pre-diagnosis service, in-diagnosis service, post-diagnosis service, full-process service, basic and safety aspects; The analysis module 402 is used to analyze the smart service operation data and obtain analysis results; Rating module 403 is used to perform service rating on the hospitals to be rated based on the analysis results and the preset rating index system and standards to obtain rating results, wherein the preset rating index system and standards are obtained by parsing the smart service policy document, and the preset rating index system and standards include a set of evaluation items and the evaluation content corresponding to each evaluation item.
[0061] In an optional embodiment, the above-mentioned device also includes: a first determination module, used to determine the level of the hospital to be evaluated before obtaining the smart service operation data of the hospital to be evaluated; a second determination module, used to determine the data in the initial database of the hospital to be evaluated that matches the level to be evaluated as the smart service operation data.
[0062] In an optional embodiment, the above-mentioned analysis module 402 includes: a preprocessing unit, used to preprocess the smart service operation data to obtain a set of characteristic data; an analysis unit, used to analyze a set of characteristic data to obtain analysis results, wherein the analysis results include indicator data of multiple evaluation items, and a set of evaluation items includes multiple evaluation items.
[0063] In an optional embodiment, the above-mentioned preprocessing unit includes: a cleaning subunit, used to clean the smart service operation data to obtain valid data; a conversion subunit, used to convert the valid data into a set of structured data; and an extraction subunit, used to extract features from a set of structured data to obtain a set of feature data.
[0064] In an optional embodiment, the rating module 403 includes: a determination unit, used to determine the service scores corresponding to each evaluation item in a group of evaluation items, and obtain a group of service scores; an acquisition unit, used to obtain a rating result based on a group of service scores; wherein the target evaluation item is any evaluation item in a group of evaluation items, and for the target evaluation item, the target service score corresponding to the target evaluation item is obtained in the following manner: matching the indicator data in the analysis result with the indicator in the target evaluation content to obtain a matching result, wherein the target evaluation content is used to represent the evaluation content corresponding to the target evaluation item; determining the target service score based on the matching result, wherein a group of service scores includes the target service score.
[0065] In an optional embodiment, the above-mentioned obtaining unit includes: an obtaining subunit, which is used to weightedly sum each service score in a group of service scores according to a preset weight distribution to obtain a total score; a comparison subunit, which is used to compare the total score with a preset score threshold to obtain a comparison result, wherein the preset score threshold is used to represent the minimum score corresponding to the grade to be rated; a first determination subunit, which is used to determine that the rating result is up to standard when the comparison result indicates that the total score is greater than or equal to the preset score threshold; and a second determination subunit, which is used to determine that the rating result is not up to standard when the comparison result indicates that the total score is less than the preset score threshold.
[0066] In an optional embodiment, the above-mentioned device further includes: a display module, which is used to display the rating result after obtaining the rating result; and a push module, which is used to push the rating result to the target terminal after obtaining the rating result.
[0067] Other device embodiments correspond to the aforementioned method embodiments, and other technical features can be found in the previous embodiments, which will not be repeated here.
[0068] The present application also provides a computer-readable storage medium, in which instructions are stored. When the instructions are executed, any one of the method steps described above is executed.
[0069] In an exemplary embodiment, the computer-readable storage medium may include, but is not limited to, various media that can store computer programs, such as a USB flash drive, a read-only memory (ROM), a random access memory (RAM), a mobile hard disk, a magnetic disk or an optical disk.
[0070] The present application also discloses an electronic device. Figure 5 As shown, Figure 5 The electronic device 500 may include: at least one processor 501 , at least one network interface 504 , a user interface 503 , a memory 505 , and at least one communication bus 502 .
[0071] The communication bus 502 is used to realize the connection and communication between these components.
[0072] The user interface 503 may include a display screen (Display) and a camera (Camera). Optionally, the user interface 503 may also include a standard wired interface and a wireless interface.
[0073] The network interface 504 may optionally include a standard wired interface or a wireless interface (such as a WI-FI interface).
[0074] Among them, the processor 501 may include one or more processing cores. The processor 501 uses various interfaces and lines to connect various parts of the entire electronic device (such as a server), and executes various functions of the server and processes data by running or executing instructions, programs, code sets or instruction sets stored in the memory 505, and calling data stored in the memory 505. Optionally, the processor 501 can be implemented in at least one hardware form of digital signal processing (Digital Signal Processing, DSP), field programmable gate array (Field-Programmable Gate Array, FPGA), and programmable logic array (Programmable Logic Array, PLA). The processor 501 can integrate one or a combination of a central processing unit (Central Processing Unit, CPU), a graphics processing unit (Graphics Processing Unit, GPU) and a modem. Among them, the CPU mainly processes the operating system, user interface and application programs; the GPU is responsible for rendering and drawing the content to be displayed on the display screen; the modem is used to process wireless communications. It can be understood that the above-mentioned modem may not be integrated into the processor 501, and it can be implemented separately through a chip.
[0075] Among them, the memory 505 may include a random access memory (Random Access Memory, RAM) and may also include a read-only memory (Read-Only Memory). Optionally, the memory 505 includes a non-transitory computer-readable storage medium. The memory 505 can be used to store instructions, programs, codes, code sets or instruction sets. The memory 505 may include a program storage area and a data storage area, wherein the program storage area may store instructions for implementing an operating system, instructions for at least one function (such as a touch function, a sound playback function, an image playback function, etc.), instructions for implementing the above-mentioned various method embodiments, etc.; the data storage area may store data involved in the above-mentioned various method embodiments, etc. The memory 505 may also be optionally at least one storage device located away from the aforementioned processor 501. Refer to Figure 5 , the memory 505 as a computer storage medium may include an operating system, a network communication module, a user interface module and an application program of a hospital smart service rating method.
[0076] exist Figure 5In the electronic device 500 shown, the user interface 503 is mainly used to provide an input interface for the user and obtain the data input by the user; and the processor 501 can be used to call an application of a hospital intelligent service rating method stored in the memory 505. When executed by one or more processors 501, the electronic device 500 executes one or more of the methods described in the above embodiments. It should be noted that for the aforementioned method embodiments, for the sake of simple description, they are all expressed as a series of action combinations, but those skilled in the art should be aware that the present application is not limited to the described order of actions, because according to the present application, certain steps can be performed in other orders or simultaneously. Secondly, those skilled in the art should also be aware that the embodiments described in the specification are all preferred embodiments, and the actions and modules involved are not necessarily required for the present application.
[0077] In the above embodiments, the description of each embodiment has its own emphasis. For parts that are not described in detail in a certain embodiment, reference can be made to the relevant descriptions of other embodiments.
[0078] In the several embodiments provided in this application, it should be understood that the disclosed devices can be implemented in other ways. For example, the device embodiments described above are only schematic, such as the division of units, which is only a logical function division. There may be other division methods in actual implementation, such as multiple units or components can be combined or integrated into another system, or some features can be ignored or not executed. Another point is that the mutual coupling or direct coupling or communication connection shown or discussed can be through some service interfaces, and the indirect coupling or communication connection of devices or units can be electrical or other forms.
[0079] The units described as separate components may or may not be physically separated, and the components shown as units may or may not be physical units, that is, they may be located in one place or distributed on multiple network units. Some or all of the units may be selected according to actual needs to achieve the purpose of the solution of this embodiment.
[0080] In addition, each functional unit in each embodiment of the present application may be integrated into one processing unit, or each unit may exist physically separately, or two or more units may be integrated into one unit. The above-mentioned integrated unit may be implemented in the form of hardware or in the form of software functional units.
[0081] If the integrated unit is implemented in the form of a software functional unit and sold or used as an independent product, it can be stored in a computer-readable memory. Based on this understanding, the technical solution of the present application, or the part that contributes to the prior art, or all or part of the technical solution can be embodied in the form of a software product, which is stored in a memory and includes several instructions for a computer device (which can be a personal computer, server or network device, etc.) to execute all or part of the steps of the various embodiments of the present application. The aforementioned memory includes: various media that can store program codes, such as USB flash drives, mobile hard drives, magnetic disks or optical disks.
[0082] The above is only an exemplary embodiment of the present disclosure and cannot be used to limit the scope of the present disclosure. That is, any equivalent changes and modifications made according to the teachings of the present disclosure are still within the scope of the present disclosure. After considering the disclosure of the specification and practice, those skilled in the art will easily think of other embodiments of the present disclosure.
[0083] This application is intended to cover any modifications, uses or adaptations of the present disclosure, which follow the general principles of the present disclosure and include common knowledge or customary technical means in the technical field not recorded in the present disclosure.
Claims
1. A hospital smart service rating method, characterized in that: include: Obtain the smart service operation data of the hospital to be evaluated, wherein the smart service operation data includes the data of the hospital to be evaluated in terms of pre-diagnosis service, in-diagnosis service, post-diagnosis service, full-process service, and basic and safety aspects; Analyze the smart service operation data to obtain analysis results; The service of the hospital to be evaluated is rated according to the analysis results and the preset rating index system and standards to obtain a rating result, wherein the preset rating index system and standards are obtained by parsing the smart service policy document, and the preset rating index system and standards include a group of evaluation items and the evaluation content corresponding to each evaluation item.
2. The method according to claim 1, characterized in that: Before obtaining the smart service operation data of the hospital to be evaluated, the method further includes: Determining the level of the hospital to be evaluated; The data in the initial database of the hospital to be evaluated that matches the level to be evaluated is determined as the smart service operation data.
3. The method according to claim 1, characterized in that Analyze the smart service operation data to obtain analysis results, including: Preprocessing the smart service operation data to obtain a set of feature data; The set of characteristic data is analyzed to obtain the analysis result, wherein the analysis result includes indicator data of multiple evaluation items, and the set of evaluation items includes the multiple evaluation items.
4. The method according to claim 3, characterized in that The smart service operation data is preprocessed to obtain a set of feature data, including: Cleaning the smart service operation data to obtain valid data; Convert the valid data into a set of structured data; Feature extraction is performed on the set of structured data to obtain the set of feature data.
5. The method according to claim 1, characterized in that The service rating of the hospital to be rated is performed according to the analysis results and the preset rating index system and standards to obtain the rating results, including: Determine a service score corresponding to each evaluation item in the set of evaluation items to obtain a set of service scores; Obtaining the rating result according to the set of service scores; The target evaluation item is any evaluation item in the group of evaluation items. For the target evaluation item, the target service score corresponding to the target evaluation item is obtained in the following manner: Matching the indicator data in the analysis result with the indicator in the target evaluation content to obtain a matching result, wherein the target evaluation content is used to represent the evaluation content corresponding to the target evaluation item; The target service score is determined according to the matching result, wherein the set of service scores includes the target service score.
6. The method according to claim 5, characterized in that Obtaining the rating result according to the set of service scores includes: Performing a weighted summation on each service score in the set of service scores according to a preset weight distribution to obtain a total score; Comparing the total score with a preset score threshold to obtain a comparison result, wherein the preset score threshold is used to represent the minimum score corresponding to the level to be rated; When the comparison result indicates that the total score is greater than or equal to the preset score threshold, determining that the rating result is up to standard; When the comparison result indicates that the total score is less than the preset score threshold, the rating result is determined to be unsatisfactory.
7. The method according to claim 1, characterized in that After obtaining the rating result, the method further includes at least one of the following: Displaying the rating results; The rating result is pushed to the target terminal.
8. A hospital smart service rating device, characterized in that: include: An acquisition module is used to acquire the smart service operation data of the hospital to be evaluated, wherein the smart service operation data includes the data of the hospital to be evaluated in terms of pre-diagnosis service, in-diagnosis service, post-diagnosis service, full-process service, and basic and safety aspects; An analysis module, used to analyze the smart service operation data and obtain analysis results; The rating module is used to perform service rating on the hospital to be rated according to the analysis results and the preset rating index system and standards to obtain a rating result, wherein the preset rating index system and standards are obtained by parsing the smart service policy document, and the preset rating index system and standards include a set of evaluation items and the evaluation content corresponding to each evaluation item.
9. An electronic device comprising a memory and a processor, wherein a computer program is stored in the memory, wherein: When the processor executes the program, the method according to any one of claims 1 to 7 is implemented.
10. A computer-readable storage medium, characterized in that: The computer-readable storage medium stores instructions, and when the instructions are executed, the method according to any one of claims 1 to 7 is performed.