Hospital evaluation method and system based on virtual benchmark hospital

Abstract

The invention discloses a hospital evaluation method and system based on virtual benchmark hospitals. The method comprises the following steps: acquiring evaluation basic data of a plurality of reference hospitals; key index data are extracted from the evaluation basic data of all the reference hospitals; determining optimal data of each type of key indexes from the key index data of all the reference hospitals; integrating the optimal data of all the key indexes to serve as key index data of the virtual benchmark hospital; and evaluating the target hospital according to the key index data of the virtual benchmark hospital to obtain an evaluation result of the target hospital. Effective evaluation of the target hospital is realized, and promotion of the target hospital can be effectively promoted.

Description

Technical Field

[0001] The present invention relates to the technical field of hospital evaluation, and in particular, to a hospital evaluation method and system based on a virtual benchmark hospital. Background Art

[0002] The statements in this section merely provide background technical information related to the present invention and do not necessarily constitute prior art.

[0003] Under the background of the continuous development and increasingly fierce competition in the medical industry, hospitals need to continuously improve their performance in various aspects such as management level, medical service quality, and operation efficiency.

[0004] Currently, mainly through expert experience judgment or simple data analysis methods, benchmark hospitals are determined from multiple hospitals; afterwards, the benchmark hospitals are used to guide the construction, management, and services of the remaining hospitals.

[0005] However, when determining benchmark hospitals currently, only the overall dimension evaluation of hospitals is carried out, so that the determined benchmark hospitals are the hospitals with the best overall evaluation. However, for each index participating in the evaluation, the benchmark hospitals are not necessarily the best among all the hospitals participating in the evaluation. Using such benchmark hospitals cannot provide optimal guidance for each index of the remaining hospitals; thus, the improvement effect of hospitals is limited. Summary of the Invention

[0006] In order to solve the above problems, the present invention proposes a hospital evaluation method and system based on a virtual benchmark hospital, which realizes the effective evaluation and effective guidance of target hospitals.

[0007] To achieve the above object, the present invention adopts the following technical solutions:

[0008] In the first aspect, a hospital evaluation method based on a virtual benchmark hospital is proposed, including:

[0009] Obtaining the evaluation basic data of multiple reference hospitals;

[0010] Extracting key index data from the evaluation basic data of all reference hospitals;

[0011] Determining the optimal data of each type of key index from the key index data of all reference hospitals;

[0012] Integrating the optimal data of all key indexes as the key index data of the virtual benchmark hospital;

[0013] Evaluating the target hospital according to the key index data of the virtual benchmark hospital to obtain the evaluation result of the target hospital.

[0014] Further, according to the evaluation criteria of the hospital, the optimal data of each type of key indicator are determined from the key indicator data of all reference hospitals.

[0015] Further, according to the key indicator data of the virtual benchmark hospital, the key indicator data of the target hospital and the target hospital as a whole are evaluated to obtain the evaluation result of the target hospital.

[0016] Further, the key indicator data of the target hospital are compared with the key indicator data of the virtual benchmark hospital to determine the gap between each key indicator of the target hospital and the virtual benchmark hospital; the gaps of all key indicators are weighted and integrated to obtain the overall gap between the target hospital and the virtual benchmark hospital; the overall gap between the target hospital and the virtual benchmark hospital and the gap between each key indicator of the two are used as the evaluation result of the target hospital.

[0017] Further, according to the evaluation result of the target hospital, improvement suggestions for the target hospital are determined;

[0018] According to the evaluation result and improvement suggestions of the target hospital, an analysis report of the target hospital is generated.

[0019] Further, all evaluation basic data are standardized;

[0020] The key indicator data are extracted from the standardized data.

[0021] In the second aspect, a hospital evaluation system based on a virtual benchmark hospital is proposed, including:

[0022] A data acquisition unit for acquiring the evaluation basic data of multiple reference hospitals;

[0023] A key indicator data extraction unit for extracting key indicator data from the evaluation basic data of all reference hospitals;

[0024] An optimal data determination unit for determining the optimal data of each type of key indicator from the key indicator data of all reference hospitals;

[0025] A virtual benchmark hospital determination unit for integrating the optimal data of all key indicators as the key indicator data of the virtual benchmark hospital;

[0026] A target hospital evaluation unit for evaluating the target hospital according to the key indicator data of the virtual benchmark hospital to obtain the evaluation result of the target hospital.

[0027] In the third aspect, a computer device is proposed, and the device includes:

[0028] A processor suitable for executing a computer program;

[0029] A computer-readable storage medium stores a computer program, and when the computer program is executed by a processor, it implements a hospital evaluation method based on a virtual benchmark hospital proposed in the first aspect.

[0030] In a fourth aspect, a computer-readable storage medium is proposed, which stores a computer program, and the computer program is suitable for being loaded and executed by a processor to implement a hospital evaluation method based on a virtual benchmark hospital proposed in the first aspect.

[0031] In a fifth aspect, a computer program product is proposed, which includes a computer program, and when the computer program is executed by a processor, it implements a hospital evaluation method based on a virtual benchmark hospital proposed in the first aspect.

[0032] Compared with the prior art, the beneficial effects of the present invention are as follows:

[0033] The present invention proposes a hospital evaluation method and system based on a virtual benchmark hospital. The method extracts key index data from the evaluation basic data of all reference hospitals; determines the optimal data of each type of key index from the key index data of all reference hospitals; integrates the optimal data of all key indexes as the key index data of the virtual benchmark hospital; and evaluates the target hospital according to the key index data of the virtual benchmark hospital to obtain the evaluation result of the target hospital. By determining the optimal data of each type of key index from all the key index data as the key index data of the virtual benchmark hospital, it is ensured that each key index data of the virtual benchmark hospital is optimal. When using this virtual benchmark hospital to evaluate the target hospital, it ensures the accuracy of the overall evaluation of the target hospital and each index, and thus can effectively guide the target hospital.

[0034] Advantages of additional aspects of the present invention will be partially given in the following description, partially become apparent from the following description, or be understood through the practice of the present invention. BRIEF DESCRIPTION OF THE DRAWINGS

[0035] The specification drawings forming a part of this application are used to provide a further understanding of this application. The schematic embodiments of this application and their descriptions are used to explain this application and do not constitute an improper limitation of this application.

[0036] Figure 1 A flowchart of a hospital evaluation method based on a virtual benchmark hospital disclosed in an embodiment;

[0037] Figure 2 An architecture diagram of a hospital evaluation method based on a virtual benchmark hospital disclosed in an embodiment;

[0038] Figure 3Analysis Report of a Hospital Evaluation Method Based on a Virtual Benchmark Hospital Disclosed in the Embodiment;

[0039] Figure 4 Improvement Strategies Disclosed in the Embodiment. Detailed Implementation Manner

[0040] The present invention will be further described below in conjunction with the accompanying drawings and embodiments.

[0041] It should be noted that the following detailed description is exemplary and is intended to provide further illustration of the present application. Unless otherwise specified, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the technical field to which the present application belongs.

[0042] It should be noted that the terms used herein are only for describing the specific implementation manner and are not intended to limit the exemplary embodiments according to the present application. As used herein, unless the context clearly indicates otherwise, the singular form is also intended to include the plural form. In addition, it should be understood that when the terms "comprising" and / or "including" are used in this specification, they indicate the presence of features, steps, operations, devices, components, and / or combinations thereof.

[0043] In the case of no conflict, the embodiments in the present invention and the features in the embodiments may be combined with each other.

[0044] Embodiment 1

[0045] In order to achieve accurate evaluation and effective guidance for the target hospital, in this embodiment, a hospital evaluation method based on a virtual benchmark hospital is disclosed, as Figures 1 - 4 shown, including:

[0046] Obtain the evaluation basic data of multiple reference hospitals;

[0047] Extract the key index data from the evaluation basic data of all reference hospitals;

[0048] Determine the optimal data of each type of key index from the key index data of all reference hospitals;

[0049] Integrate the optimal data of all key indexes as the key index data of the virtual benchmark hospital;

[0050] Evaluate the target hospital according to the key index data of the virtual benchmark hospital to obtain the evaluation result of the target hospital.

[0051] In order to achieve a comprehensive and effective evaluation of the target hospital in this embodiment, the evaluation basic data of multiple reference hospitals is obtained from the cloud health data platform.

[0052] The evaluation basic data of each reference hospital include the data on the front page of the patient's medical record, the settlement list data sent to the medical insurance bureau, the settlement details data feedback by the medical insurance bureau, and all the order execution details data during the patient's hospitalization.

[0053] Among them, each evaluation basic data is data after desensitization and privacy protection.

[0054] After obtaining the evaluation basic data of the reference hospital in this embodiment, the data is cleaned, the integrity of the data is checked, and missing values are processed. For example, for a small amount of missing data, mean filling, median filling, or prediction filling based on other relevant indicators can be used; for data with obvious errors or anomalies, such as negative medical insurance settlement amounts, they are corrected or deleted.

[0055] After that, all the evaluation basic data after cleaning and processing are standardized; key indicator data are extracted from the standardized data.

[0056] The process of standardizing the data includes: converting all data according to a unified format and standard. For example, the date format, data unit, etc. are unified to ensure that all data can be compared and analyzed on the same dimension. At the same time, the numerical data is normalized to make the data of different indicators comparable. For example, various expense data are normalized to the interval [0,1].

[0057] The key indicator data extracted in this embodiment all include medical efficiency, hospital medical safety, medical capacity data, and hospital operation data, etc.

[0058] Medical efficiency data includes data such as time consumption index, expense consumption index, time consumption per weight, and expense consumption per weight.

[0059] Hospital medical safety data includes data such as mortality rate, low-risk mortality rate, high-risk cure rate, and CC / MCC. CC is complication or comorbidity; MCC is severe complication or comorbidity.

[0060] Medical capacity data includes data such as CMI (Consumer Medication Information), disease group structure, and proportion of surgical operations, etc.

[0061] Hospital operation data includes data such as expense structure composition, drug proportion, consumable proportion, inspection and test proportion, medical resource utilization rate, and proportion of medical service income, etc.

[0062] In order to accurately evaluate and effectively guide the target hospital in this embodiment, after obtaining the key indicator data of each reference hospital, according to the hospital evaluation criteria, the optimal data of each type of key indicator are determined from the key indicator data of all reference hospitals.

[0063] The evaluation criteria for the hospitals here are formulated based on expert experience; the optimal data determined using these evaluation criteria represents that the hospital has the best performance in this indicator. For example: the smaller the mortality rate, the better the data; the larger the high-risk cure rate, the better the data; the larger the CC / MCC, the better the data, etc. Therefore, the minimum value is selected from the mortality rates of all reference hospitals as the optimal data for the mortality rate; the maximum value is selected from all high-risk cure rates as the optimal data for the high-risk cure rate; the maximum value is selected from all CC / MCCs as the optimal data for CC / MCC, and so on.

[0064] Preferably, by traversing the key indicator data of all reference hospitals, the optimal data for each type of key indicator is determined.

[0065] The optimal data for each type of key indicator selected is combined as the key indicator data of the virtual benchmark hospital, forming a virtual benchmark hospital model; this virtual benchmark hospital model represents the hospital model when all key indicators reach the best state in the current dataset. The data of the virtual benchmark hospital model can be stored in a structured data table for convenient comparison with the target hospital later.

[0066] After obtaining the virtual benchmark hospital model in this embodiment, the virtual benchmark hospital model is used to evaluate the target hospital, including: evaluating the key indicator data and the overall target hospital according to the key indicator data of the virtual benchmark hospital to obtain the evaluation result of the target hospital.

[0067] The process of obtaining the key indicator data of the target hospital is the same as that of the reference hospital, and the key indicator data of the target hospital is consistent with the data in the virtual benchmark hospital model, including data definition and calculation methods, etc.

[0068] In this embodiment, the key indicator data of the target hospital is compared with the key indicator data of the virtual benchmark hospital to determine the gap between each key indicator of the target hospital and the virtual benchmark hospital; the gaps of all key indicators are weighted and fused to obtain the overall gap between the target hospital and the virtual benchmark hospital; the overall gap between the target hospital and the virtual benchmark hospital and the gap between each key indicator of the two are used as the evaluation result of the target hospital.

[0069] For example: the CC / MCC of the virtual benchmark hospital is 40%, and the CC / MCC of the target hospital is 30%, then the CC / MCC gap between the target hospital and the virtual benchmark hospital is 10%, and the target hospital still has 10% room for improvement in CC / MCC.

[0070] When performing weighted fusion on the gaps of each key indicator, the weights are determined according to expert consultation and the analytic hierarchy process to obtain the weight coefficients of each dimension and indicator. For example, the weight of the dimension of time consumption index is 0.4, and the weight of the cost consumption index is 0.6, etc.

[0071] This embodiment can present these gaps in the form of percentages or specific values, clearly showing the differences between the target hospital and the virtual benchmark hospital model in each indicator.

[0072] After obtaining the evaluation results of the target hospital, this embodiment also determines improvement suggestions for the target hospital according to the evaluation results. For example, if there is a large room for improvement in the utilization efficiency of medical resources in the target hospital, improvement strategies such as optimizing the hospital bed allocation process and strengthening cost management are recommended; according to the evaluation results and improvement suggestions of the target hospital, an analysis report of the target hospital is generated; the content of the report includes the comparison of each dimension, the analysis of the reasons for the gaps, improvement suggestions and strategies, etc., providing a comprehensive and systematic reference basis for the management decision-making of the target hospital.

[0073] As Figure 3 shown, in addition to including the analysis reports of each key indicator, the analysis report generated by this embodiment also includes the annual analysis report of the hospital, the monthly analysis report of the hospital, the monthly analysis report of each department, and the operation analysis report of each special topic.

[0074] Among them, the annual analysis report of the hospital includes the overall gap between the target hospital and the virtual benchmark hospital obtained based on the evaluation basic data of the target hospital and the reference hospital within the year, and the gaps between each key indicator.

[0075] The monthly analysis report of the hospital includes the overall gap between the target hospital and the virtual benchmark hospital obtained based on the evaluation basic data of the target hospital and the reference hospital within the month, and the gaps between each key indicator.

[0076] The monthly analysis report of each department includes extracting the key indicator data involved in the department from the key indicator data obtained based on the evaluation basic data of the target hospital and the reference hospital within the month; according to the extracted key indicator data involved in the department, calculating the overall gap between the department of the target hospital and the corresponding department of the virtual benchmark hospital and the gaps between each key indicator involved in the department; among them, the overall gap between departments is the weighted fusion result of the gaps between each key indicator involved in the department.

[0077] The operation analysis reports for each specialty of the hospital include extracting the key indicator data related to the operation of the specialty from the key indicator data obtained based on the evaluation basic data of the target hospital and the reference hospital; according to the extracted key indicator data related to the operation of the specialty, calculating the overall gap between the operation of the specialty of the target hospital and the corresponding specialty operation of the virtual benchmark hospital and the gaps between the key indicators involved in the operation of the specialty; among them, the overall gap between the specialty operations is the weighted fusion result of the gaps between the key indicators involved in the operation of the specialty.

[0078] As Figure 4 shown, the generated improvement suggestions include short-term strategies, medium-term strategies, and long-term strategies; among them, the short-term strategies include organizational structure construction, operation management workflow construction, laying a good data foundation construction, standardizing the filling of the front page, and strengthening the review of settlement lists, etc. For example, the in-process and post-event review system for settlement lists. The short-term goal aims to solve problems such as insufficient policy awareness in the target hospital, lack or lack of rationality and effectiveness in the operation management organizational structure, and low data quality.

[0079] The medium-term strategies include optimizing the cost structure, reducing the cost of medicine, promoting appropriate technologies in traditional Chinese medicine, rehabilitation, and instrumentation, increasing service income, and introducing DRG / DIP performance, etc.; for example, the control plan for proprietary Chinese medicines, the treatment plan for instrumentation, the treatment plan for traditional Chinese medicine and rehabilitation, etc. The medium-term goal aims to solve problems such as unreasonable hospital cost structure, low effective income, high ineffective income, and lack of effective medical methods to improve service quality.

[0080] The long-term strategies include improving the CMI of disciplines, enhancing the ability to carry out surgeries, disease classification management, strengthening patient follow-up, and attaching importance to teaching and research, etc.; the long-term goal aims to solve problems such as insufficient technical capabilities and weak disciplinary capabilities in the target hospital.

[0081] In this embodiment, the gaps between the target hospital and the virtual benchmark hospital model in various aspects can be visually presented in the form of tables or charts in the analysis report. For example, using a bar chart to show the gaps of different indicators, with the abscissa being the indicator name and the ordinate being the gap value; or using a radar chart to more comprehensively show the overall gap situation of multiple indicators.

[0082] After generating the analysis report, the operation management of the hospital can be carried out according to the analysis report.

[0083] A hospital evaluation based on a virtual benchmark hospital disclosed in this embodiment, by screening out the optimal data of each key indicator from the key indicator data of the reference hospital data, forms a virtual benchmark hospital model, ensuring that each key indicator of the virtual benchmark hospital is an optimal key indicator; when using this virtual benchmark hospital model for target hospital evaluation, it ensures the accuracy of the target hospital evaluation and is conducive to the improvement of the target hospital.

[0084] In addition, the disclosed method in this embodiment can clearly determine the specific gap values or similarity degrees between the target hospital and the virtual benchmark hospital in various key dimensions, such as medical quality, management efficiency, patient service experience, etc., enabling hospital managers to intuitively understand their own deficiencies. For example, in terms of medical quality, the gaps in indicators such as disease cure rate and complication incidence rate can be accurately compared, thus clarifying the improvement direction.

[0085] It can also provide a scientific basis for decision-making: Based on the analysis results of multi-dimensional data, it provides quantitative and scientific support for the decision-making of the target hospital in aspects such as resource allocation adjustment, management process optimization, technology introduction and innovation. For example, according to the comparative analysis, the reasonable proportional relationship between the staffing and business volume of a certain department in the virtual benchmark hospital is found, and then it provides a reference for its own human resource planning.

[0086] Promote the continuous improvement of the target hospital: Due to the clear virtual benchmark reference, the target hospital can formulate a targeted continuous improvement plan and continuously compare and monitor the improvement effect during the implementation process, forming a dynamic virtuous cycle. For example, in the patient service dimension, by comparing indicators such as waiting time and patient satisfaction, the service process is continuously optimized and the service quality is improved.

[0087] It can conduct industry trend insight: Through the comparative analysis with the virtual benchmark hospital, it helps the target hospital to timely understand the development trends of advanced management concepts, technology applications, service models, etc. in the industry, layout and adjust strategies in advance, and maintain adaptability and foresight in industry competition. For example, the successful experience of the benchmark hospital in the application of digital medical technology can prompt the target hospital to accelerate the introduction and application of relevant technologies.

[0088] Improve the resource utilization efficiency: The comparison in the resource utilization dimension can find differences in aspects such as bed turnover rate and equipment utilization rate, thus helping the hospital to reasonably plan resources, avoid resource idleness or over-waste, and achieve the maximization of resource benefits.

[0089] It should be noted that the acquisition of all data is based on compliance with laws and regulations and user consent, and the data is legally applied.

[0090] Embodiment 2

[0091] In this embodiment, a hospital evaluation system based on a virtual benchmark hospital is disclosed, including:

[0092] A data acquisition unit for acquiring the evaluation basic data of multiple reference hospitals;

[0093] A key index data extraction unit for extracting key index data from the evaluation basic data of all reference hospitals;

[0094] An optimal data determination unit for determining the optimal data of each type of key indicator from the key indicator data of all reference hospitals;

[0095] A virtual benchmark hospital determination unit for integrating the optimal data of all key indicators as the key indicator data of the virtual benchmark hospital;

[0096] A target hospital evaluation unit for evaluating the target hospital according to the key indicator data of the virtual benchmark hospital to obtain the evaluation result of the target hospital.

[0097] The present invention also discloses a computer device, which includes:

[0098] A processor suitable for executing a computer program;

[0099] A computer-readable storage medium storing a computer program, which when executed by the processor, implements a hospital evaluation method based on a virtual benchmark hospital disclosed in Embodiment 1.

[0100] The present invention also discloses a computer-readable storage medium storing a computer program, which is suitable for being loaded and executed by a processor to implement a hospital evaluation method based on a virtual benchmark hospital disclosed in Embodiment 1.

[0101] The present invention also discloses a computer program product, which includes a computer program, which when executed by a processor, implements a hospital evaluation method based on a virtual benchmark hospital disclosed in Embodiment 1.

[0102] The method disclosed in Embodiment 1 can be directly embodied as being executed by a hardware processor, or by a combination of hardware and software modules in the processor. The software modules can be located in mature storage media in the art such as random access memory, flash memory, read-only memory, programmable read-only memory, or electrically erasable programmable memory, registers, etc. This storage medium is located in the memory, and the processor reads the information in the memory and combines its hardware to complete the steps of the above method. To avoid repetition, it will not be described in detail here.

[0103] Those of ordinary skill in the art can realize that the units and algorithm steps of each example described in combination with this embodiment can be implemented by electronic hardware or a combination of computer software and electronic hardware. Whether these functions are executed in a hardware or software manner depends on the specific application and design constraints of the technical solution. Professional technicians can use different methods for each specific application to implement the described functions, but such implementation should not be considered to exceed the scope of this application.

[0104] Although the specific embodiments of the present invention have been described above in conjunction with the accompanying drawings, it is not a limitation on the protection scope of the present invention. Those skilled in the art should understand that various modifications or deformations that can be made without creative efforts on the basis of the technical solutions of the present invention are still within the protection scope of the present invention.

Claims

1. A hospital evaluation method based on a virtual benchmark hospital, characterized in that: include: Obtain basic evaluation data from multiple reference hospitals; Extract key indicator data from the evaluation basic data of all reference hospitals; Determine the optimal data for each key indicator from the key indicator data of all reference hospitals; Integrate the best data of all key indicators as the key indicator data of the virtual benchmark hospital; According to the key indicator data of the virtual benchmark hospital, the target hospital is evaluated to obtain the evaluation result of the target hospital.

2. A hospital evaluation method based on a virtual benchmark hospital as claimed in claim 1, characterized in that: According to the hospital's evaluation criteria, the optimal data for each key indicator is determined from the key indicator data of all reference hospitals.

3. A hospital evaluation method based on a virtual benchmark hospital as claimed in claim 1, characterized in that: Based on the key indicator data of the virtual benchmark hospital, the key indicator data of the target hospital and the target hospital as a whole are evaluated to obtain the evaluation results of the target hospital.

4. A hospital evaluation method based on a virtual benchmark hospital as claimed in claim 3, characterized in that: Compare the key indicator data of the target hospital with the key indicator data of the virtual benchmark hospital to determine the gap in each key indicator between the target hospital and the virtual benchmark hospital; weightedly integrate the gaps of all key indicators to obtain the overall gap between the target hospital and the virtual benchmark hospital; take the overall gap between the target hospital and the virtual benchmark hospital and the gap in each key indicator between the two as the evaluation result of the target hospital.

5. The hospital evaluation method based on a virtual benchmark hospital according to claim 1, characterized in that: Improvement suggestions for the target hospital are also determined based on the evaluation results of the target hospital; Generate an analysis report of the target hospital based on the evaluation results and improvement suggestions of the target hospital.

6. A hospital evaluation method based on a virtual benchmark hospital as claimed in claim 1, characterized in that: Standardize all evaluation basic data; Extract key indicator data from the standardized data.

7. A hospital evaluation system based on a virtual benchmark hospital, characterized in that: include: A data acquisition unit, used to acquire basic evaluation data of multiple reference hospitals; A key indicator data extraction unit is used to extract key indicator data from the evaluation basic data of all reference hospitals; An optimal data determination unit, used to determine the optimal data of each type of key indicator from the key indicator data of all reference hospitals; The virtual benchmark hospital determination unit is used to integrate the optimal data of all key indicators as the key indicator data of the virtual benchmark hospital; The target hospital evaluation unit is used to evaluate the target hospital based on the key indicator data of the virtual benchmark hospital and obtain the evaluation result of the target hospital.

8. An electronic device, characterized in that: The device comprises: a processor adapted to execute a computer program; A computer-readable storage medium, wherein a computer program is stored in the computer-readable storage medium, and when the computer program is executed by the processor, the hospital evaluation method based on a virtual benchmark hospital as described in any one of claims 1 to 6 is implemented.

9. A computer-readable storage medium, characterized in that: The computer-readable storage medium stores a computer program, and the computer program is suitable for being loaded by a processor and executing a hospital evaluation method based on a virtual benchmark hospital as described in any one of claims 1-6.

10. A computer program product, characterized in that The computer program product includes a computer program, and when the computer program is executed by a processor, it implements the hospital evaluation method based on a virtual benchmark hospital as described in any one of claims 1 to 6.

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