Operation level grading incentive issuing method for performance assessment

Abstract

The invention discloses an operation level grading incentive issuing method for performance appraisal, and belongs to the technical field of medical management technologies, and the method comprises the following steps: 1) a dynamic operation grading weight model: constructing a dynamic weight algorithm based on operation risks, technical difficulty, resource consumption and ethical risks, and adjusting the performance score of each operation in real time; 2) a multi-dimensional performance assessment index system: integrating a technical dimension index and a quality dimension index, and weighting each index through a machine learning model to realize personalized assessment; 3) blockchain-driven incentive issuing: recording operation data and an assessment result by using a blockchain technology; through the dynamic operation grading weight model, the multi-dimensional performance assessment index system, the blockchain-driven incentive distribution and the cross-hospital collaborative incentive pool, the enthusiasm of high-difficulty operation development is improved, the medical resource allocation is optimized, the risk of heavy quantity and light quality is reduced, and the data credibility and incentive fairness are enhanced.

Description

Technical Field

[0001] The present invention belongs to the technical field of medical management, and particularly relates to a method for grading and incentive distribution of surgical levels for performance appraisal. Background Art

[0002] For the surgical grading catalog of hospital performance appraisal, surgical items are extracted from the hospital information system, and the third- and fourth-level surgeries that meet the performance appraisal grading catalog are further divided into files, and the remaining surgical items are still implemented according to the hospital surgical grading, and the two do not overlap.

[0003] Currently, traditional surgical grading (such as four-level classification) is bound to doctor titles and hospital levels, resulting in limited development of high-difficulty surgeries in primary hospitals, and the incentive distribution does not dynamically adapt to surgical risks and effects. Existing appraisals are mostly based on the number of surgeries or success rates, ignoring comprehensive quality indicators such as postoperative complication rates and patient recovery periods. The incentive distribution depends on manual calculation, is easily affected by subjective factors, and it is difficult to trace data. Summary of the Invention

[0004] The purpose of the present invention is to propose a method for grading and incentive distribution of surgical levels for performance appraisal in order to solve the above-mentioned existing problems.

[0005] In order to achieve the above purpose, the present invention adopts the following technical scheme: A method for grading and incentive distribution of surgical levels for performance appraisal, which includes the following steps:

[0006] 1) Dynamic surgical grading weight model: Based on surgical risk, technical difficulty, resource consumption, and ethical risk, a dynamic weight algorithm is constructed to adjust the performance score of each surgery in real time;

[0007] 2) Multidimensional performance appraisal index system: Integrate technical dimension indicators and quality dimension indicators, and assign weights to each indicator through a machine learning model to achieve personalized appraisal;

[0008] 3) Blockchain-driven incentive distribution: Use blockchain technology to record surgical data and appraisal results to ensure that the data cannot be tampered with. The smart contract automatically executes the incentive distribution, and the bonus or promotion points are distributed in real time according to the dynamic weight calculation results;

[0009] 4) Cross-hospital collaborative incentive pool: Establish a regional surgical performance incentive pool to support doctors in different-level hospitals to participate in high-difficulty surgeries, and distribute incentive resources according to the contribution ratio.

[0010] As a further description of the above technical solution:

[0011] In step 2), the technical dimension indicators include surgical level and operation standardization, and the quality dimension indicators include patient satisfaction, postoperative follow-up rate, and recovery period. The quality dimension indicators include medical consumable cost control and operating room occupancy efficiency.

[0012] As a further description of the above technical solution:

[0013] In step 1), the basic score of the fourth-level operation is 100 points. If the postoperative complication rate is lower than the industry average, the weight is increased by 10%; if it is higher than the average, the weight is deducted.

[0014] As a further description of the above technical solution:

[0015] In step 1), the dynamic operation grading weight model adjusts the operation score in real time based on the postoperative complication rate, the patient's recovery period, and the unplanned readmission rate.

[0016] As a further description of the above technical solution:

[0017] In step 3), the blockchain-driven incentive distribution is used to record the hash value of the operation data to ensure the immutability of the data.

[0018] In summary, due to the adoption of the above technical solution, the beneficial effects of the present invention are as follows:

[0019] In the present invention, through the dynamic operation grading weight model, the multi-dimensional performance evaluation index system, the blockchain-driven incentive distribution, and the cross-hospital collaborative incentive pool, the enthusiasm for carrying out high-difficulty operations is improved, the allocation of medical resources is optimized, the risk of emphasizing quantity over quality is reduced, and the credibility of data and the fairness of incentives are enhanced. BRIEF DESCRIPTION OF THE DRAWINGS

[0020] Figure 1 It is a flowchart of a surgical level grading incentive distribution method for performance evaluation. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0021] Next, the technical solutions in the embodiments of the present invention will be clearly and completely described in conjunction with the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only a part of the embodiments of the present invention, rather than all the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those of ordinary skill in the art without creative efforts shall fall within the protection scope of the present invention.

[0022] Embodiment:

[0023] S01: Dynamic operation grading weight model: Based on surgical risk, technical difficulty, resource consumption, and ethical risk, a dynamic weight algorithm is constructed to adjust the performance score of each operation in real time; the dynamic operation grading weight model adjusts the operation score in real time based on the postoperative complication rate, the patient's recovery period, and the unplanned readmission rate; the basic score of the fourth-level operation is 100 points. If the postoperative complication rate is lower than the industry average, the weight is increased by 10%; if it is higher than the average, the weight is deducted;

[0024] S02: Multidimensional Performance Appraisal Index System: Integrate technical dimension indicators and quality dimension indicators, assign weights to each indicator through a machine learning model to achieve personalized assessment; technical dimension indicators include surgical level and operation standardization, and quality dimension indicators include patient satisfaction, postoperative follow-up rate, and rehabilitation period. Quality dimension indicators also include medical consumables cost control and operating room occupancy efficiency;

[0025] S03: Blockchain-Driven Incentive Distribution: Use blockchain technology to record surgical data and assessment results to ensure data immutability. Smart contracts automatically execute incentive distribution and allocate bonuses or promotion points in real-time according to the results of dynamic weight calculation;

[0026] S04: Cross-Hospital Collaborative Incentive Pool: Establish a regional surgical performance incentive pool to support doctors from different levels of hospitals to participate in high-difficulty surgeries and allocate incentive resources according to the contribution ratio.

[0027] Working Principle:

[0028] Data Acquisition Layer: Connect to the hospital HIS system to obtain the surgical classification directory, postoperative complication data, patient follow-up records, etc. in real-time;

[0029] Dynamic Calculation Layer: Input surgical level, doctor's title (such as resident doctor / attending doctor permission), and postoperative indicators, and process through the formula

[0030] S = ∑(W i ×F i )

[0031] Calculate the incentive score, where W i is the dynamic weight, and F i is the original value of the indicator, and output the doctor's personal performance report and incentive suggestions;

[0032] Blockchain Evidence Storage Layer: Upload surgical records and assessment results to the blockchain for auditing by hospital managers and health departments;

[0033] Cross-Hospital Collaborative Incentive Pool: For example, a tertiary hospital completes a radical gastrectomy (level IV surgery), and the postoperative complication rate is lower than the national average. The system automatically increases the weight of this surgery, and the doctor receives additional performance rewards; for example, a doctor from a secondary hospital participates in a level IV surgery through remote collaboration, and the incentive pool distributes rewards according to the contribution degree, breaking the hospital level limit.

[0034] Therefore, in terms of hierarchical relevance, it has changed from the binding of surgical grading with hospital level and professional title to the current dynamic weight adaptation of surgical risks and effects; in terms of assessment indicators, it has changed from a single quantity or success rate orientation to the current multi-dimensional quality-resource-technology comprehensive model; in terms of data transparency, it has changed from manual accounting, which is easy to tamper with, to the current blockchain evidence storage and automatic execution of smart contracts; in terms of incentive distribution, it has changed from a fixed ratio or hierarchical system to the current cross-hospital collaborative incentive pool, with dynamic distribution according to contributions.

[0035] The above are only the preferred specific embodiments of the present invention, but the protection scope of the present invention is not limited thereto. Any person skilled in the art within the technical scope disclosed by the present invention, according to the technical solution and inventive concept of the present invention, making equivalent substitutions or changes should be covered by the protection scope of the present invention.

Claims

1. A method for incentive distribution based on surgical level classification for performance appraisal, characterized in that: It includes the following steps: 1) Dynamic surgical grading weight model: Based on surgical risk, technical difficulty, resource consumption, and ethical risk, construct a dynamic weight algorithm to adjust the performance score of each operation in real time; 2) Multidimensional performance evaluation index system: Integrate technical dimension indicators and quality dimension indicators, assign weights to each indicator through a machine learning model, and achieve personalized evaluation; 3) Blockchain-driven incentive distribution: Use blockchain technology to record surgical data and evaluation results, ensure the data cannot be tampered with, and the smart contract automatically executes incentive distribution, and distributes bonuses or promotion points in real time according to the dynamic weight calculation results; 4) Cross-hospital collaborative incentive pool: Establish a regional surgical performance incentive pool to support doctors in different-level hospitals to participate in high-difficulty surgeries, and distribute incentive resources according to the contribution ratio.

2. The surgical level classification incentive distribution method for performance appraisal according to claim 1, characterized in that In step 2), the technical dimension indicators include the surgical level and operation standardization, and the quality dimension indicators include patient satisfaction, postoperative follow-up rate, and rehabilitation period. The quality dimension indicators include medical consumables cost control and operating room occupancy efficiency.

3. A method for incentive distribution of surgical level classification for performance appraisal according to claim 1, characterized in that In step 1), the basic score of a level-IV operation is 100 points. If the postoperative complication rate is lower than the industry average, the weight is increased by 10%; if it is higher than the average, the weight is deducted.

4. A method for incentive distribution of surgical level classification for performance appraisal according to claim 1, characterized in that In step 1), the dynamic surgical grading weight model adjusts the surgical score in real time based on the postoperative complication rate, patient rehabilitation period, and unplanned readmission rate.

5. A method for incentive payment based on the classification of surgical levels for performance appraisal according to claim 1, characterized in that, In step 3), the blockchain-driven incentive distribution is used to record the surgical data hash value to ensure the data cannot be tampered with.

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