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Application of Data Mining in Performance Management of Public Hospitals

With the rapid development of computer technology, information technology covers all aspects of daily life, and the medical industry is also paying more attention to information construction. Conventional management methods have been unable to further improve the hospital’s management capabilities. At the same time, countries that are better in terms of hospital management practices have set a benchmark for mainland hospitals and reformed hospitals in order to stand out in the future. In addition to evaluating the economic benefits and work efficiency of doctors, hospitals must also consider that hospitals, as a special service industry, cannot be measured by economic indicators. Therefore, there is a multiparty game in the performance appraisal of hospitals, and it is necessary to consider not only economic factors but also the characteristics of public services. This article is based on the case of a large domestic tertiary hospital, combined with the hospital’s performance management reform plan, through the design idea of performance management and incentive performance pay distribution, using data mining technology as an auxiliary means. It successfully helped the hospital complete the performance and incentive performance pay aspects reform. The main research work of this paper is divided into the following three aspects. (1) Using data mining technology, according to each nursing unit’s workload, risk level, the difficulty of internship, and other objective factors in the past year for patient outpatient visits, surgery implementation, critical first aid, etc., are classified in line with the actual situation and provide a reliable basis for the reasonable and efficient allocation of hospital human resources. (2) In the performance management system, we integrate the third-party data mining tool weka to assist in the evaluation of the performance distribution plan and the calculation of the follow-up incentive performance pay. (3) We use the mathematical model of data mining to measure and evaluate the reasonableness of historical workload and performance appraisal, determine a new incentive performance pay distribution model, and use the software as a calculation tool for the internal distribution of performance wages to provide monthly incentive performance wage statistics in the future.