Countermeasures Research on the Continuous Optimization of Rational Drug Use Quality Control Model Assisted by Big Data Technology
This paper analyzes the problems during the application of existing medical big data and gives corresponding solutions by integrating the human,information system,data and other resources of the hospital.Combined with the PDCA cycle management model,it improves the management mechanism,explores the construction standards,and builds a set of intelligent full-closed-loop rational medication BI intelligent management platform integrated with data quality.According to the roles and responsibilities of medical staff,it authorizes the corresponding data use authority,optimizes the workflow,improves the evaluation system,and realizes the closed-loop quality control process of prior warning,monitoring and evaluation for the rational use of medication.At the same time,its practical experience has important reference significance for the governance and application of medical big data,which provides data support and technical guarantee for the scientific,standardized and refined management of hospitals.
medical big datainformation systemquality control managementdata qualitybig data technology
万方数据
