大数据赋能集采药品全流程监测系统的实践与思考

卓绮雯; 孙涛; 李晓彤; 朱仁; 陈丹丹; 陈潜

doi:10.19546/j.issn.1674-3830.2022.4.017

中国医疗保险 ›› 2022, Vol. 0 ›› Issue (4) : 78-82. DOI: 10.19546/j.issn.1674-3830.2022.4.017

智慧医保

大数据赋能集采药品全流程监测系统的实践与思考

卓绮雯, 孙涛, 李晓彤, 朱仁, 陈丹丹, 陈潜

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Practice and Consideration over Whole Process Monitoring System for Centralized Drug Procurement Empowered by Big Data

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文章历史 +

摘要

深圳药品交易平台以集采政策和实际监管需求为指导,结合闭环管理思路,以大数据赋能为手段,建设了国家集采药品PDCA全流程监测系统。通过大数据治理分析,实现监测技术闭环,提升了监测效率,使国家集采任务得到有效落实。

Abstract

Guided by policies and actual regulatory requirements as well as the idea of closed-loop management, Shenzhen Medicine Trading Platform has built a PDCA whole process monitoring system for centralized drug procurement with big data empowerment. Through big data analysis, closed-loop monitoring technology is realized, monitoring efficiency is improved, and the national centralized procurement task is effectively implemented.

导出引用

卓绮雯, 孙涛, 李晓彤, 朱仁, 陈丹丹, 陈潜. 大数据赋能集采药品全流程监测系统的实践与思考[J]. 中国医疗保险. 2022, 0(4): 78-82 https://doi.org/10.19546/j.issn.1674-3830.2022.4.017

Practice and Consideration over Whole Process Monitoring System for Centralized Drug Procurement Empowered by Big Data[J]. China Health Insurance. 2022, 0(4): 78-82 https://doi.org/10.19546/j.issn.1674-3830.2022.4.017

中图分类号： F840.684 C913.7

参考文献

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