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基于“智慧卫监”平台的中医医疗机构非接触式执法模式探索

Exploration on the non-contact law enforcement model of Traditional Chinese Medicine medical institutions based on the“Smart Health Supervision”platform
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摘要 传统的现场监管模式无法匹配中医诊疗服务专业性强的要求,运用非接触式执法模式已成为加强中医医疗机构监管的必然趋势。基于“智慧卫监”平台建设,上海市全面归集医疗机构监管信息,梳理形成4大类21个中医医疗机构数字化监管要点,构建预警服务类和异常处置类风险预警模式与处置反馈机制,探索形成以“全景展示—问题挖掘—风险预警—及时处置—反馈评估”为特征的闭环监管模式。结合上海市“智慧卫监”平台建设实践,提出畅通诊疗数据采集共享、拓展非接触式执法应用场景、加强适应数字化转型要求的中医监督执法人才培养、完善以信用监管为基础的差异化监管措施等建议,为进一步完善中医医疗机构非接触式执法模式、提升监管效能提供参考。 The traditional supervision mode can not match the professional requirements of Traditional Chinese Medicine.The application of non-contact law enforcement has become an inevitable trend to strengthen the supervision of Traditional Chinese Medicine medical institutions.Based on the construction of the“Smart Health Supervision”,Shanghai has collected the supervision information,sorted out 21 key regulatory points in 4 categories,constructed the early warning and disposal feedback mechanism,explored the formation of a closed-loop supervision model characterized by“panoramic display-problem mining-risk early warning-timely disposal-feedback evaluation”.Combined with the construction practice of the“Smart Health Supervision”platform,it proposes to smooth the collection and sharing of diagnosis and treatment data,expand the application scenarios of non-contact law enforcement,strengthen the training of supervision and law enforcement personnel adapting to the requirements of digital transformation,improve the differentiated regulatory measures based on credit supervision,providing reference for improving the non-contact law enforcement mode and the regulatory efficiency.
作者 方圆 朱亚捷 唐燕 FANG Yuan;ZHU Yajie;TANG Yan(Supervision Institute of Shanghai Municipal Health Commission,Shanghai 200031,China)
出处 《中国公共卫生管理》 2024年第5期712-714,共3页 Chinese Journal of Public Health Management
基金 上海市“医苑新星”青年医学人才培养资助计划(2023年) 上海市卫生健康委员会中医药监管能力培育项目(ZYYJGNLPY-10)。
关键词 中医医疗机构 非接触式执法 智慧卫监 Traditional Chinese Medicine medical institutions non-contact law enforcement Smart Health Supervision
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