A rapid-learning health system
A rapid-learning health system
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DOI：
10.1377/hlthaff.26.2.w107
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发表时间：
2007-03-01
期刊：
影响因子：
9.7
通讯作者：
Etheredge, Lynn M.
中科院分区：
文献类型：
--
作者：
Etheredge, Lynn M.
私营和公共部门的举措，使用来自数百万人的电子健康记录（EHR）数据库，可以迅速推进美国临床护理的证据基础。快速学习可以填补有关医疗保健成本、药物和程序的益处和风险、地理差异、环境健康影响、特殊人群健康和个性化医疗的主要知识空白。政策制定者可以利用快速学习来重振基于价值的竞争，重新设计医疗保险的支付，将医疗补助提升到国家医疗保健的领导地位，促进国家合作研究计划，并设计国家技术评估系统。
Private- and public-sector initiatives, using electronic health record (EHR) databases from millions of people, could rapidly advance the U.S. evidence base for clinical care. Rapid learning could fill major knowledge gaps about health care costs, the benefits and risks of drugs and procedures, geographic variations, environmental health influences, the health of special populations, and personalized medicine. Policymakers could use rapid learning to revitalize value-based competition, redesign Medicare's payments, advance Medicaid into national health care leadership, foster national collaborative research initiatives, and design a national technology assessment system.