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数据丰富,信息匮乏:我们能否利用电子健康记录为制药行业创建学习型医疗保健系统?

Data Rich, Information Poor: Can We Use Electronic Health Records to Create a Learning Healthcare System for Pharmaceuticals?

机构信息

European Medicines Agency, London, UK.

Medical University of Vienna, Vienna, Austria.

出版信息

Clin Pharmacol Ther. 2019 Apr;105(4):912-922. doi: 10.1002/cpt.1226. Epub 2018 Oct 14.

Abstract

Judicious use of real-world data (RWD) is expected to make all steps in the development and use of pharmaceuticals more effective and efficient, including research and development, regulatory decision making, health technology assessment, pricing, and reimbursement decisions and treatment. A "learning healthcare system" based on electronic health records and other routinely collected data will be required to harness the full potential of RWD to complement evidence based on randomized controlled trials. We describe and illustrate with examples the growing demand for a learning healthcare system; we contrast the exigencies of an efficient pharmaceutical ecosystem in the future with current deficiencies highlighted in recently published Organisation for Economic Co-operation and Development (OECD) reports; and we reflect on the steps necessary to enable the transition from healthcare data to actionable information. A coordinated effort from all stakeholders and international cooperation will be required to increase the speed of implementation of the learning healthcare system, to everybody's benefit.

摘要

明智地利用真实世界数据(RWD)有望使药品开发和使用的所有步骤更加有效和高效,包括研究和开发、监管决策、卫生技术评估、定价和报销决策以及治疗。为了充分发挥 RWD 的潜力,以补充基于随机对照试验的证据,需要建立一个基于电子健康记录和其他常规收集数据的“学习型医疗保健系统”。我们用实例描述和说明了对学习型医疗保健系统不断增长的需求;我们对比了未来高效制药生态系统的紧迫性与经合组织(OECD)最近发布的报告中突出显示的当前不足之处;我们还思考了使从医疗保健数据到可操作信息的转变成为可能所需的步骤。需要所有利益相关者的协调努力和国际合作来提高学习型医疗保健系统的实施速度,使每个人受益。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fbad/6587701/8df26b10d450/CPT-105-912-g001.jpg

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