Opportunities and challenges in using real-world data for health care

Real-world data (RWD) continue to emerge as a new source of clinical evidence. Although the best-known use case of RWD has been in drug regulation, RWD are being generated and used by many other parties, including biopharmaceutical companies, payors, clinical researchers, providers, and patients. In...

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Bibliographic Details
Published in:	The Journal of clinical investigation 2020-02, Vol.130 (2), p.565-574
Main Authors:	Rudrapatna, Vivek A, Butte, Atul J
Format:	Article
Language:	eng
Subjects:	Alectinib Biomedical research Breast cancer Cancer therapies Ceritinib Clinical trials Computational linguistics Corporate sponsorship Delivery of Health Care Electronic health records Evidence-Based Practice FDA approval Humans Language processing Medical informatics Medical research Medicine, Experimental Natural language interfaces Natural language processing Palbociclib Patients Pharmaceutical industry Pharmaceuticals Regulatory approval Researchers Review Series Social networks Technology
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Summary:	Real-world data (RWD) continue to emerge as a new source of clinical evidence. Although the best-known use case of RWD has been in drug regulation, RWD are being generated and used by many other parties, including biopharmaceutical companies, payors, clinical researchers, providers, and patients. In this Review, we describe 21 potential uses for RWD across the spectrum of health care. We also discuss important challenges and limitations relevant to the translation of these data into evidence.
ISSN:	0021-9738 1558-8238