Real World Data in Adaptive Biomedical Innovation: A Framework for Generating Evidence Fit for Decision-Making

Project Title Real World Data in Adaptive Biomedical Innovation: A Framework for Generating Evidence Fit for Decision-Making
Date
Thursday, December 1, 2016
Location

Clin Pharmacol Ther; Volume100, Issue 6, Dec 2016, Pages 633-646. doi: 10.1002/cpt.512. 

Description

Analyses of healthcare databases (claims, electronic health records [EHRs]) are useful supplements to clinical trials for generating evidence on the effectiveness, harm, use, and value of medical products in routine care. A constant stream of data from the routine operation of modern healthcare systems, which can be analyzed in rapid cycles, enables incremental evidence development to support accelerated and appropriate access to innovative medicines.

Corresponding Author

S. Schneeweiss, Division of Pharmacoepidemiology (DoPE), Department of Medicine, Brigham & Women's Hospital, Boston, Massachusetts, USA. Email: schneeweiss@post.harvard.edu

Authors

Sebastian Schneeweiss MD, ScD; Hans Georg Eichler MD, MSc; Anna Garcia-Altes; Chris Chinn; Anne-Virginie Eggimann; Sarah E. Garner; W. Goettsch; Robyn R. Lim; W. Löbker; David Martin MD, MPH; T. Müller; B.J. Park; Richard Platt MD, MSc; Sarah A. Priddy; Michael Ruhl; Almoth Spooner; B Vannieuwenhuyse; Richard J Willke

Publication Type
Publication
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