Information Bias in Electronic Health Records and Administrative Claims Data: A Targeted Review of the Recent Literature.

Patrick J Arena¹, Yezhou Sun², Ashley Jaksa¹, Yu-Han Kao², Lara Yoon¹, Ke Meng², Arielle Marks-Anglin², Vladimir Turzhitsky²

¹Science, Aetion, a Datavant Company, New York, New York, USA.

²Biostatistics and Research Decision Sciences (BARDS), Merck & Co., Inc., Rahway, New Jersey, USA.

PubMed DOI

Abstract

Randomized clinical trials represent the primary source of evidence for regulatory and health technology assessment (HTA) decision making; however, the integration of real-world evidence (RWE) has increased in recent years. Despite its utility, RWE is often threatened by information bias, and the literature addressing measurement error in RWE remains underdeveloped. To address this gap, we conduct…

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