Differences in Medication Fill Metrics in the Electronic Health Records and Linked Claims Data Among Population Covered by Different Types of Insurance

Poster Number: P199
Presentation Time: 05:00 PM - 06:30 PM

Abstract Keywords: Population Health, Real-World Evidence Generation, Clinical Decision Support
Primary Track: Foundations
Programmatic Theme: Clinical Informatics

This study stresses the importance of evaluating the accuracy of medication fill data from pharmacy/EHR linkage with claims data for reliable point-of-care interventions. We present retrospective findings from Johns Hopkins Health Plans patients, comparing medication metrics from EHR and claims data across payers. Our results underscore the utility of linked EHR-pharmacy data for measuring medication adherence, complexity, and high-caution. However, insurance-specific variations raise questions about adequacy of EHR-pharmacy or claims data for population-based medication metrics.

Speaker(s):
Chintan Pandya, PhD, MPH, MBBS
Johns Hopkins University

Author(s):
Chintan Pandya, PhD, MPH, MBBS - Johns Hopkins University; Bayan Hijazi, PhD - Johns Hopkins University; Christopher Kitchen, MS; Thomas Richards, MS - Johns Hopkins University; Klaus Lemke, PhD - Johns Hopkins University; Jonathan Weiner, DrPH - Johns Hopkins University; Hadi Kharrazi, MD, PhD, FAMIA, FACMI - Johns Hopkins University;