Using Aggregate Electronic Healthcare Record Data to Reproduce Large Scale Prospective Clinical Trials

Presentation Time: 04:45 PM - 05:00 PM

Abstract Keywords: Data Mining, Data Sharing, Real-World Evidence Generation, Chronic Care Management, Clinical Guidelines, Interoperability and Health Information Exchange
Primary Track: Foundations
Programmatic Theme: Clinical Research Informatics

This is a study aimed to validate the findings of the ALLHAT hypertension study using aggregate electronic health record (EHR) data from Epic Cosmos Data Network. Recreating the study criteria using over 62 million patient records, comparisons were made between amlodipine, lisinopril, chlorthalidone, and doxazosin regarding stroke, acute heart failure, and cardiovascular disease. Overall, the EHR data supported most ALLHAT findings, suggesting its potential for retrospective studies and novel conclusions.

Speaker(s):
Allan Kerandi, MD
MetroHealth

Author(s):
Craig Jarrett, MD/MBA - University Hospitals Cleveland; Katherine Liang, MD - MetroHealth; Kiron Nair, MD - MetroHealth; Edward Horwitz, MD - Case Western Reserve University/The MetroHealth System; Crystal Mosca, MD - University Hospitals Cleveland; Jeffrey Sunshine, MD, PhD - University Hospitals Cleveland; David Kaelber, MD, PhD, MPH - Case Western Reserve University/The MetroHealth System;