Online Program Home
My Program

Abstract Details

Activity Number: 401 - Lead with Statistics: Case Studies and Methods for Learning and Improving Healthcare Through EHRs
Type: Topic Contributed
Date/Time: Tuesday, July 31, 2018 : 2:00 PM to 3:50 PM
Sponsor: Biometrics Section
Abstract #328626 Presentation
Title: If it Is in the Electronic Health Record, Then it Must Be True
Author(s): Jareen Meinzen-Derr*
Companies: Cincinnati Children's Hospital Med Center
Keywords: EHR; electronic health record; study design; epidemiology; methods; Electronic medical record

According to the IOM, the electronic health record (EHR) is a longitudinal collection of electronic health information for and about persons used to support efficient processes for health care delivery. As the adoption of EHR has significantly increased, large quantities of structured, coded, electronic data are available for clinical research. Opportunities span quality improvement of clinical care, study recruitment, public health initiatives, replicating results of trials, and big data research. However, EHR-based research is more challenging than traditional retrospective studies. Records are frequently inaccurate, incomplete, and data are complex. A thorough understanding of traditional epidemiologic approaches to study designs for the use of EHR data are essential for optimizing our ability for reproducible research. The impact of poor data quality, poorly designed studies, and bias and confounding play a significant role in causal inference using EHR data. We will highlight the significant challenges with designing and implementing EHR-based studies, including examples from the literature regarding the impact pitfalls have on our ability to interpret findings.

Authors who are presenting talks have a * after their name.

Back to the full JSM 2018 program