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Activity Number: 59 - Evidence-Generation via Big Data in the Real-World Setting
Type: Topic Contributed
Date/Time: Sunday, July 30, 2017 : 4:00 PM to 5:50 PM
Sponsor: Stats. Partnerships Among Academe, Indust. & Govt. Committee
Abstract #323169
Title: Evaluation the Quality of Electronic Health Record Data
Author(s): Ying Lu* and Hui Wang and Jennifer Shuwen Lee and Phiip S Tsao
Companies: Department of Biomedical Data Science, Stanford University School of Medicine and Palo Alto VA Health Care System and Stanford University and VA Palo Alto Health Care System and Stanford University and Palo Alto VA Health Care System
Keywords: Electronic Health Record ; Cooperative Data Warehouse ; Data Quality ; Process Control Chart ; VA Health Care System

There is a great enthusiasm to use electronic health record (EHR) data to conduct clinical research. However, most of EHR data from cooperate data warehouse (CDW) do not go through rigorous quality control processes as data collected from well controlled clinical studies. In this project, we investigated longitudinal EHR data from CDW and examined pattern of changes and suggested a quality index for individual observations. We evaluated the impact of including all versus only high quality data in association with a few clinical endpoints.

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

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