Use of Electronic Health Records for Clinical Research:
Issues of Study Design and Analysis
March 1 | 8:30am-5:30pm
8:30AM-9:00am: Breakfast and Check-in
9:00AM-5:30PM: Symposium
Armenise Amphitheater/ Harvard Medical School
This symposium will explore the complex issues involved in designing and analyzing studies that sample from the electronic health record.
SPEAKERS:
Tianxi Cai, ScD
Professor of Biostatistics, Harvard T.H. Chan School of Public Health
Professor of Biomedical Informatics, Harvard Medical School
EFFICIENT USE OF EHR FOR DISCOVERY RESEARCH
Victor M. Castro, MS
Team Lead, Research Information Science and Computing, Partners Healthcare
IDENTIFYING CAUSAL EFFECTS FROM ELECTRONIC HEALTH RECORD DATA WITH COARSENED EXACT MATCHING
Sebastien Haneuse, PhD
Associate Professor of Biostatistics, Harvard T.H. Chan School of Public Health
ADJUSTING FOR SELECTION BIAS IN ELECTRONIC HEALTH RECORDS-BASED RESEARCH
Miguel Hernan, MD, ScM, DrPH
Kolokotrones Professor of Biostatistics and Epidemiology, Harvard T.H. Chan School of Public Health
DESIGNING ANALYSES OF HEALTHCARE DATABASES TO EMULATE RANDOMIZED TRIALS
Douglas MacFadden, MS
Chief Informatics Officer, Harvard Catalyst, Harvard Medical School
THE HARVARD SHRINE NETWORK: THE HARVARD CATALYST TOOL FOR QUERYING EHR DATA ACROSS HARVARD HOSPITALS
Elizabeth Mostofsky, ScD
Instructor in Epidemiology, Harvard T.H. Chan School of Public Health
OBSERVATIONAL STUDY DESIGNS FOR HIGHLY STRATIFIED DATA
David Sontag, PhD
Assistant Professor, Department of Electrical Engineering and Computer Science, Institute for Medical Engineering & Science,
Massachusetts Institute of Technology
MACHINE LEARNING ON ELECTRONIC HEALTH RECORDS
Holly Barr-Vermilya, MHA
Partners eCare Research Core (PeRC) Director
Adrian Zai, MD, PhD, MPH
Partners eCare Research Director
Assistant Professor, Harvard Medical School
PARTNERS ECARE RESEARCH CORE
José R. Zubizarreta, PhD
Assistant Professor, Department of Health Care Policy, Harvard Medical School
Faculty Affiliate, Department of Statistics, Faculty of Arts and Sciences, Harvard University
BUILDING REPRESENTATIVE MATCHED SAMPLES IN LARGE-SCALE OBSERVATIONAL STUDIES WITH MULTIVALUED TREATMENTS
