Volume 1, Issue 3 (2013) Methods for CER, PCOR, and QI Using EHR Data in a Learning Health System

A Message from the Guest Editor

The papers in this special issue only begin to address the methodological developments needed to advance the national dialogue on the use of electronic clinical data (ECD) to conduct comparative effectiveness research and patient centered outcomes research, support quality improvement, and generally to improve outcomes in a learning health care system. These papers offer a beginning snapshot of some critical ideas and innovations shaping the field.

I encourage you to read the papers in this collection and think about whether your organization has developed similar approaches— or radical alternatives—and write about them. You might also try some of the approaches discussed here, and let us know how they work out. We are particularly interested in papers that address key topics raised in prior EDM Forum discussions, including strategies for evaluating and addressing missing data and other data quality issues; analytic strategies that can account for granular temporal or spatial information; and new, rigorous methodological approaches to maximizing the use of “big data” to generate new evidence and determine what works best for whom and under what conditions.

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Medical Home Characteristics and Asthma Control: A Prospective, Observational Cohort Study Protocol
Marion R. Sills, Bethany M. Kwan, Barbara P. Yawn, Brian C. Sauer, Diane L. Fairclough, Monica J. Federico, Elizabeth Juarez-Colunga, and Lisa M. Schilling


Estimating Causal Effects in Observational Studies Using Electronic Health Data: Challenges and (some) Solutions
Elizabeth A. Stuart, Eva DuGoff, Michael Abrams, David Salkever, and Donald Steinwachs


Using Multifactorial Experiments For Comparative Effectiveness Research in Physician Practices with Electronic Health Records
Jelena Zurovac Ph.D, M.S.; Lorenzo Moreno Ph.D., M.Sc.; Jesse Crosson Ph.D.; Randall Brown Ph.D.; and Robert Schmitz Ph.D.


Strategies for Handling Missing Data in Electronic Health Record Derived Data
Brian J. Wells, Amy S. Nowacki, Kevin Chagin, and Michael W. Kattan


Validation of Diagnostic and Procedural Codes for Identification of Acute Cardiovascular Events in US Veterans with Rheumatoid Arthritis
Lisa A. Davis, Alyse Mann, Grant W. Cannon, Ted R. Mikuls, Andreas M. Reimold, and Liron Caplan


Dr. Michael Stoto

Michael Stoto, PhD
Department of Health Systems Administration
Georgetown University

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