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Volume 1, Issue 2 (2013) Ways Decision Makers Can Use Evidence to Improve Patient Outcomes in Learning Health Systems


A Message from the Guest Editor

A learning health system is one in which clinical information and research are continually used to improve the processes, outcomes, and quality of care. No matter which definition of comparative effectiveness research (CER) or patient-centered outcomes research (PCOR) is preferred, there is nearly universal agreement that a core feature of these research efforts is the need to engage decision makers, such as patients, providers, and policymakers, in prioritizing and defining research that addresses and resolves important evidence gaps to improve patient care and outcomes. In this set of eGEMs papers focused on decision-making, leaders in scientific fields with an interest in developing the next generation of CER, PCOR, and quality improvement studies share their perspectives on the potential applications, as well as the short-and longterm challenges, of using electronic clinical data to address health care information needs within a learning health system.

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Electronic Data Capture through Total Joint Replacement Registries
Benedict U. Nwachukwu MD, MBA and Kevin J. Bozic MD, MBA
Oct 2013, Vol. 1, Iss. 2

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Moving To A User-Driven Research Paradigm
Gurvaneet Randhawa
Oct 2013, Vol. 1, Iss. 2

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How Electronic Clinical Data Can Improve Health Technology Assessment
Jonathan R. Treadwell PhD, Eileen Erinoff MSLIS, and Vivian Coates MBA
Oct 2013, Vol. 1, Iss. 2

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Applications of Electronic Health Information in Public Health: Uses, Opportunities and Barriers
Alan Tomines, Heather Readhead, Adam Readhead, and Steven Teutsch
Oct 2013, Vol. 1, Iss. 2

Guest Editor


Dr. Wade Aubry

Wade Aubry, MD
Associate Clinical Professor of Medicine
Philip R. Lee Institute for Health Policy Studies
University of California, San Francisco