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Description

EHR systems generate user log data, which can be productively employed to improve the efficiency, quality, and safety of healthcare. While usage of these potentially illuminating data remains limited, given the promising potential, methodological approaches for rigorous use of these data need to be discussed and developed. This session addresses these issues by presenting three different use cases that reveal the research value of EHR log data in a range of topical areas, including provider burden, workflow effectiveness, and health IT safety. The panel will also engage in a discussant-led conversation about the opportunities, limitations, and methodological challenges regarding use of these data. The learning objectives for this panel include: increasing awareness of the value of EHR log data for answering various clinical informatics and clinical research questions, understanding methodologies for how best to use these data in a research setting, and understanding the potential for leveraging these data in novel informatics applications such as measuring the impact of interoperability.

Learning Objective 1: Increase awareness of the value of EHR log data for answering various clinical informatics and clinical research questions.

Learning Objective 2: Understand methodologies for how best to use EHR log data in a research setting.

Authors:

Christine Dymek (Presenter)
Agency for Healthcare Research and Quality

Ming Tai-Seale (Presenter)
University of California San Diego

Vimla Patel (Presenter)
New York Academy of Medicine

Jason Adelman (Presenter)
Columbia University Medical Center

Julia Adler-Milstein (Presenter)
University of California San Francisco

Presentation Materials:

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