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Description


In an effort reduce the cost and manual effort for enrollment, several studies have leveraged phenotyping of electronic health records (EHR) to identify patients that better match the eligibility criteria. We describe a dynamic phenotyping approach that consists of repeating phenotyping in alternation with manual screening. We present results from the implementation of this approach for an intervention study on heart failure.

Learning Objective: After participating in this session, the learner should be better able to:
understand how phenotyping of electronic health records (EHR) can augment identification of patients that better match the eligibility criteria for clinical studies

Authors:

Kavishwar Wagholikar (Presenter)
Harvard Medical School

Christina Fischer, Partners Healthcare
Alyssa Goodson, Partners Healthcare
Christopher Herrick, Partners Healthcare
Taylor Maclean, Partners Healthcare
Katelyn Smith, Partners Healthcare
Liliana Fera, Partners Healthcare
Thomas Gaziano, Partners Healthcare
Jacqueline Dunning, Partners Healthcare
Joshua Bosque-Hamilton, Partners Healthcare
Lina Matta, Partners Healthcare
Eloy Toscano, Partners Healthcare
Brent Richter, Partners Healthcare
Layne Ainsworth, Partners Healthcare
Michael Oates, Partners Healthcare
Samuel Aronson, Partners Healthcare
Calum Macrae, Partners Healthcare
Benjamin Morgan scirica, Partners Healthcare
Akshay Desai, Partners Healthcare
Shawn Murphy, Partners Healthcare

Presentation Materials:

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