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Abstract
Using electronic health records (EHRs) to find patients for clinical trials is both exciting and challenging. “EHRs often do not tell a complete patient story” for a variety of reasons, and it has been very difficult to find types of patients such as those you might want as control patients (primarily patients with few health problems and no serious chronic diseases)This capstone project surveyed the literature on computer algorithms to find control patients for clinical trial recruitment, analyzed the data retrieved from the run of one algorithm to find “healthy” patients in the Oregon Health & Science University (OHSU) EHR system, and showed similar searches for healthy patients using OHSU’s Cohort Discovery Tool and Epic Real-time Reporting Workbench queries.