title: Optimizing Clinical Research Participant Selection with Informatics.
abstract: Clinical research participants are often not reflective of real-world patients due to overly restrictive eligibility criteria. Meanwhile, unselected participants introduce confounding factors and reduce research efficiency. Biomedical informatics, especially Big Data increasingly made available from electronic health records, offers promising aids to optimize research participant selection through data-driven transparency.
authors.affiliation: Department of Biomedical Informatics, Columbia University, 622 W 168 Street, PH-20, Room 407, New York, NY 10032, USA. Electronic address: cw2384@columbia.edu.
authors.forename: Chunhua
authors.initials: C
authors.lastname: Weng
mesh_terms: D035843:Biomedical Research; D000068456:Clinical Studies as Topic; D006801:Humans; D008490:Medical Informatics; D018579:Patient Selection