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The Postencounter Form System: Viewpoint on Efficient Data Collection Within Electronic Health Records

The Postencounter Form System: Viewpoint on Efficient Data Collection Within Electronic Health Records

Even when the availability of resources is not a barrier and advanced NLP is utilized to extract text-based data from clinical progress notes, there are still challenges to obtaining usable data and developing accurate models [6]. For example, many clinical progress notes contain text and information that can be extremely similar or the same as a result of providers copying-and-pasting to save time [4,7,8].

Philip Held, Randy A Boley, Walter G Faig, John A O'Toole, Imran Desai, Alyson K Zalta, Jawad Khan, Shannon Sims, Michael B Brennan, Rebecca Van Horn, Angela C Glover, Bala N Hota, Brian D Patty, S Shafiq Rab, Mark H Pollack, Niranjan S Karnik

JMIR Form Res 2020;4(4):e17429