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Usability Evaluation of NLP-PIER: A Clinical Document Search Engine for Researchers
Gretchen Hultman1, Reed McEwan2, Serguei Pakhomov3
1Institute for Health Informatics, University of Minnesota, Minneapolis, Minnesota, USA.
Abstract:
NLP-PIER (Natural Language Processing - Patient Information Extraction for Research) is a self-service platform with a search engine for clinical researchers to perform natural language processing (NLP) queries using clinical notes. We conducted user-centered testing of NLP-PIER's usability to inform future design decisions. Quantitative and qualitative data were analyzed. Our findings will be used to improve the usability of NLP-PIER.
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