Usability Evaluation of NLP-PIER: A Clinical Document Search Engine for Researchers

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 infor...

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Detalles Bibliográficos
Autores principales: Hultman, Gretchen, McEwan, Reed, Pakhomov, Serguei, Lindemann, Elizabeth, Skube, Steven, Melton, Genevieve B.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: 2017
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6188640/
https://www.ncbi.nlm.nih.gov/pubmed/29295354
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author Hultman, Gretchen
McEwan, Reed
Pakhomov, Serguei
Lindemann, Elizabeth
Skube, Steven
Melton, Genevieve B.
author_facet Hultman, Gretchen
McEwan, Reed
Pakhomov, Serguei
Lindemann, Elizabeth
Skube, Steven
Melton, Genevieve B.
author_sort Hultman, Gretchen
collection PubMed
description 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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spelling pubmed-61886402018-10-15 Usability Evaluation of NLP-PIER: A Clinical Document Search Engine for Researchers Hultman, Gretchen McEwan, Reed Pakhomov, Serguei Lindemann, Elizabeth Skube, Steven Melton, Genevieve B. Stud Health Technol Inform Article 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. 2017 /pmc/articles/PMC6188640/ /pubmed/29295354 Text en http://creativecommons.org/licenses/by-nc/4.0/ This article is published online with Open Access by IOS Press and distributed under the terms of the Creative Commons Attribution Non-Commercial License 4.0 (CC BY-NC 4.0).
spellingShingle Article
Hultman, Gretchen
McEwan, Reed
Pakhomov, Serguei
Lindemann, Elizabeth
Skube, Steven
Melton, Genevieve B.
Usability Evaluation of NLP-PIER: A Clinical Document Search Engine for Researchers
title Usability Evaluation of NLP-PIER: A Clinical Document Search Engine for Researchers
title_full Usability Evaluation of NLP-PIER: A Clinical Document Search Engine for Researchers
title_fullStr Usability Evaluation of NLP-PIER: A Clinical Document Search Engine for Researchers
title_full_unstemmed Usability Evaluation of NLP-PIER: A Clinical Document Search Engine for Researchers
title_short Usability Evaluation of NLP-PIER: A Clinical Document Search Engine for Researchers
title_sort usability evaluation of nlp-pier: a clinical document search engine for researchers
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6188640/
https://www.ncbi.nlm.nih.gov/pubmed/29295354
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