Usability evaluation of NLP-PIER: A clinical document search engine for researchers

Gretchen Hultman; Reed McEwan; Serguei Pakhomov; Elizabeth Lindemann; Steven Skube; Genevieve B. Melton

doi:10.3233/978-1-61499-830-3-1269

Usability evaluation of NLP-PIER: A clinical document search engine for researchers

Gretchen Hultman, Reed McEwan, Serguei Pakhomov, Elizabeth Lindemann, Steven Skube, Genevieve B. Melton

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

1 Scopus citations

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.

Original language	English (US)
Title of host publication	MEDINFO 2017
Subtitle of host publication	Precision Healthcare through Informatics - Proceedings of the 16th World Congress on Medical and Health Informatics
Editors	Adi V. Gundlapalli, Jaulent Marie-Christine, Zhao Dongsheng
Publisher	IOS Press BV
Pages	1269
Number of pages	1
ISBN (Electronic)	9781614998297
DOIs	https://doi.org/10.3233/978-1-61499-830-3-1269
State	Published - 2017
Event	16th World Congress of Medical and Health Informatics: Precision Healthcare through Informatics, MedInfo 2017 - Hangzhou, China Duration: Aug 21 2017 → Aug 25 2017

Publication series

Name	Studies in Health Technology and Informatics
Volume	245
ISSN (Print)	0926-9630
ISSN (Electronic)	1879-8365

Other

Other	16th World Congress of Medical and Health Informatics: Precision Healthcare through Informatics, MedInfo 2017
Country/Territory	China
City	Hangzhou
Period	8/21/17 → 8/25/17

Bibliographical note

Funding Information:
This research was supported by the Agency for Healthcare Research & Quality (#R01HS022085 (GM)) and National Institutes of Health (#R01LM011364 (GM), #R01GM102282 (SP), #8UL1TR000114 (Blazar)).

Publisher Copyright:
© 2017 International Medical Informatics Association (IMIA) and IOS Press.

Keywords

Evaluation studies
Information storage and retrieval
Natural language processing

Publisher link

10.3233/978-1-61499-830-3-1269

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Hultman, G., McEwan, R., Pakhomov, S., Lindemann, E., Skube, S., & Melton, G. B. (2017). Usability evaluation of NLP-PIER: A clinical document search engine for researchers. In A. V. Gundlapalli, J. Marie-Christine, & Z. Dongsheng (Eds.), MEDINFO 2017: Precision Healthcare through Informatics - Proceedings of the 16th World Congress on Medical and Health Informatics (pp. 1269). (Studies in Health Technology and Informatics; Vol. 245). IOS Press BV. https://doi.org/10.3233/978-1-61499-830-3-1269

Usability evaluation of NLP-PIER: A clinical document search engine for researchers. / Hultman, Gretchen; McEwan, Reed; Pakhomov, Serguei et al.
MEDINFO 2017: Precision Healthcare through Informatics - Proceedings of the 16th World Congress on Medical and Health Informatics. ed. / Adi V. Gundlapalli; Jaulent Marie-Christine; Zhao Dongsheng. IOS Press BV, 2017. p. 1269 (Studies in Health Technology and Informatics; Vol. 245).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Hultman, G, McEwan, R, Pakhomov, S, Lindemann, E, Skube, S & Melton, GB 2017, Usability evaluation of NLP-PIER: A clinical document search engine for researchers. in AV Gundlapalli, J Marie-Christine & Z Dongsheng (eds), MEDINFO 2017: Precision Healthcare through Informatics - Proceedings of the 16th World Congress on Medical and Health Informatics. Studies in Health Technology and Informatics, vol. 245, IOS Press BV, pp. 1269, 16th World Congress of Medical and Health Informatics: Precision Healthcare through Informatics, MedInfo 2017, Hangzhou, China, 8/21/17. https://doi.org/10.3233/978-1-61499-830-3-1269

Hultman G, McEwan R, Pakhomov S, Lindemann E, Skube S, Melton GB. Usability evaluation of NLP-PIER: A clinical document search engine for researchers. In Gundlapalli AV, Marie-Christine J, Dongsheng Z, editors, MEDINFO 2017: Precision Healthcare through Informatics - Proceedings of the 16th World Congress on Medical and Health Informatics. IOS Press BV. 2017. p. 1269. (Studies in Health Technology and Informatics). doi: 10.3233/978-1-61499-830-3-1269

Hultman, Gretchen ; McEwan, Reed ; Pakhomov, Serguei et al. / Usability evaluation of NLP-PIER : A clinical document search engine for researchers. MEDINFO 2017: Precision Healthcare through Informatics - Proceedings of the 16th World Congress on Medical and Health Informatics. editor / Adi V. Gundlapalli ; Jaulent Marie-Christine ; Zhao Dongsheng. IOS Press BV, 2017. pp. 1269 (Studies in Health Technology and Informatics).

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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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Usability evaluation of NLP-PIER: A clinical document search engine for researchers

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