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 proceedingConference 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 languageEnglish (US)
Title of host publicationMEDINFO 2017
Subtitle of host publicationPrecision Healthcare through Informatics - Proceedings of the 16th World Congress on Medical and Health Informatics
EditorsAdi V. Gundlapalli, Jaulent Marie-Christine, Zhao Dongsheng
PublisherIOS Press BV
Pages1269
Number of pages1
ISBN (Electronic)9781614998297
DOIs
StatePublished - 2017
Event16th World Congress of Medical and Health Informatics: Precision Healthcare through Informatics, MedInfo 2017 - Hangzhou, China
Duration: Aug 21 2017Aug 25 2017

Publication series

NameStudies in Health Technology and Informatics
Volume245
ISSN (Print)0926-9630
ISSN (Electronic)1879-8365

Other

Other16th World Congress of Medical and Health Informatics: Precision Healthcare through Informatics, MedInfo 2017
Country/TerritoryChina
CityHangzhou
Period8/21/178/25/17

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

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