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

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

Stud Health Technol Inform. 2017:245:1269.

Authors

Gretchen Hultman¹, Reed McEwan², Serguei Pakhomov³, Elizabeth Lindemann⁴, Steven Skube⁴, Genevieve B Melton¹

Affiliations

¹ Institute for Health Informatics, University of Minnesota, Minneapolis, Minnesota, USA.
² Academic Health Center - Information Systems, University of Minnesota, Minneapolis, Minnesota, USA.
³ College of Pharmacy, University of Minnesota, Minneapolis, Minnesota, USA.
⁴ Department of Surgery, University of Minnesota, Minneapolis, Minnesota, USA.

PMID: 29295354
PMCID: PMC6188640

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.

Keywords: Evaluation Studies; Information Storage and Retrieval; Natural Language Processing.

MeSH terms

Electronic Health Records
Humans
Information Storage and Retrieval
Natural Language Processing*
Search Engine*

Abstract

MeSH terms

Grants and funding