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

摘要：

　　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-PIERs usability to inform future design decisions.Quantitative and qualitative data were analyzed.Our findings will be used to improve the usability of NLP-PIER.

关键词： Information Storage and Retrieval Natural Language Processing Evaluation Studies

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

作者单位: Institute for Health Informatics,University of Minnesota,Minneapolis,Minnesota,USA Academic Health Center-Information Systems,University of Minnesota,Minneapolis,Minnesota,USA College of Pharmacy,University of Minnesota,Minneapolis,Minnesota,USA Department of Surgery,University of Minnesota,Minneapolis,Minnesota,USA Institute for Health Informatics,University of Minnesota,Minneapolis,Minnesota,USA;Department of Sur

会议类型: 国际会议

会议名称: 第十六届世界医药健康信息学大会((MEDINFO2017)、第二届世界医药健康信息学华语论坛(WCHIS 2017)、第15届全国医药信息学大会(CMIA 2017)

会议地点: 苏州

会议语种:英文

页码: 1269-1269

在线出版日期: 2017-08-21（万方平台首次上网日期，不代表论文的发表时间）