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Query log analysis of an electronic health record search engine.

TitleQuery log analysis of an electronic health record search engine.
Publication TypeJournal Article
Year of Publication2011
AuthorsYang, L, Mei, Q, Zheng, K, Hanauer, DA
JournalAMIA Annu Symp Proc
Volume2011
Pagination915-24
Date Published2011
ISSN1942-597X
KeywordsElectronic Health Records, Information Seeking Behavior, Information Storage and Retrieval, Search Engine
Abstract

We analyzed a longitudinal collection of query logs of a full-text search engine designed to facilitate information retrieval in electronic health records (EHR). The collection, 202,905 queries and 35,928 user sessions recorded over a course of 4 years, represents the information-seeking behavior of 533 medical professionals, including frontline practitioners, coding personnel, patient safety officers, and biomedical researchers for patient data stored in EHR systems. In this paper, we present descriptive statistics of the queries, a categorization of information needs manifested through the queries, as well as temporal patterns of the users' information-seeking behavior. The results suggest that information needs in medical domain are substantially more sophisticated than those that general-purpose web search engines need to accommodate. Therefore, we envision there exists a significant challenge, along with significant opportunities, to provide intelligent query recommendations to facilitate information retrieval in EHR.

Alternate JournalAMIA Annu Symp Proc
PubMed ID22195150
PubMed Central IDPMC3243246
Grant ListHHSN276201000032C / / PHS HHS / United States
UL1RR024986 / RR / NCRR NIH HHS / United States
People: 
David Hanauer
University of Michigan Comprehensive Cancer Center at North Campus Reserach Complex
1600 Huron Parkway, Bldg 100, Rm 100 
Mailing Address: 2800 Plymouth Rd, NCRC 100-1004
Ann Arbor, MI 48109-2800 
Ph. (734) 764-8848 Fax. (734) 615-0517
Please acknowledge the Cancer Center Support Grant (P30 CA046592) when publishing manuscripts or abstracts that utilized the services of the University of Michigan's Comprehensive Cancer Center's Shared Resource: Cancer Informatics.
Suggested language: "Research reported in this [publication/press release] was supported by the National Cancer Institute of the National Institutes of Health under award number P30CA046592."

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