title: Query log analysis of an electronic health record 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.
authors.affiliation: School of Information, University of Michigan, Ann Arbor, MI, USA.
authors.forename: Lei
authors.initials: L
authors.lastname: Yang
authors.forename: Qiaozhu
authors.initials: Q
authors.lastname: Mei
authors.forename: Kai
authors.initials: K
authors.lastname: Zheng
authors.forename: David A
authors.initials: DA
authors.lastname: Hanauer
mesh_terms: D057286:Electronic Health Records; D057226:Information Seeking Behavior; D016247:Information Storage and Retrieval / Q000706:statistics & numerical data; D057386:Search Engine / Q000706:statistics & numerical data*