Title | Query log analysis of an electronic health record search engine. |
Publication Type | Journal Article |
Year of Publication | 2011 |
Authors | Yang, L, Mei, Q, Zheng, K, Hanauer, DA |
Journal | AMIA Annu Symp Proc |
Volume | 2011 |
Pagination | 915-24 |
Date Published | 2011 |
ISSN | 1942-597X |
Keywords | Electronic 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 Journal | AMIA Annu Symp Proc |
PubMed ID | 22195150 |
PubMed Central ID | PMC3243246 |
Grant List | HHSN276201000032C / / PHS HHS / United States UL1RR024986 / RR / NCRR NIH HHS / United States |
Research reported in this publication was supported by the National Cancer Institutes of
Health under Award Number P30CA046592. The content is solely the responsibility
of the authors and does not necessarily represent the official views of the
National Institutes of Health.
Research reported in this publication was supported by the National Cancer Institutes of
Health under Award Number P30CA046592 by the use of the following Cancer Center
Shared Resource(s): Biostatistics, Analytics & Bioinformatics; Flow Cytometry;
Transgenic Animal Models; Tissue and Molecular Pathology; Structure & Drug
Screening; Cell & Tissue Imaging; Experimental Irradiation; Preclinical
Imaging & Computational Analysis; Health Communications; Immune Monitoring;
Pharmacokinetics)
Copyright © Cancer Center Informatics-2011 Regents of the University of Michigan