| Query log analysis of an electronic health record search engine. | |
| | |
MedLine Citation:
|
PMID: 22195150 Owner: NLM Status: In-Data-Review |
Abstract/OtherAbstract:
|
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:
|
Lei Yang; Qiaozhu Mei; Kai Zheng; David A Hanauer |
Publication Detail:
|
Type: Journal Article Date: 2011-10-22 |
Journal Detail:
|
Title: AMIA ... Annual Symposium proceedings / AMIA Symposium. AMIA Symposium Volume: 2011 ISSN: 1942-597X ISO Abbreviation: AMIA Annu Symp Proc Publication Date: 2011 |
Date Detail:
|
Created Date: 2011-12-23 Completed Date: - Revised Date: - |
Medline Journal Info:
|
Nlm Unique ID: 101209213 Medline TA: AMIA Annu Symp Proc Country: United States |
Other Details:
|
Languages: eng Pagination: 915-24 Citation Subset: IM |
Affiliation:
|
School of Information; |
Export Citation:
|
APA/MLA Format Download EndNote Download BibTex |
| MeSH Terms | |
Descriptor/Qualifier:
|
|
From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine
Previous Document: A cognitive architecture for simulating bodies and minds.
Next Document: A Legal Framework to Enable Sharing of Clinical Decision Support Knowledge and Services across Insti...