Document Detail

Electronic laboratory data quality and the value of a health information exchange to support public health reporting processes.
MedLine Citation:
PMID:  22195084     Owner:  NLM     Status:  MEDLINE    
There is increasing interest in leveraging electronic health data across disparate sources for a variety of uses. A fallacy often held by data consumers is that clinical data quality is homogeneous across sources. We examined one attribute of data quality, completeness, in the context of electronic laboratory reporting of notifiable disease information. We evaluated 7.5 million laboratory reports from clinical information systems for their completeness with respect to data needed for public health reporting processes. We also examined the impact of health information exchange (HIE) enhancement methods that attempt to improve completeness. The laboratory data were heterogeneous in their completeness. Fields identifying the patient and test results were usually complete. Fields containing patient demographics, patient contact information, and provider contact information were suboptimal. Data processed by the HIE were often more complete, suggesting that HIEs can support improvements to existing public health reporting processes.
Brian E Dixon; Julie J McGowan; Shaun J Grannis
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Publication Detail:
Type:  Journal Article; Research Support, U.S. Gov't, P.H.S.     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:  2013-02-25     Revised Date:  2013-06-26    
Medline Journal Info:
Nlm Unique ID:  101209213     Medline TA:  AMIA Annu Symp Proc     Country:  United States    
Other Details:
Languages:  eng     Pagination:  322-30     Citation Subset:  IM    
Indiana University, School of Informatics, Indianapolis, IN, USA.
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MeSH Terms
Clinical Laboratory Information Systems* / standards
Disease Notification*
Electronic Health Records*
Medical Record Linkage
Medical Records Systems, Computerized
Population Surveillance / methods*
Public Health
United States
Grant Support

From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine

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