| Semantic interoperability of Health Risk Assessments. | |
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MedLine Citation:
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PMID: 22195174 Owner: NLM Status: MEDLINE |
Abstract/OtherAbstract:
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The health insurance and benefits industry has administered Health Risk Assessments (HRAs) at an increasing rate. These are used to collect data on modifiable health risk factors for wellness and disease management programs. However, there is significant variability in the semantics of these assessments, making it difficult to compare data sets from the output of 2 different HRAs. There is also an increasing need to exchange this data with Health Information Exchanges and Electronic Medical Records. To standardize the data and concepts from these tools, we outline a process to determine presence of certain common elements of modifiable health risk extracted from these surveys. This information is coded using concept identifiers, which allows cross-survey comparison and analysis. We propose that using LOINC codes or other universal coding schema may allow semantic interoperability of a variety of HRA tools across the industry, research, and clinical settings. |
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Authors:
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Jay Rajda; Daniel J Vreeman; Henry G Wei |
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Publication Detail:
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Type: Journal Article Date: 2011-10-22 |
Journal Detail:
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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:
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Created Date: 2011-12-23 Completed Date: 2013-02-25 Revised Date: 2013-05-22 |
Medline Journal Info:
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Nlm Unique ID: 101209213 Medline TA: AMIA Annu Symp Proc Country: United States |
Other Details:
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Languages: eng Pagination: 1134-43 Citation Subset: IM |
Affiliation:
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ActiveHealth Management, New York, NY, USA. |
Export Citation:
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APA/MLA Format Download EndNote Download BibTex |
| MeSH Terms | |
Descriptor/Qualifier:
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Databases as Topic
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organization & administration* Decision Support Systems, Clinical Health Status Indicators* Humans Logical Observation Identifiers Names and Codes Questionnaires Risk Assessment Risk Factors Semantics Systems Integration* |
| Comments/Corrections | |
From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine
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