Semantic interoperability of Health Risk Assessments.

Jay Rajda, Daniel Vreeman, Henry G. Wei

Research output: Contribution to journalArticle

1 Citation (Scopus)

Abstract

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.

Original languageEnglish (US)
Pages (from-to)1134-1143
Number of pages10
JournalAMIA ... Annual Symposium proceedings / AMIA Symposium. AMIA Symposium
Volume2011
StatePublished - 2011
Externally publishedYes

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Semantics
Health
Insurance Benefits
Logical Observation Identifiers Names and Codes
Industry
Electronic Health Records
Health Insurance
Disease Management
Research
Surveys and Questionnaires

ASJC Scopus subject areas

  • Medicine(all)

Cite this

Semantic interoperability of Health Risk Assessments. / Rajda, Jay; Vreeman, Daniel; Wei, Henry G.

In: AMIA ... Annual Symposium proceedings / AMIA Symposium. AMIA Symposium, Vol. 2011, 2011, p. 1134-1143.

Research output: Contribution to journalArticle

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