Deriving consumer-facing disease concepts for family health histories using multi-source sampling

Authors:
Nathan C. Hulse;Grant M. Wood;Peter J. Haug;Marc S. Williams
Affiliations:
Intermountain Healthcare, Salt Lake City, UT, USA and Department of Biomedical Informatics, University of Utah, Salt Lake City, UT, USA;Intermountain Healthcare, Salt Lake City, UT, USA;Intermountain Healthcare, Salt Lake City, UT, USA and Department of Biomedical Informatics, University of Utah, Salt Lake City, UT, USA;Intermountain Healthcare, Salt Lake City, UT, USA and Department of Biomedical Informatics, University of Utah, Salt Lake City, UT, USA
Venue:
Journal of Biomedical Informatics
Year:
2010

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Abstract

The family health history has long been recognized as an effective way of understanding individuals' susceptibility to familial disease; yet electronic tools to support the capture and use of these data have been characterized as inadequate. As part of an ongoing effort to build patient-facing tools for entering detailed family health histories, we have compiled a set of concepts specific to familial disease using multi-source sampling. These concepts were abstracted by analyzing family health history data patterns in our enterprise data warehouse, collection patterns of consumer personal health records, analyses from the local state health department, a healthcare data dictionary, and concepts derived from genetic-oriented consumer education materials. Collectively, these sources yielded a set of more than 500 unique disease concepts, represented by more than 2500 synonyms for supporting patients in entering coded family health histories. We expect that these concepts will be useful in providing meaningful data and education resources for patients and providers alike.