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Analysis of family health history based risk assessment algorithms: classification and data requirements
Pallavi Ranade-Kharkar1, Guilherme Del Fiol, Janet L Williams
1Intermountain Healthcare, Salt Lake City, UT, USA.
Abstract:
Family Health History (FHH) is a valuable and potentially low-cost tool for risk assessment and diagnosis in patient-centered healthcare. In this study, we identified and analyzed existing FHH-based risk assessment algorithms (RAAs) for cardio-vascular disease (CVD) and colorectal cancer (CRC) to guide implementers of electronic health record (EHR) systems regarding the data requirements for computing risk using these algorithms. We found a core set of data elements that are required by most RAAs. While some of these data are available in EHR systems, the patients can be empowered to contribute the remainder.
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