Analysis of family health history based risk assessment algorithms: classification and data requirements.
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.
Intermountain Healthcare, Salt Lake City, UT, USA.
Pallavi
P
Ranade-Kharkar
Guilherme
G
Del Fiol
Janet L
JL
Williams
Nathan C
NC
Hulse
Peter
P
Haug
D000465:Algorithms; D015179:Colorectal Neoplasms / Q000453:epidemiology / Q000235:genetics*; D057286:Electronic Health Records / Q000706:statistics & numerical data*; D005192:Family Health / Q000145:classification* / Q000706:statistics & numerical data*; D020022:Genetic Predisposition to Disease / Q000453:epidemiology / Q000235:genetics*; D006801:Humans; D008487:Medical History Taking / Q000706:statistics & numerical data; D020380:Needs Assessment; D057285:Precision Medicine / Q000379:methods; D018570:Risk Assessment / Q000379:methods*