Digital family histories for data mining.

Hoyt R, Linnville S, Chung HM, Hutfless B, Rice C.

Source

Robert Hoyt, MD, FACP, is the Director of the Medical Informatics Program in the School of Allied Health and Life Sciences at the University of West Florida in Pensacola, FL. He is also a clinical researcher at the Robert E. Mitchell Center for Prisoner of War Studies in Pensacola, FL.

Abstract

As we move closer to ubiquitous electronic health records (EHRs), genetic, familial, and clinical information will need to be incorporated into EHRs as structured data that can be used for data mining and clinical decision support. While the Human Genome Project has produced new and exciting genomic data, the cost to sequence the human personal genome is high, and significant controversies regarding how to interpret genomic data exist. Many experts feel that the family history is a surrogate marker for genetic information and should be part of any paper-based or electronic health record. A digital family history is now part of the Meaningful Use Stage 2 menu objectives for EHR reimbursement, projected for 2014. In this study, a secure online family history questionnaire was designed to collect data on a unique cohort of Vietnam-era repatriated male veterans and a comparison group in order to compare participant and family disease rates on common medical disorders with a genetic component. This article describes our approach to create the digital questionnaire and the results of analyzing family history data on 319 male participants.