Objective: To show the potential of a resource consisting of a genealogy of the US record linked to National Veterans Health Administration (VHA) patient data for investigation of the genetic contribution to health-related phenotypes, we present an analysis of familial clustering of VHA patients diagnosed with Alzheimer disease (AD).
Methods: Patients with AD were identified by the code. The Genealogical Index of Familiality method was used to compare the average relatedness of VHA patients with AD with expected relatedness.
Stud Health Technol Inform
June 2018
Significant efforts have been made to improve physician-to-physician communication and care coordination during transition of care in order to reduce adverse events and readmissions. As electronic health records (EHRs) become widely available, many hospitals have implemented physician collaboration and hand-off tools to automatically send admission notifications, discharge summaries, and pending laboratory results to a patient's primary care physician (PCP). However, the effectiveness of such tools depends on a fundamental question that remains unstudied: who is the patient's PCP? Missing or outdated PCP information may become the bottleneck to effective patient-centered care coordination regardless of existing efforts on promoting interoperability among healthcare providers.
View Article and Find Full Text PDFBackground: Many landmark genetic breakthroughs, including the recent discovery of PCSK-9 inhibitor drugs, were accomplished with substantial contributions from evaluation of pedigrees. Finding and ascertaining high-value pedigrees is not trivial and requires considerable time and cost. Here, we describe the creation of the Intermountain Genealogy Registry for use in studying the genetics of cardiovascular and other diseases.
View Article and Find Full Text PDFPurpose: Creation of a genealogy of the United States and its ancestral populations is under way. When complete, this US genealogy will be record linked to the National Veteran's Health Administration medical data representing more than 8 million US veterans.
Methods: Genealogical data are gathered from public sources, primarily the Internet.