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Data collection gathers information needed to make accurate judgments about a patient's present condition. During a health history interview, subjective data is collected from the patient, their caregivers, or family members, and objective data is collected through observations and physical assessment. Patients are the primary source of subjective data. Thus information gathered from patients through interviews, observations, and physical examination is primary data. Secondary sources of...
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Digital family histories for data mining.

Robert Hoyt1, Steven Linnville, Hui-Min Chung

  • 1Robert 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.

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|October 26, 2013
PubMed
Summary

A digital family history questionnaire was developed to collect genetic and clinical data from Vietnam veterans. This approach supports electronic health records and aids in understanding disease rates within families.

Keywords:
Human Genome Projectelectronic health recordsfamily medical historypersonal health records

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Area of Science:

  • Genomic Medicine
  • Health Informatics

Background:

  • Electronic health records (EHRs) increasingly require structured genetic and familial data for clinical decision support.
  • The Human Genome Project generated vast genomic data, but high sequencing costs and interpretation challenges persist.
  • Family history is recognized as a valuable surrogate for genetic information and is crucial for EHR integration.

Purpose of the Study:

  • To develop a secure online family history questionnaire for collecting structured health data.
  • To compare participant and family disease rates for common disorders with a genetic component.
  • To analyze family history data from a cohort of Vietnam-era male veterans and a comparison group.

Main Methods:

  • Designed and implemented a secure online family history questionnaire.
  • Collected data from 319 male participants, including Vietnam-era veterans and a comparison group.
  • Analyzed participant and family disease rates for common medical disorders.

Main Results:

  • The study successfully collected family history data using a digital questionnaire.
  • Analysis focused on comparing disease prevalence within families of the veteran cohort and the comparison group.
  • Results provide insights into disease patterns and genetic predispositions within the studied populations.

Conclusions:

  • Digital family history tools are essential for integrating genetic and clinical data into EHRs.
  • This methodology facilitates the study of genetic components of common diseases in specific cohorts.
  • The findings contribute to the understanding of disease risk and familial aggregation of disorders.