Creating a Web-Based Family History Questionnaire for Data Mining

Abstract

As we move closer to ubiquitous electronic health records (EHRs) there will be a need to incorporate genetic, familial and clinical information as structured data that can be used for 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 of how to interpret genomic data exist. Many experts feel that the family history is a surrogate marker for actual genetic studies and should be part of any paper-based or electronic health record (EHR). A digital family history is now part of meaningful use stage 2 requirements. It is likely that family history information will be used for clinical decision support in EHRs in the not too distant future. We designed an online family history questionnaire (FHQ) to collect computable data to determine whether resiliency (defined as no psychiatric illnesses post-trauma) in Vietnam-era repatriated prisoners of war (RPWs) is associated with any component of the family history. This paper describes our approach to create a digital FHQ in order to answer a research question.

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Document Details

Document Type
Technical Report
Publication Date
Feb 12, 2013
Accession Number
ADA578129

Entities

People

  • Brent Hutfless
  • Courtney Rice
  • Hui-min Chung
  • Justice Mbizo
  • Robert A Hoyt

Organizations

  • Robert E. Mitchell Center for Prisoner of War Studies

Tags

Communities of Interest

  • Biomedical

DTIC Thesaurus Topics

  • Application Software
  • Basic Programming Language
  • Biological Sciences
  • Computers
  • Data Analysis
  • Data Mining
  • Diseases And Disorders
  • Electronic Mail
  • Health Services
  • Information Science
  • Medical Personnel
  • Network Protocols
  • Prisoners
  • Prisoners Of War
  • Questionnaires
  • Spreadsheet Software
  • Surveys

Readers

  • Criminal Law
  • Medical or Health Care Field.
  • Molecular and genetic basis of cancer.

Technology Areas

  • AI & ML
  • Biotechnology
  • Microelectronics