EHR based Genetic Testing Knowledge Base (iGTKB) Development.

Journal: BMC medical informatics and decision making
Published Date:

Abstract

BACKGROUND: The gap between a large growing number of genetic tests and a suboptimal clinical workflow of incorporating these tests into regular clinical practice poses barriers to effective reliance on advanced genetic technologies to improve quality of healthcare. A promising solution to fill this gap is to develop an intelligent genetic test recommendation system that not only can provide a comprehensive view of genetic tests as education resources, but also can recommend the most appropriate genetic tests to patients based on clinical evidence. In this study, we developed an EHR based Genetic Testing Knowledge Base for Individualized Medicine (iGTKB).

Authors

  • Qian Zhu
    Institute for Prevention and Control of AIDS and STD, Henan Center for Disease Control and Prevention, Zhengzhou 450016, Henan, China.
  • Hongfang Liu
    Department of Artificial Intelligence & Informatics, Mayo Clinic, Rochester, MN, United States.
  • Christopher G Chute
  • Matthew Ferber