Generating real-world evidence from unstructured clinical notes to examine clinical utility of genetic tests: use case in BRCAness.

Journal: BMC medical informatics and decision making
Published Date: Jan 6, 2021

Abstract

BACKGROUND: Next-generation sequencing provides comprehensive information about individuals' genetic makeup and is commonplace in oncology clinical practice. However, the utility of genetic information in the clinical decision-making process has not been examined extensively from a real-world, data-driven perspective. Through mining real-world data (RWD) from clinical notes, we could extract patients' genetic information and further associate treatment decisions with genetic information.

Authors

  • Yiqing Zhao
    Department of Health Informatics and Administration, Center for Biomedical Data and Language Processing, University of Wisconsin-Milwaukee, 2025 E Newport Ave, NWQ-B Room 6469, Milwaukee, WI, 53211, USA.
  • Saravut J Weroha
    Division of Medical Oncology, Department of Oncology, Mayo Clinic, 200 1st St SW, Rochester, MN, 55905, USA.
  • Ellen L Goode
    Division of Epidemiology, Department of Health Sciences Research, Mayo Clinic, 205 3rd Ave SW, Rochester, MN, 55905, USA.
  • Hongfang Liu
    Department of Artificial Intelligence & Informatics, Mayo Clinic, Rochester, MN, United States.
  • Chen Wang
    Department of Cardiovascular Surgery, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China.

Keywords

External Resources

Popular Topics
Recent Journals