An Ontology for Cardiothoracic Surgical Education and Clinical Data Analytics.

Journal: Studies in health technology and informatics
PMID: 35612107

Abstract

The development of an ontology facilitates the organization of the variety of concepts used to describe different terms in different resources. The proposed ontology will facilitate the study of cardiothoracic surgical education and data analytics in electronic medical records (EMR) with the standard vocabulary.

Authors

  • Maryam Panahiazar
    Robert D. and Patricia E. Kern Center for the Science of Health Care Delivery, Mayo Clinic, Rochester, MN, USA.
  • Yorick Chern
    Department of Bioengineering, University of California Berkeley, Berkeley, CA, USA.
  • Ramon Riojas
    Department of Surgery, Division of Cardiothoracic Surgery, School of Medicine, University of California San Francisco, San Francisco, CA, USA.
  • Omar S Latif
    Internal Medicine, Mayo Clinic, Rochester, MN 55905, USA. Electronic address: Latif.Omar@mayo.edu.
  • Usha Lokala
    University of South Carolina, Columbia, South Carolina, United States of America.
  • Dexter Hadley
    Institute for Computational Health Sciences, University of California, San Francisco.
  • Amit Sheth
    AI Institute, University of South Carolina, Columbia, SC, United States.
  • Ramin E Beygui
    Department of Surgery, Division of Cardiothoracic Surgery, School of Medicine, University of California San Francisco, San Francisco, CA, USA.

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