An Ontology for Digital Medicine Outcomes: Development of the Digital Medicine Outcomes Value Set (DOVeS).

Journal: JMIR medical informatics
PMID:

Abstract

BACKGROUND: Over the last 10-15 years, US health care and the practice of medicine itself have been transformed by a proliferation of digital medicine and digital therapeutic products (collectively, digital health tools [DHTs]). While a number of DHT classifications have been proposed to help organize these tools for discovery, retrieval, and comparison by health care organizations seeking to potentially implement them, none have specifically addressed that organizations considering their implementation approach the DHT discovery process with one or more specific outcomes in mind. An outcomes-based DHT ontology could therefore be valuable not only for health systems seeking to evaluate tools that influence certain outcomes, but also for regulators and vendors seeking to ascertain potential substantial equivalence to predicate devices.

Authors

  • Benjamin Rosner
    Division of Clinical Informatics and Digital Transformation, University of California San Francisco, San Francisco, CA, United States.
  • Matthew Horridge
    Stanford Center for Biomedical Informatics Research, Stanford University, Stanford, CA, United States.
  • Guillen Austria
    School of Public Health, University of California Berkeley, Berkeley, CA, United States.
  • Tiffany Lee
    Division of Hospital Medicine, University of California San Francisco, San Francisco, CA, United States.
  • Andrew Auerbach
    Division of Hospital Medicine, University of California, San Francisco, CA 94143.