Technology-Enabled and Artificial Intelligence Support for Pre-Visit Planning in Ambulatory Care: Findings From an Environmental Scan.

Journal: Annals of family medicine
Published Date: Jan 1, 2021

Abstract

PURPOSE: Pre-visit planning (PVP) is believed to improve effectiveness, efficiency, and experience of care, yet numerous implementation barriers exist. There are opportunities for technology-enabled and artificial intelligence (AI) support to augment existing human-driven PVP processes-from appointment reminders and pre-visit questionnaires to pre-visit order sets and care gap closures. This study aimed to explore the current state of PVP, barriers to implementation, evidence of impact, and potential use of non-AI and AI tools to support PVP.

Authors

  • Laura M Holdsworth
    Division of Primary Care and Population Health, Stanford School of Medicine, Stanford, California l.holdsworth@stanford.edu.
  • Chance Park
    University of British Columbia, Vancouver, British Columbia, Canada.
  • Steven M Asch
    Center for Innovation to Implementation, VA Palo Alto Health Care System, Menlo Park, CA; Division of General Medical Disciplines, Stanford University, Stanford, CA.
  • Steven Lin
    Stanford University School of Medicine.

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