Feasibility of an artificial intelligence phone call for postoperative care following cataract surgery in a diverse population: two phase prospective study protocol.

Journal: BMJ open ophthalmology
PMID: 38199790

Abstract

INTRODUCTION: Artificial intelligence (AI) development has led to improvements in many areas of medicine. Canada has workforce pressures in delivering cataract care. A potential solution is using AI technology that can automate care delivery, increase effectiveness and decrease burdens placed on patients and the healthcare system. This study assesses the use of 'Dora', an example of an AI assistant that is able to deliver a regulated autonomous, voice-based, natural-language consultation with patients over the telephone. Dora is used in routine practice in the UK, but this study seeks to assess the safety, usability, acceptability and cost-effectiveness of using the technology in Canada.

Authors

  • Amin Hatamnejad
    McMaster University Michael G DeGroote School of Medicine, Hamilton, Ontario, Canada.
  • Aisling Higham
    Ufonia Limited, Oxford, UK.
  • Sohel Somani
    Department of Opthalmology and Vision Sciences, Temerty Faculty of Medicine, University of Toronto, Toronto, Ontario, Canada.
  • Eric S Tam
    Department of Opthalmology and Vision Sciences, Temerty Faculty of Medicine, University of Toronto, Toronto, Ontario, Canada.
  • Ernest Lim
    Imperial College Healthcare NHS Trust, London, United Kingdom.
  • Sarah Khavandi
    Ufonia Limited, Oxford, UK.
  • Nick de Pennington
    Ufonia Limited, Oxford, United Kingdom.
  • Hannah H Chiu
    McMaster University Michael G DeGroote School of Medicine, Hamilton, Ontario, Canada hannah.chiu@mail.utoronto.ca.

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