This paper is in the following e-collection/theme issue:

Proposals (eHealth) (80) Clinical Informatics (1050) Artificial Intelligence (1430) Adoption and Change Management of eHealth Systems (731) Clinical Communication, Electronic Consultation and Telehealth (617) E-Health Policy and Health Systems Innovation (243)

Published on in Vol 12 (2023)

This is a member publication of Imperial College London (Jisc)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/49374, first published .
Investigating the Impact of Automation on the Health Care Workforce Through Autonomous Telemedicine in the Cataract Pathway: Protocol for a Multicenter Study

Investigating the Impact of Automation on the Health Care Workforce Through Autonomous Telemedicine in the Cataract Pathway: Protocol for a Multicenter Study

Investigating the Impact of Automation on the Health Care Workforce Through Autonomous Telemedicine in the Cataract Pathway: Protocol for a Multicenter Study

Authors of this article:

Sarah Khavandi1, 2, 3 Author Orcid Image ;   Fatema Zaghloul4 Author Orcid Image ;   Aisling Higham1, 5 Author Orcid Image ;   Ernest Lim1, 6 Author Orcid Image ;   Nick de Pennington1 Author Orcid Image ;   Leo Anthony Celi7, 8, 9 Author Orcid Image
Article Authors Cited by (1) Tweetations (2) Metrics

Sarah Khavandi   1, 2, 3 * , BSc, MBBS ;   Fatema Zaghloul   4 * , MSc, PhD ;   Aisling Higham   1, 5 , BSc, MBBS ;   Ernest Lim   1, 6 , BSc, MBBS ;   Nick de Pennington   1 , BM BCh, MA, EMBA ;   Leo Anthony Celi   7, 8, 9 , MD, MS, MPH

1 Ufonia, Oxford, United Kingdom

2 Gloucestershire Hospitals NHS Foundation Trust, Cheltenham, United Kingdom

3 Imperial College School of Medicine, Imperial College London, London, United Kingdom

4 Operations and Management Science, Healthcare and Innovation, University of Bristol, Bristol, United Kingdom

5 Royal Berkshire NHS Foundation Trust, Reading, United Kingdom

6 Department of Computer Science, University of York, York, United Kingdom

7 Laboratory for Computational Physiology, Massachusetts Institute of Technology, Cambridge, MA, United States

8 Division of Pulmonary, Critical Care and Sleep Medicine, Beth Israel Deaconess Medical Center, Boston, MA, United States

9 Department of Biostatistics, Harvard TH Chan School of Public Health, Boston, MA, United States

*these authors contributed equally

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