Imperial College London
Portrait Picture

Dr James Kinross

Faculty of Medicine, Department of Surgery & Cancer

Reader in General Surgery
 
 
 
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Contact

 

+44 (0)20 3312 1947j.kinross

 
 
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Location

 

1029Queen Elizabeth the Queen Mother Wing (QEQM)St Mary's Campus

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Summary

 

Publications

Citation

BibTex format

@article{Lam:2021:10.2196/26552,
author = {Lam, K and Iqbal, F and Purkayastha, S and Kinross, J},
doi = {10.2196/26552},
journal = {JMIR Research Protocols},
title = {A protocol for a Delphi study investigating the ethical and data governance issues of artificial intelligence in surgery},
url = {http://dx.doi.org/10.2196/26552},
volume = {10},
year = {2021}
}
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RIS format (EndNote, RefMan)

TY  - JOUR
AB  - Background: The rapid uptake of digital technology into the operating room has the potential to improve patient outcomes, increase efficiency of the use of operating rooms, and allow surgeons to progress quickly up learning curves. These technologies are, however, dependent on huge amounts of data, and the consequences of their mismanagement are significant. While the field of artificial intelligence ethics is able to provide a broad framework for those designing and implementing these technologies into the operating room, there is a need to determine and address the ethical and data governance challenges of using digital technology in this unique environment.Objective: The objectives of this study are to define the term digital surgery and gain expert consensus on the key ethical and data governance issues, barriers, and future research goals of the use of artificial intelligence in surgery.Methods: Experts from the fields of surgery, ethics and law, policy, artificial intelligence, and industry will be invited to participate in a 4-round consensus Delphi exercise. In the first round, participants will supply free-text responses across 4 key domains: ethics, data governance, barriers, and future research goals. They will also be asked to provide their understanding of the term digital surgery. In subsequent rounds, statements will be grouped, and participants will be asked to rate the importance of each issue on a 9-point Likert scale ranging from 1 (not at all important) to 9 (critically important). Consensus is defined a priori as a score of 7 to 9 by 70% of respondents and 1 to 3 by less than 30% of respondents. A final online meeting round will be held to discuss inclusion of statements and draft a consensus document.Results: Full ethical approval has been obtained for the study by the local research ethics committee at Imperial College, London (20IC6136). We anticipate round 1 to commence in January 2021.Conclusions: The results of this study will define the t
AU  - Lam,K
AU  - Iqbal,F
AU  - Purkayastha,S
AU  - Kinross,J
DO  - 10.2196/26552
PY  - 2021///
SN  - 1929-0748
TI  - A protocol for a Delphi study investigating the ethical and data governance issues of artificial intelligence in surgery
T2  - JMIR Research Protocols
UR  - http://dx.doi.org/10.2196/26552
UR  - http://hdl.handle.net/10044/1/87039
VL  - 10
ER  -
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