Digital wound monitoring with artificial intelligence to prioritise surgical wounds in cardiac surgery patients for priority or standard review: protocol for a randomised feasibility trial (WISDOM)

Authors

Keith Wilson (ORCID: https://orcid.org/0000-0003-3940-8567)
Roy Harris
L. H. Mason (ORCID: https://orcid.org/0000-0001-9815-5411)
Judith Tanner (ORCID: https://orcid.org/0000-0003-0023-3149)
Jacqueline Beckhelling (ORCID: https://orcid.org/0000-0002-5898-8678)
Melissa Rochon (ORCID: https://orcid.org/0000-0002-1101-2256)
Sarah E. Bolton (ORCID: https://orcid.org/0000-0003-2582-6370)
Karen Cariaga (ORCID: https://orcid.org/0009-0006-5525-2362)
Luxmi Dhoonmoon
James Jurkiewicz
Janet Bouttell
Jon Dummer

Institutions

Department of Health and Social Care (GB)
University of Nottingham (GB)
University of Liverpool (GB)
Guy's and St Thomas' NHS Foundation Trust (GB)
Central and North West London NHS Foundation Trust (GB)
Nottinghamshire Healthcare NHS Foundation Trust (GB)
Liverpool Heart and Chest Hospital (GB)
East Midlands Academic Health Science Network (GB)
NIHR Nottingham Hearing Biomedical Research Unit (GB)
Nottingham Biomedical Research Centre (GB)
University Hospitals of Derby and Burton NHS Foundation Trust (GB)

Publication Details

Journal: BMJ Open
Published: 2024-09-01
DOI: https://doi.org/10.1136/bmjopen-2024-086486
Citations: 14
Primary Topic: Surgical site infection prevention
Type: article
Field-Weighted Citation Impact: 8.02

Funders

National Institute for Health and Care Research
Invention for Innovation Programme
Invention for Innovation

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article

Digital wound monitoring with artificial intelligence to prioritise surgical wounds in cardiac surgery patients for priority or standard review: protocol for a randomised feasibility trial (WISDOM)

Keith Wilson, Roy Harris, L. H. Mason, Judith Tanner et al.

Sep 1, 2024

14 citations

BMJ Open

Surgical site infection prevention

8.02

article

Digital wound monitoring with artificial intelligence to prioritise surgical wounds in cardiac surgery patients for priority or standard review: protocol for a randomised feasibility trial (WISDOM)

Keith Wilson, Roy Harris, L. H. Mason, Judith Tanner, Jacqueline Beckhelling, Melissa Rochon, Sarah E. Bolton, Karen Cariaga, Luxmi Dhoonmoon, James Jurkiewicz, Janet Bouttell, Jon Dummer

September 1, 2024article en

14 citations

Abstract

No abstract available for this paper.

BMJ OpenVol. 14(9)

Department of Health and Social Care (GB), University of Nottingham (GB), University of Liverpool (GB), Guy's and St Thomas' NHS Foundation Trust (GB), Central and North West London NHS Foundation Trust (GB), Nottinghamshire Healthcare NHS Foundation Trust (GB), Liverpool Heart and Chest Hospital (GB), East Midlands Academic Health Science Network (GB), NIHR Nottingham Hearing Biomedical Research Unit (GB), Nottingham Biomedical Research Centre (GB), University Hospitals of Derby and Burton NHS Foundation Trust (GB)

National Institute for Health and Care Research, Invention for Innovation Programme, Invention for Innovation

Life below water

Openalex Percentile: Top 2%

Surgical site infection prevention

8.02

DOI Open Access PDF OpenAlex

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Digital wound monitoring with artificial intelligence to prioritise surgical wounds in cardiac surgery patients for priority or standard review: protocol for a randomised feasibility trial (WISDOM) — Keith Wilson, Roy Harris, et al. · BMJ Open (2024) | TGRS Research Map | TGRS