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WISDOM publications

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BMJ Open: 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)

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

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PLOS One: Wound imaging software and digital platform to assist review of surgical wounds using patient smartphones: The development and evaluation of artificial intelligence

(WISDOM AI study)

Our study shows that AI-supported remote monitoring can play a vital role in improving post-operative wound care as wound healing concerns and outpatient procedures continue to rise. We validated an AI algorithm designed to flag surgical wound images that need priority review, achieving a sensitivity of 89%—surpassing our target and demonstrating strong potential for timely triage and intervention. The algorithm also showed excellent intra-rater reliability, confirming its consistency and suitability for real-world clinical use.

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The Journal of Hospital Infection : AI-enabled digital wound monitoring after cardiac surgery: a randomised controlled feasibility, safety, and acceptability trial

We are pleased to share the results of our recently published study evaluating AI-enabled digital wound monitoring following cardiac surgery.

This randomised controlled feasibility trial demonstrated that remote wound monitoring using the Isla platform and artificial intelligence was feasible, safe, and acceptable to both patients and healthcare professionals. The findings support further research into the use of digital technologies to improve postoperative wound care and the early detection of surgical site infections.

Read the full open-access publication here:

Relevant studies and publications

NWCSP and the Patient Experience Network Resources

Leaflets available in 13 different languages for patients/carers taking wound photos.

Image-based digital post-discharge surveillance in England

Measuring patient enrolment, engagement, clinician response times, surgical site infection, and carbon footprint.

A podcast on Infection Control Matters, with Martin Kiernan

Martin talks to Melissa Rochon and Prof Judith Tanner about their recent paper in the Journal of Hospital Infection that reports on the use of patient-generated images in SSI surveillance.

Post discharge surgical site infection surveillance using smartphones: a single centre experience in cardiac surgery.

British Journal of Cardiac Surgery 2024

Barriers and facilitators for surgical site infection surveillance for adult cardiac surgery in a high-income setting: an in-depth exploration

Journal of Hospital Infection 2023

Digital tools for post-discharge surveillance of surgical site infection: scoping review

Journal of Advanced Nursing 2023

Image-based digital post-discharge surveillance in England: measuring patient enrolment, engagement, clinician response times, surgical site infection, and carbon footprint

Journal of Hospital Infection 2023

A quality improvement approach to reducing readmission for surgical site infections

Wounds UK 2016

Using artificial intelligence to improve wound image quality: a feasibility study

Wounds UK 2020

CASSIS Implementing smartphone technology in practice using the Collaborative for Surgical Site Infection Surveillance (CASSIS) project: preliminary findings

Wounds UK 2022

Five years on: a national patients and public involvement audit and economic assessment of photo at discharge

Wounds UK 2019

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