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Using AI Within Digital Wound Monitoring of Surgical Wounds to Prioritise Non-healing Wounds for Urgent Review

Guy's and St Thomas' NHS Foundation Trust · 2024
ClinicalTrials.gov · Datasets · License: Public Domain · 2024
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artificial-intelligenceheartinfection-controlnasurgerysurgical-site-infection
The goal of this clinical trial is to learn if artificial intelligence within digital wound monitoring of surgical wounds can prioritise non-healing wounds for urgent review in patients having first/redo CABG surgeries with or without additional cardiac procedures; could include any of the following: any gender, age ≥18. The main question it aims to answer is: Can investigators successfully develop artificial intelligence to prioritise images of patients' surgical wounds that are failing to heal or are infected, in order to facilitate early treatment? Researchers will compare the wound prioritisation module with standard care to determine safety and acceptability outcomes. Participants from the control group will: * Have standard post-operative wound care follow-up at day 30 (survey, interview and phone call) * Have standard post-operative wound care follow-up at day 60 (phone call) Participants from the intervention group will: * Use platform with new AI prioritisation module for 30 days after surgery * Be contacted via SMS text message seven days, fourteen days and twenty-one days after surgery with the link request remaining open for 6 days until the next request is sent out * Submit a photo of their wound and complete the UKHSA wound surveillance questionnaire * Have standard post-operative wound care follow-up at day 30 (survey, interview and phone call) * Have standard post-operative wound care follow-up at day 60 (phone call)
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