Study to Evaluate the RedScar App for Detecting Surgical Wound Infections Using AI Comparing Remote Monitoring With In-Person Visits After Abdominal Surgery

What this Trial Is About

This research aims to evaluate the effectiveness of the RedScar app in detecting and monitoring surgical site infections SSIs after abdominal surgery. SSIs are a common healthcare-associated infection with significant health and economic impacts. The study is a multicenter, prospective trial designed to validate the apps performance compared to standard in-person evaluations. It seeks to improve postoperative care by providing automated infection risk assessments via patients smartphones without needing clinician input. Participants will be divided into two groups one using the RedScar app for telematic follow-up and the other attending traditional in-person clinic visits. Patients using the app will complete a brief health questionnaire and upload photos of their surgical wounds, which the app analyzes for infection risk. Both groups will be assessed at specified intervals, including an 8-week treatment period. The study also evaluates patient satisfaction and aims to standardize telematic follow-up across multiple centers. Throughout the study, participants will undergo follow-up consultations either remotely via the app or in-person at surgical outpatient clinics. Data collection includes wound photographs, health questionnaires, and infection assessments. Researchers will analyze diagnostic accuracy using statistical methods, focusing on sensitivity and specificity of the apps detection capabilities. Patient satisfaction and overall experience will also be measured, with all monitoring occurring from enrollment through 8 weeks post-treatment.

Multicenter Study Protocol: Research on Evaluation and Detection of Surgical Wound Complications with AI-based Recognition. (REDSCAR-trial)