[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"health-study-detail:100575395":3},{"organization":4,"armGroups":7,"interventions":19,"overallOfficials":18,"centralContacts":25,"locations":35,"responsibleParty":80,"collaborators":18,"id":84,"slug":18,"hasResults":85,"nctId":86,"briefTitle":87,"officialTitle":88,"acronym":89,"eligibilityCriteria":90,"healthyVolunteers":85,"sex":91,"minAge":92,"maxAge":18,"enrollmentInfo":93,"targetDuration":18,"studyType":96,"phases":97,"briefSummary":100,"conditions":101,"keywords":103,"overallStatus":50,"whyStopped":18,"lastUpdateSubmitDate":108,"lastUpdatePostDateStruct":109,"startDateStruct":112,"completionDateStruct":114,"leadSponsor":116,"locationsCount":117},{"fullName":5,"class":6},"Universitat de les Illes Balears","OTHER",[8,14],{"label":9,"type":10,"description":11,"interventionNames":12},"Redscar app","EXPERIMENTAL","Telematic follow-up with App",[13],"Device: RedScar App",{"label":15,"type":16,"description":17,"interventionNames":18},"In-Person","NO_INTERVENTION","In-person visit to the clinics",null,[20],{"type":21,"name":22,"description":23,"armGroupLabels":24,"otherNames":18},"DEVICE","RedScar App","use of the RedScar© app on patients' smartphones. Patients will complete a brief health questionnaire and upload a wound photograph to the app, which will provide recommendations based on the risk of infection detected. Simultaneously, an in-person wound assessment will be conducted by the investigator to compare results.",[9],[26,31],{"name":27,"role":28,"phone":29,"phoneExt":18,"email":30},"Andrea Craus-Miguel, MD, cPhD","CONTACT","0034 661115968","acrausm@gmail.com",{"name":32,"role":28,"phone":33,"phoneExt":18,"email":34},"Juan José Segura-Sampedro, MD, PhD","0034 637028024","juanjose.segura@salud.madrid.org",[36,48,59,67,75],{"facility":37,"status":38,"city":39,"state":18,"zip":18,"country":40,"countryCode":41,"cosmosGeoPoint":42,"geoPoint":47,"contacts":18},"Hospital de Fuenlabrada","COMPLETED","Madrid","Spain","ES",{"type":43,"coordinates":44},"Point",[45,46],-3.70256,40.4165,{"lat":46,"lon":45},{"facility":49,"status":50,"city":39,"state":18,"zip":18,"country":40,"countryCode":41,"cosmosGeoPoint":51,"geoPoint":53,"contacts":54},"Hospital Universitario Severo Ochoa","RECRUITING",{"type":43,"coordinates":52},[45,46],{"lat":46,"lon":45},[55],{"name":56,"role":28,"phone":57,"phoneExt":18,"email":58},"Mikel Rojo","0034 914 81 80 00","mrojoabecia@gmail.com",{"facility":60,"status":50,"city":61,"state":18,"zip":18,"country":40,"countryCode":41,"cosmosGeoPoint":18,"geoPoint":18,"contacts":62},"Hospital General Mateu Orfila","Mahón",[63],{"name":64,"role":28,"phone":65,"phoneExt":18,"email":66},"Fernando Alcaide Matas","0034 971 48 70 00","fernando.alcaide@hgmo.es",{"facility":68,"status":38,"city":69,"state":18,"zip":18,"country":40,"countryCode":41,"cosmosGeoPoint":70,"geoPoint":74,"contacts":18},"Hospital Universitario Son Espases","Palma",{"type":43,"coordinates":71},[72,73],2.65024,39.56939,{"lat":73,"lon":72},{"facility":76,"status":38,"city":69,"state":18,"zip":18,"country":40,"countryCode":41,"cosmosGeoPoint":77,"geoPoint":79,"contacts":18},"Universidad Islas Baleares",{"type":43,"coordinates":78},[72,73],{"lat":73,"lon":72},{"type":81,"investigatorFullName":82,"investigatorTitle":83,"investigatorAffiliation":5,"oldNameTitle":18,"oldOrganization":18},"PRINCIPAL_INVESTIGATOR","Andrea Craus","Principal Investigator","100575395",false,"NCT06771726","Multicenter Study Protocol: Research on Evaluation and Detection of Surgical Wound Complications with AI-based Recognition. (REDSCAR-trial)","Multicenter Study Protocol: Research on Evaluation and Detec-tion of Surgical Wound Complications with AI-based Recogni-tion. (REDSCAR-trial)","REDSCAR","Inclusion Criteria:\n\n* Participants must have signed an informed consent.\n* Participants must be over 18 years of age.\n* Participants must have undergone either urgent or scheduled surgery performed via laparotomy or laparoscopy.\n* Participants need access to a smartphone capable of downloading the app with android OS.\n* Either the participant or a close family member must be able to operate the app effectively.\n* Participants must be able to attend follow-up consultations at the surgical outpatient clinic after discharge, one week post-surgery, or earlier if the app flags a potential infection.\n\nExclusion Criteria:\n\n* Patients who lack access to a smartphone or are unable to properly use the app.\n* Patients unfamiliar with mobile devices or unable to comprehend the app's functionality or questions.\n* Patients who did not provide informed consent.\n* Patients who are unable to comply with the follow-up requirements.","ALL","18 Years",{"count":94,"type":95},168,"ESTIMATED","INTERVENTIONAL",[98,99],"PHASE2","PHASE3","The increasing use of telemedicine in surgical care has demonstrated significant poten-tial for improving patient outcomes and optimizing healthcare resources. This study investigates the efficacy of the RedScar© app in telematic detection and monitoring of surgical site infections (SSIs), a major cause of healthcare-associated infections (HAIs) with significant economic and health impacts. RedScar© leverages a patient's smartphone to provide automated infection risk assessments without requiring clini-cian input, offering a potential solution for remote postoperative care. In a pilot study, RedScar© demonstrated 100% sensitivity and 83.13% specificity in detecting SSIs, with high patient satisfaction regarding its comfort, cost-effectiveness, and ability to reduce absenteeism. This multicenter prospective study aims to validate these findings, com-paring app-based detection with in-person evaluations. Primary objectives include as-sessing the sensitivity and specificity of RedScar© using receiver operating character-istic (ROC) analysis, while secondary objectives include evaluating patient satisfaction and standardizing telematic follow-up across centers. The study will include 168 pa-tients undergoing abdominal surgery, with follow-up assessments conducted remotely via the app and in-person at specified intervals. Data will be analysed using descrip-tive and statistical methods to assess diagnostic accuracy and patient satisfaction. This research seeks to further develop RedScar© as a reliable, scalable tool for enhancing postoperative care, reducing healthcare costs, and improving patient experiences in surgical recovery.",[102],"Surgical Wound Infection",[104,105,106,107],"surgical wound infection","Telemedicine","smartphone application","artificial intelligence","2025-01-16",{"date":110,"type":111},"2025-01-20","ACTUAL",{"date":113,"type":111},"2024-01-01",{"date":115,"type":95},"2025-12",{"name":5,"class":6},5]