[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"health-study-detail:100571914":3},{"organization":4,"armGroups":7,"interventions":19,"overallOfficials":24,"centralContacts":29,"locations":35,"responsibleParty":68,"collaborators":18,"id":71,"slug":72,"hasResults":73,"nctId":74,"briefTitle":75,"officialTitle":76,"acronym":77,"eligibilityCriteria":78,"healthyVolunteers":73,"sex":79,"minAge":80,"maxAge":81,"enrollmentInfo":82,"targetDuration":18,"studyType":85,"phases":86,"briefSummary":88,"conditions":89,"keywords":91,"overallStatus":38,"whyStopped":18,"lastUpdateSubmitDate":96,"lastUpdatePostDateStruct":97,"startDateStruct":100,"completionDateStruct":102,"leadSponsor":104,"locationsCount":105},{"fullName":5,"class":6},"Universidad Autonoma de Madrid","OTHER",[8,14],{"label":9,"type":10,"description":11,"interventionNames":12},"Artificial Intelligence Tool","EXPERIMENTAL","The health centers assigned to this group will implement an artificial intelligence (AI) tool for clinical registration during outpatient consultations. Healthcare professionals will activate the tool at the beginning of the consultation and deactivate it at the end. The tool will be used to document interactions in real time, generating more detailed records and reducing the administrative burden.",[13],"Device: Artificial Intelligence Tool",{"label":15,"type":16,"description":17,"interventionNames":18},"Standard of care","NO_INTERVENTION","In the centers assigned to this group, consultations will be carried out in the usual way, using traditional clinical recording methods, without additional technological intervention. This group will serve as a reference to compare differences in satisfaction, duration of consultations and quality of the clinical record.",null,[20],{"type":21,"name":9,"description":22,"armGroupLabels":23,"otherNames":18},"DEVICE","The intervention in this study consists of the implementation of an artificial intelligence tool for clinical registration during outpatient consultations. This technology facilitates the documentation of interactions in real time, optimizing the workflow of professionals and enabling more patient-centered care.",[9],[25],{"name":26,"affiliation":27,"role":28},"Raul Ferrer, PhD","Senior Lecturer and Investigator","PRINCIPAL_INVESTIGATOR",[30],{"name":31,"role":32,"phone":33,"phoneExt":18,"email":34},"Raúl Ferrer-Peña, PhD","CONTACT","+34607712148","raul.ferrer@salud.madrid.org",[36,55],{"facility":37,"status":38,"city":39,"state":40,"zip":41,"country":42,"countryCode":43,"cosmosGeoPoint":44,"geoPoint":49,"contacts":50},"ACES Centers","RECRUITING","Barcelona","Catalonia","28500","Spain","ES",{"type":45,"coordinates":46},"Point",[47,48],2.15899,41.38879,{"lat":48,"lon":47},[51],{"name":52,"role":32,"phone":53,"phoneExt":18,"email":54},"Raúl Ferrer Peña","607712148","drraulferrer@gmail.com",{"facility":56,"status":57,"city":58,"state":58,"zip":59,"country":42,"countryCode":43,"cosmosGeoPoint":60,"geoPoint":64,"contacts":65},"CSEU La Salle - UAM","NOT_YET_RECRUITING","Madrid","28018",{"type":45,"coordinates":61},[62,63],-3.70256,40.4165,{"lat":63,"lon":62},[66],{"name":31,"role":32,"phone":33,"phoneExt":18,"email":67},"raul.ferrer@lasallecampus.es",{"type":28,"investigatorFullName":69,"investigatorTitle":70,"investigatorAffiliation":5,"oldNameTitle":18,"oldOrganization":18},"Raúl Ferrer-Peña","Dr. in Pain Research","100571914","artificial-intelligence-satisfaction-in-professionals-and-patients-100571914",false,"NCT06726447","Artificial Intelligence Satisfaction in Professionals and Patients","sAItisfACES - Impact of an Artificial Intelligence Tool on the Satisfaction of Professionals and Patients in Ambulatory Consultations: A Randomized Cluster Study","sAItisfACES","Inclusion Criteria:\n\n* Patients between 18 and 80 years of age.\n* Patients consulting for any health reason in the outpatient clinics of the centers participating in the study.\n* Patients who sign the informed consent to participate in the study.\n\nExclusion Criteria:\n\n* Patients who are unable to understand or complete the questionnaires, due to:\n* Language barriers.\n* Cognitive disabilities.\n* Any other reason that prevents their adequate participation.\n* Patients who are currently participating in other clinical trials or research studies that may interfere with the results of this study.","ALL","18 Years","80 Years",{"count":83,"type":84},148,"ESTIMATED","INTERVENTIONAL",[87],"NA","This multicenter cluster-randomized study evaluates the impact of an artificial intelligence (AI) tool on the satisfaction of healthcare professionals and patients in outpatient consultations, measuring its effect on perceived satisfaction (through a visual analog scale), the duration of consultations, and the quality and quantity of clinical data recorded. Adult patients (18-80 years) seen in outpatient centers will participate, comparing those using the AI tool with centers following the usual procedure. The tool is expected to reduce the administrative burden, improve user satisfaction and increase the efficiency and quality of the clinical registry. Recruitment will take place between December 2024 and May 2025, with final analysis planned for the end of 2025.",[90],"General Health Status",[92,93,94,95],"Artificial Intelligence","Patient Satisfaction","Medical Records Systems, Computerized","Health Care Quality, Access, and Evaluation","2026-02-25",{"date":98,"type":99},"2026-02-27","ACTUAL",{"date":101,"type":99},"2024-12-01",{"date":103,"type":84},"2026-12-01",{"name":5,"class":6},2]