[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"health-study-detail:100616930":3},{"organization":4,"armGroups":7,"interventions":20,"overallOfficials":25,"centralContacts":31,"locations":37,"responsibleParty":68,"collaborators":70,"id":82,"slug":83,"hasResults":84,"nctId":85,"briefTitle":86,"officialTitle":86,"acronym":87,"eligibilityCriteria":88,"healthyVolunteers":84,"sex":89,"minAge":90,"maxAge":25,"enrollmentInfo":91,"targetDuration":25,"studyType":94,"phases":95,"briefSummary":97,"conditions":98,"keywords":107,"overallStatus":117,"whyStopped":25,"lastUpdateSubmitDate":118,"lastUpdatePostDateStruct":119,"startDateStruct":122,"completionDateStruct":124,"leadSponsor":126,"locationsCount":127},{"fullName":5,"class":6},"Centre Hospitalier Universitaire, Amiens","OTHER",[8,14],{"label":9,"type":10,"description":11,"interventionNames":12},"Standard prescription","ACTIVE_COMPARATOR","Standard prescription management",[13],"Other: current hospital-standard databases",{"label":15,"type":16,"description":17,"interventionNames":18},"PoSOS","EXPERIMENTAL","POSOS-assisted prescription management",[19],"Device: Posos",[21,26],{"type":6,"name":22,"description":23,"armGroupLabels":24,"otherNames":25},"current hospital-standard databases","Prescription management using current hospital-standard databases and tools",[9],null,{"type":27,"name":28,"description":29,"armGroupLabels":30,"otherNames":25},"DEVICE","Posos","Prescription management supported by POSOS device (OCR+AI) for structured data entry and clinical decision support",[15],[32],{"name":33,"role":34,"phone":35,"phoneExt":25,"email":36},"Aurélien Mary, Pr","CONTACT","33+322088051","mary.aurélien@chu-amiens.fr",[38],{"facility":39,"status":25,"city":40,"state":25,"zip":41,"country":42,"countryCode":43,"cosmosGeoPoint":44,"geoPoint":49,"contacts":50},"CHU Amiens","Amiens","80480","France","FR",{"type":45,"coordinates":46},"Point",[47,48],2.3,49.9,{"lat":48,"lon":47},[51,54,57,60,62,64,66],{"name":33,"role":34,"phone":52,"phoneExt":25,"email":53},"03.22.08.83.71","mary.aurelien@chu-amiens.fr",{"name":55,"role":56,"phone":25,"phoneExt":25,"email":25},"Daniel Aiham Ghazali, Pr","SUB_INVESTIGATOR",{"name":58,"role":59,"phone":25,"phoneExt":25,"email":25},"Etienne QUOIRIN, MD","PRINCIPAL_INVESTIGATOR",{"name":61,"role":59,"phone":25,"phoneExt":25,"email":25},"Cédric GIL-JARDINE, MD",{"name":63,"role":59,"phone":25,"phoneExt":25,"email":25},"Jean-François LAUDE, MD",{"name":65,"role":59,"phone":25,"phoneExt":25,"email":25},"Nada DELOT-EL FAKHRI, MD",{"name":67,"role":59,"phone":25,"phoneExt":25,"email":25},"Bastien JULLIARD, MD",{"type":69,"investigatorFullName":25,"investigatorTitle":25,"investigatorAffiliation":25,"oldNameTitle":25,"oldOrganization":25},"SPONSOR",[71,74,76,78,80],{"name":72,"class":73},"Centre Hospitalier Public du Cotentin","UNKNOWN",{"name":75,"class":6},"University Hospital, Bordeaux",{"name":77,"class":6},"University Hospital, Strasbourg, France",{"name":79,"class":73},"Clinique de l'Estrée",{"name":81,"class":73},"CHU Aix-en-Provence","100616930","optimization-of-medical-time-in-the-emergency-department-impact-of-an-ai-based-system-on-prescription-entry-100616930",false,"NCT07312019","Optimization of Medical Time in the Emergency Department: Impact of an AI-Based System on Prescription Entry","YGénHIAL","Inclusion Criteria:\n\n* Age ≥18 years\n* Admission to emergency department at a participating center\n* Polymedicated patients with prescriptions including ≥8 medication lines (including those for long-term illnesses)\n* Signed informed consent\n\nExclusion Criteria:\n\n* Patient under legal protection\u002Fjudicial measures (guardianship\u002Fcustody)\n* Lack of signed informed consent","ALL","18 Years",{"count":92,"type":93},770,"ESTIMATED","INTERVENTIONAL",[96],"NA","Drug-related iatrogenesis is a major public health issue, accounting for a significant proportion of adverse events and hospitalizations in emergency departments. Optimizing prescription management in this context is critical to improve both patient safety and physician efficiency This study aims to evaluate the impact of the POSOS AI-driven device on the medical time required for prescription management in polymedicated patients admitted to emergency departments. The main objective is to establish whether the use of POSOS can reduce transcription time compared to standard electronic management.",[99,100,101,102,103,104,105,106],"Drug-related Iatrogenesis","Emergency Department","Artificial Intelligence","Clinical Decision Support","Prescription","Transcription","Medication","Reconciliation",[108,109,110,111,112,113,114,115,116],"Drug-related iatrogenesis","emergency department","artificial intelligence","clinical decision support","randomized trial","medication","reconciliation","prescription","transcription","NOT_YET_RECRUITING","2026-01-06",{"date":120,"type":121},"2026-01-08","ACTUAL",{"date":123,"type":93},"2026-01",{"date":125,"type":93},"2027-01",{"name":5,"class":6},1]