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.
Age ≥18 years
Admission to emergency department at a participating center
Polymedicated patients with prescriptions including ≥8 medication lines (including those for long-term illnesses)
Signed informed consent
Patient under legal protection/judicial measures (guardianship/custody)
Lack of signed informed consent
Parallel
current hospital-standard databases
Other interventionPrescription management using current hospital-standard databases and tools
Posos
DevicePrescription management supported by POSOS device (OCR+AI) for structured data entry and clinical decision support
Medical time required for the transcription of prescriptions
Medical time required for the transcription of prescriptions for at-risk polymedicated patients at emergency admission. This is measured by the duration needed to transcribe prescriptions into the structured electronic health record by physicians, assessed by direct observation with a stopwatch
Number of drug-related problems (DRPs) identified per patient
Proportion and type of transcription errors (medication name or dosage)
Identification of DRPs by subtype and severity
Rate of reconciled medication histories and structured documentation
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Centre Hospitalier Universitaire, Amiens
Lead sponsor
Centre Hospitalier Public du Cotentin
Collaborator
University Hospital, Bordeaux
Collaborator
University Hospital, Strasbourg, France
Collaborator
Clinique de l'Estrée
Collaborator
CHU Aix-en-Provence
Collaborator
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