Optimization of Medical Time in the Emergency Department: Impact of an AI-Based System on Prescription Entry

Optimization of Medical Time in the Emergency Department: Impact of an AI-Based System on Prescription Entry

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.

Inclusion Criteria:

• 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

Exclusion Criteria:

• Patient under legal protection/judicial measures (guardianship/custody)
• Lack of signed informed consent