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Optimization of Medical Time in the Emergency Department: Impact of an AI-Based System on Prescription Entry
Sponsor: Centre Hospitalier Universitaire, Amiens
Summary
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.
Key Details
Gender
All
Age Range
18 Years - Any
Study Type
INTERVENTIONAL
Enrollment
770
Start Date
2026-01
Completion Date
2027-01
Last Updated
2026-01-08
Healthy Volunteers
No
Conditions
Interventions
current hospital-standard databases
Prescription management using current hospital-standard databases and tools
Posos
Prescription management supported by POSOS device (OCR+AI) for structured data entry and clinical decision support
Locations (1)
CHU Amiens
Amiens, France