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

Condition(s) studied

Investigational drug(s) / intervention(s)

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

Study 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.

Eligibility

Primary outcome measure(s)

• Medical time required for the transcription of prescriptions — Day 1
  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

Trial sites (1)

More Centre Hospitalier Universitaire, Amiens trials in France

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