Optimization of Medical Time in the Emergency Department: Impact of an AI-Based System on Prescription Entry
试验速览
- 阶段
- 不适用
- 状态
- 尚未招募
- 入组人数
- 770
- 试验地点
- 1
- 主要终点
- Medical time required for the transcription of prescriptions
研究概览
简要总结
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.
研究设计
- 研究类型
- Interventional
- 分配方式
- Randomized
- 干预模型
- Parallel
- 主要目的
- Other
- 盲法
- None
入排标准
- 年龄范围
- 18 Years 至 —（Adult, Older Adult）
- 性别
- All
- 接受健康志愿者
- 否
入选标准
- •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
排除标准
- •Patient under legal protection/judicial measures (guardianship/custody)
- •Lack of signed informed consent
结局指标
主要结局
Medical time required for the transcription of prescriptions
时间窗: 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
次要结局
- Number of drug-related problems (DRPs) identified per patient(day 1)
- Identification of DRPs by subtype and severity(day 1)
- Rate of reconciled medication histories and structured documentation(day 1)
- Proportion and type of transcription errors (medication name or dosage)(day 1)
- Readmission rates(at 3 months)
- Mapping of DRPs by subtype and severity(day 1)
- Time delays between triage, anamnesis, and diagnosis(day 1)
- Length of emergency department stay and downstream hospitalizations(day 1)
- Overall survival(at 6 months)