人工智能在术后与药物相关的临床决策支持中
1Department of Anesthesia, Critical Care and Pain Medicine, Massachusetts General Hospital, Boston, MA, USA.
Anesthesiology clinics
|August 2, 2025
概括
临床决策支持 (CDS) 可以防止在手术室 (OR) 中大多数药物错误. 人工智能 (AI) 集成到CDS中需要更多的数据和监管部门的批准才能广泛使用.
科学领域:
- 医疗保健技术 医疗保健技术 医疗保健技术
- 患者安全 患者安全
- 医疗信息学医学信息学
背景情况:
- 在手术室 (OR) 中的药物错误造成了严重的患者伤害风险.
- 临床决策支持 (CDS) 有效地减少了手术室外的药物错误.
- 在外科手术期间出现的药物错误是提高安全性的关键领域.
研究的目的:
- 评估临床决策支持 (CDS) 在预防手术室 (OR) 内的药物错误方面的潜力.
- 探索人工智能 (AI) 在增强术后安全的CDS中的作用.
- 确定在偏远地区实施人工智能驱动的CDS的障碍和要求.
主要方法:
- 关于CDS在预防药物错误方面的有效性现有文献的审查.
- 对人工智能的潜在应用和整合到外科手术 CDS 的分析.
- 讨论数据要求,监管考虑和CDS中人工智能的人类监督.
主要成果:
- CDS有可能预防高达95%的术后药物错误.
- 人工智能可以增强CDS在数据分析,风险分层和患者监测方面的能力.
- 存在重大挑战,包括需要广泛采用外科手术期间的CDS,以生成足够的AI培训数据.
结论:
- 临床决策支持 (CDS) 提供了一个有希望的策略,以减轻在手术室 (OR) 的药物错误.
- 人工智能 (AI) 集成到CDS中需要大量的周边操作数据和监管框架.
- 人类监督和广泛的CDS实施对于人工智能在OR安全的成功部署至关重要.
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