机器人过程自动化用于识别患有外科手术期间心肌梗塞或损伤高风险的患者:一项前性,盲目,对联的读者控制单中心研究
Koray Durak1, Katrin Burri-Winkler2, Gabrielle Huré1
1Department of Cardiology and Cardiovascular Research Institute Basel (CRIB), University Hospital Basel, University of Basel, Basel, Switzerland.
British journal of anaesthesia
|August 1, 2025
概括
机器人过程自动化 (RPA) 显著改善了对心肌梗塞或损伤监测高风险患者的识别,优于手动查. 这种具有成本效益的技术通过早期检测和干预来提高患者的安全性.
科学领域:
- 心脏病学 心脏病学
- 医疗信息学 医疗信息学
- 医疗技术 医疗技术 医学技术
背景情况:
- 目前的指导方针建议在高风险患者中对外科手术期间的心肌梗塞/损伤进行积极监测.
- 由于资源限制,全球范围内实施是有限的.
- 机器人过程自动化 (RPA) 为自动化任务复制提供了一个潜在的解决方案.
研究的目的:
- 评估RPA在识别高风险患者进行主动监测方面的准确性和效率.
- 将RPA查与经验丰富的临床工作人员手动查进行比较.
主要方法:
- 同时和盲目的手动和RPA查患者.
- 根据预先定义的肌动脉梗塞/损伤标准,确定高风险患者.
- 独立的临床医生审查,以建立一个参考标准.
- 主要终点:相对真正正分数.
主要成果:
- RPA查发现了97%的高风险患者,而手动查的82% (相对真正阳性分数:1.19,P=0.004).
- RPA表现出高灵敏度 (0.97) 和高特异性 (0.98).
- 与手动查相比,RPA查的估计年度成本降低了81%.
结论:
- RPA查优于手动查,用于识别患有外科手术期间心肌梗塞或损伤高风险的患者.
- RPA为实施主动监控协议提供了更准确,更敏感和更具成本效益的解决方案.
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