Kruger Grant H, Tremper Kevin K
Department of Anesthesiology, University of Michigan Medical School, Ann Arbor, MI 48109-5048, USA.
Anesthesiol Clin. 2011 Sep;29(3):487-504. doi: 10.1016/j.anclin.2011.05.004. Epub 2011 Jul 21.
Intelligent medical displays have the potential to improve patient outcomes by integrating multiple physiologic signals, exhibiting high sensitivity and specificity, and reducing information overload for physicians. Research findings have suggested that information overload and distractions caused by patient care activities and alarms generated by multiple monitors in acute care situations, such as the operating room and the intensive care unit, may produce situations that negatively impact the outcomes of patients under anesthesia. This can be attributed to shortcomings of human-in-the-loop monitoring and the poor specificity of existing physiologic alarms. Modern artificial intelligence techniques (ie, intelligent software agents) are demonstrating the potential to meet the challenges of next-generation patient monitoring and alerting.
智能医疗显示器有潜力通过整合多种生理信号、展现高灵敏度和特异性以及减少医生的信息过载来改善患者预后。研究结果表明,在手术室和重症监护病房等急性护理场景中,患者护理活动以及多个监护仪产生的警报所导致的信息过载和干扰,可能会产生对麻醉患者的预后产生负面影响的情况。这可归因于人工参与监测的缺点以及现有生理警报的特异性较差。现代人工智能技术(即智能软件代理)正显示出应对下一代患者监测和警报挑战的潜力。