From the The Wilmer Eye Institute, Johns Hopkins University School of Medicine (Alnafisee, Zafar, Sikder), Baltimore, and the Department of Computer Science, Malone Center for Engineering in Healthcare, The Johns Hopkins University Whiting School of Engineering (Vedula), Baltimore, Maryland, USA.
J Cataract Refract Surg. 2021 Feb 1;47(2):256-264. doi: 10.1097/j.jcrs.0000000000000322.
Surgery is a major source of errors in patient care. Preventing complications from surgical errors in the operating room is estimated to lead to reduction of up to 41 846 readmissions and save $620.3 million per year. It is now established that poor technical skill is associated with an increased risk of severe adverse events postoperatively and traditional models to train surgeons are being challenged by rapid advances in technology, an intensified patient-safety culture, and a need for value-driven health systems. This review discusses the current methods available for evaluating technical skills in cataract surgery and the recent technological advancements that have enabled capture and analysis of large amounts of complex surgical data for more automated objective skills assessment.
手术是患者护理中出现错误的主要来源。据估计,在手术室预防手术错误导致的并发症,每年可减少多达 41846 次再入院,并节省 6.203 亿美元。现在已经确定,较差的技术技能与术后严重不良事件的风险增加有关,而传统的培训外科医生的模式正受到技术的快速发展、强化的患者安全文化以及需要有价值驱动的医疗系统的挑战。这篇综述讨论了目前可用于评估白内障手术技术技能的方法,以及最近使大量复杂手术数据的捕捉和分析成为可能的技术进步,从而实现更自动化的客观技能评估。