Artificial Intelligence for Perioperative Medicine: Perioperative Intelligence

被引:14
作者
Maheshwari, Kamal [1 ,6 ]
Cywinski, Jacek B. [1 ,2 ]
Papay, Frank [3 ]
Khanna, Ashish K. [4 ,5 ]
Mathur, Piyush [1 ]
机构
[1] Cleveland Clin, Dept Gen Anesthesiol, Cleveland, OH USA
[2] Cleveland Clin, Dept Outcomes Res, Cleveland, OH USA
[3] Cleveland Clin, Dept Surg, Cleveland, OH USA
[4] Wake Forest Univ, Sch Med, Dept Anesthesiol, Sect Crit Care Med, Winston Salem, NC USA
[5] Outcomes Res Consortium, Cleveland, OH USA
[6] Cleveland Clin, Dept Gen Anesthesiol, 9500 Euclid Ave, Cleveland, OH 44195 USA
基金
美国国家卫生研究院;
关键词
BIG DATA; SURGERY; HEALTH; ANESTHESIOLOGISTS; HYPOTENSION; PREVENTION; EFFICIENCY; MORTALITY; FEEDBACK; IMPROVE;
D O I
10.1213/ANE.0000000000005952
中图分类号
R614 [麻醉学];
学科分类号
100217 ;
摘要
The anesthesiologist's role has expanded beyond the operating room, and anesthesiologist-led care teams can deliver coordinated care that spans the entire surgical experience, from preoperative optimization to long-term recovery of surgical patients. This expanded role can help reduce postoperative morbidity and mortality, which are regrettably common, unlike rare intraoperative mortality. Postoperative mortality, if considered a disease category, will be the third leading cause of death just after heart disease and cancer. Rapid advances in technologies like artificial intelligence provide an opportunity to build safe perioperative practices. Artificial intelligence helps by analyzing complex data across disparate systems and producing actionable information. Using artificial intelligence technologies, we can critically examine every aspect of perioperative medicine and devise innovative value-based solutions that can potentially improve patient safety and care delivery, while optimizing cost of care. In this narrative review, we discuss specific applications of artificial intelligence that may help advance all aspects of perioperative medicine, including clinical care, education, quality improvement, and research. We also discuss potential limitations of technology and provide our recommendations for successful adoption.
引用
收藏
页码:637 / 645
页数:9
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