From the Departments of General Anesthesiology.
Outcomes Research.
Anesth Analg. 2023 Apr 1;136(4):637-645. doi: 10.1213/ANE.0000000000005952. Epub 2023 Mar 16.
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.
麻醉师的角色已经超越了手术室，由麻醉师领导的护理团队可以提供协调的护理，涵盖手术患者的整个手术体验，从术前优化到长期康复。这种扩展的角色可以帮助降低术后发病率和死亡率，这是令人遗憾的常见情况，与罕见的术中死亡率不同。如果将术后死亡率视为一种疾病类别，它将仅次于心脏病和癌症，成为第三大致死原因。人工智能等技术的快速发展为建立安全的围手术期实践提供了机会。人工智能通过分析来自不同系统的复杂数据并生成可操作的信息来提供帮助。我们可以使用人工智能技术来仔细检查围手术期医学的各个方面，并设计创新的基于价值的解决方案，这些方案有可能提高患者安全性和护理质量，同时优化护理成本。在这篇叙述性评论中，我们讨论了人工智能的具体应用，这些应用可能有助于推进围手术期医学的各个方面，包括临床护理、教育、质量改进和研究。我们还讨论了技术的潜在局限性，并提供了成功采用的建议。
