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麻醉领域中系统管理、决策支持系统、人工智能及计算技术的最新进展。

Recent advances in system management, decision support systems, artificial intelligence and computing in anaesthesia.

作者信息

Gupta Bhavna, Sahay Nishant, Vinod Krishnagopal, Sandhu Kirandeep, Basireddy Hariprasad Reddy, Mudiganti Rama Krishna Reddy

机构信息

Department of Anaesthesiology, All India Institute of Medical Sciences, Rishikesh, Uttarakhand, India.

Department of Anaesthesiology, All India Institute of Medical Sciences, Patna, Bihar, India.

出版信息

Indian J Anaesth. 2023 Jan;67(1):146-151. doi: 10.4103/ija.ija_974_22. Epub 2023 Jan 21.

Abstract

Advances in artificial intelligence, telemedicine, block-chain technology and electronic medical records are paving the way for a new era in anaesthetic care through automation, non-invasive monitoring, system management and decision support systems. Their utility has been demonstrated in a variety of contexts in the peri-operative setting, including but not limited to, monitoring anaesthesia depth, maintaining drug infusion, predicting hypotension, critical incident evaluation, risk management strategies, antibiotic administration, haemodynamic monitoring, precise ultrasound-guided nerve blocks and a future where possibilities are entirely dependent on how we decide to embrace this progression. The main objective of this article is to provide up-to-date and valuable knowledge about the recent advances in anaesthesia technology during the past few years.

摘要

人工智能、远程医疗、区块链技术和电子病历的进步,正通过自动化、非侵入性监测、系统管理和决策支持系统,为麻醉护理的新时代铺平道路。它们的效用已在围手术期的各种情况下得到证明,包括但不限于监测麻醉深度、维持药物输注、预测低血压、危急事件评估、风险管理策略、抗生素给药、血流动力学监测、精确的超声引导神经阻滞,以及一个可能性完全取决于我们如何决定接受这一进展的未来。本文的主要目的是提供有关过去几年麻醉技术最新进展的最新且有价值的知识。

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