1. 中国医学科学院北京协和医院麻醉科,北京 100730
2. 中国科学院自动化研究所复杂系统管理与控制国家重点实验室,北京 100190
3. 中国科学院大学人工智能学院,北京 100049
[ "赵毅飞(1993- ),男,博士,中国医学科学院北京协和医院麻醉科临床博士后,主要研究方向为围术期监测及治疗与预后关联建模" ]
[ "申乐(1979- ),男,医学博士与理学博士,中国医学科学院北京协和医院麻醉科常务副主任(主持工作),主要研究方向为围术期麻醉医疗质量管理与患者安全、疼痛与瘙痒的机制与生物干预" ]
[ "叶佩军(1985- ),博士,中国科学院自动化研究所副研究员,研究方向为认知计算、复杂系统管理与控制、智能交通" ]
[ "王静(1992- ),中国科学院自动化研究所工程师,主要研究方向为平行医疗理论与方法、智慧医疗系统的构建与应用" ]
[ "王飞跃(1961- ),男,中国科学院自动化研究所复杂系统管理与控制国家重点实验室主任,主要研究方向为平行系统的方法与应用、社会计算、平行智能以及知识自动化" ]
修回:2023-05-30,
网络首发:2023-06,
纸质出版:2023-06-15
移动端阅览
赵毅飞, 申乐, 叶佩军, 等. 平行麻醉:从麻醉自动化走向智慧型全周期麻醉平台[J]. 智能科学与技术学报, 2023,5(2):234-246.
Yifei ZHAO, Le SHEN, Peijun YE, et al. Parallel anesthesia: from anesthesia automation to intelligent full-cycle anesthesia platform[J]. Chinese Journal of Intelligent Science and Technology, 2023, 5(2): 234-246.
赵毅飞, 申乐, 叶佩军, 等. 平行麻醉:从麻醉自动化走向智慧型全周期麻醉平台[J]. 智能科学与技术学报, 2023,5(2):234-246. DOI: 10.11959/j.issn.2096-6652.202324.
Yifei ZHAO, Le SHEN, Peijun YE, et al. Parallel anesthesia: from anesthesia automation to intelligent full-cycle anesthesia platform[J]. Chinese Journal of Intelligent Science and Technology, 2023, 5(2): 234-246. DOI: 10.11959/j.issn.2096-6652.202324.
基于平行医疗理论提出了平行麻醉理论及方法,该理论旨在通过人工系统建模、计算实验分析及人机交互的平行执行等方式,构建由生物人(医护人员)、机器人(机械自动化设备)及数字人(数字医护)构成的有机统一的智慧型全周期麻醉平台。首先从当前麻醉学科发展的现状及面临的瓶颈入手,从临床麻醉、危机管理、科学研究、教育教学及运营管理等方面构想平行麻醉系统中由生物人、数字人、机器人共同构建的多个智能化场景模式,并分析生物人在每个场景中的作用及三者相辅相成的关系。重点介绍了平行麻醉通过计算实验及虚实结合的执行修正模式对患者医疗安全及医护工作效能的提升与改善。最后通过分析平行麻醉系统构建中的伦理问题,分析自动化与智能设备在麻醉中参与的边界及规定,以“尊重生命、公平透明、高效运转、节省劳力”为系统准则,建立一个减少医护机械化重复劳动、增强智能决策辅助能力、提升精细化治疗水平和管理水平的智慧型全周期麻醉平台。
Based on the parallel medical theory
this paper proposes the theory and method of parallel anesthesia
which aims to build an organic and unified intelligent full-cycle anesthesia platform composed of biological humans (medical personnel)
robots (mechanical automation equipment) and digital humans (digital medical care) through artificial system modeling
computational experimental analysis and parallel execution of human-computer interaction.Starting from the current status quo and bottleneck of the development of anesthesiology
this paper first conceives multiple intelligent scene modes jointly constructed by biological humans
digital humans and robots in parallel anesthesia systems from the aspects of clinical anesthesia management
crisis management
scientific research
education and teaching
and operation management
and analyzes the role of biological humans in each scene and the complementary relationship between the three.At the same time
the improvement and improvement of parallel anesthesia on patients’ medical safety and medical work efficiency through computational experiments and the implementation correction mode of virtual and real combination are introduced.Finally
by analyzing the ethical issues in the construction of parallel anesthesia system
analyzing the boundary and regulations of automation and intelligent equipment participation in anesthesia
and taking “respect for life
fairness and transparency
efficient operation and labor saving” as the system criteria
an intelligent full-cycle anesthesia platform is established to reduce the repetitive work of medical mechanization
enhance the ability of intelligent decisionmaking assistance
and improve the level of refined treatment and management.
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