Chinese Journal of Intelligent Science and Technology ›› 2023, Vol. 5 ›› Issue (2): 234-246.doi: 10.11959/j.issn.2096-6652.202324

• Special Topic: Frontier of R&D in Parallel Intelligence • Previous Articles     Next Articles

Parallel anesthesia: from anesthesia automation to intelligent full-cycle anesthesia platform

Yifei ZHAO1, Le SHEN1, Peijun YE2, Jing WANG2, Fei-Yue WANG2,3   

  1. 1 Department of Anesthesiology, Peking Union Medical College Hospital, Beijing 100730, China
    2 The State Key Laboratory for Management and Control of Complex Systems, Institute of Automation, Chinese Academy of Sciences, Beijing 100190, China
    3 School of Artificial Intelligence, University of Chinese Academy of Sciences, Beijing 100049, China
  • Revised:2023-05-30 Online:2023-06-15 Published:2023-06-10
  • Supported by:
    National High Level Hospital Clinical Research Funding(2022-PUMCH-B-007);The National Natural Science Foundation of China(61533019);Intel Collaborative Research Institute for Intelligent and Automated Connected Vehicles(ICRI-IACV)

Abstract:

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.

Key words: parallel anesthesia, intelligent healthcare, anesthesia robot, digital doctor, personalized anesthesia

CLC Number: 

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