模式识别与人工智能
Friday, May. 2, 2025 Home      About Journal      Editorial Board      Instructions      Ethics Statement      Contact Us                   中文
Pattern Recognition and Artificial Intelligence  2023, Vol. 36 Issue (10): 867-876    DOI: 10.16451/j.cnki.issn1003-6059.202310001
Papers and Reports Current Issue| Next Issue| Archive| Adv Search |
Parallel Operating Rooms: A New Model of Perioperative Nursing Process and Smart Surgical Platform Management
WANG Huizhen1, ZHANG Jie1, YU Yi2, ZHAO Lin1, LI Kuinan1, MA Huiying1, QI Xiaojing1, WANG Jing3, WANG Yutong3, LIN Yilun2, XU Li1, SHEN Le1, LI Hanzhong1, WANG Fei-Yue3,4
1. Peking Union Medical College Hospital, Chinese Academy of Medicine, Beijing 100730;
2. Shanghai Artificial Intelligence Laboratory, Shanghai 200232;
3. The State Key Laboratory for Management and Control of Complex Systems, Institute of Automation, Chinese Academy of Sciences, Beijing 100190;
4. School of Artificial Intelligence, University of Chinese Academy of Sciences, Beijing 100049

Download: PDF (2095 KB)   HTML (1 KB) 
Export: BibTeX | EndNote (RIS)      
Abstract  

With the advancement of medical technology, the operating room is confronted with increasing complexity challenges, especially in the areas of teaching and training, nursing coordination, scientific research innovation and management. In this paper, the concept of a parallel operating room is proposed based on parallel healthcare theory to optimize perioperative nursing processes by artificial intelligence and comprehensive data analysis, thereby improving surgical platform management efficiency. Real systems and virtual systems are integrated in the parallel operating room through online learning, offline computing, and virtual-physical interaction to achieve precise management and control of surgical procedures. The application of parallel operating rooms in clinical nursing and management as well as nursing education and research is discussed in detail, and the potential of parallel operating rooms in future medical fields is prospected. The proposed integrated solution alleviates the problems faced by traditional operating rooms and lays a foundation for the development of smart healthcare, while enhancing safety and operational efficiency in the operating room.

Key wordsArtificial Intelligence      Parallel Theory      Parallel Operating Rooms      Perioperative Period Nursing     
Received: 08 October 2023     
ZTFLH: R6  
  TP391  
Fund:

National High Level Hospital Clinical Research Funding(No.2022-PUMCH-B-119), National Key R&D Program of China(No.2022ZD0160104), Joint Funds of Beijing Municipal Nature Science Foundation and Haidian Original Innovation(No.L222099)

Corresponding Authors: WANG Feiyue, Ph.D., professor. His research interests include methods and applications for parallel systems, social computing, parallel intelligence and knowledge automation.   
About author:: WANG Huizhen, master, associate chief nurse. Her research interests include ma-nagement of operating room nursing.ZHANG Jie, master student, associate chief nurse. Her research interests include operating room teaching and information ma-nagement.YU Yi, Ph.D., assistant professor. Her research interests include data trading, incentive mechanism design and intelligent transportation system.ZHAO Lin, bachelor, associate chief nurse. Her research interests include operating room teaching and information management.LI Kuinan, master, senior nurse. Her research interests include operating room nur-sing.MA Huiying, master, nurse. Her research interests include operating room nursing.QI Xiaojing, master, nurse. Her research interests include operating room nursing.WANG Jing, master, engineer. His research interests include parallel medicine, parallel auxiliary diagnosis and treatment system, machine learning and natural language processing.WANG Yutong, Ph.D., assistant profe-ssor. Her research interests include computer vision and image anomaly detection.LIN Yilun, Ph.D., associate professor. His research interests include social computing, urban computing, intelligent transportation systems, deep learning, reinforcement learning and privacy-preserving computing.XU Li, Ph.D., professor. Her research interests include basic and translational medical research on perioperative management, perioperative blood protection and fluid therapy and chronic pain of elderly patients.SHEN Le, Ph.D., professor. His research interests include perioperative anesthesia me-dical quality management and patient safety, mechanisms and biological interventions of pain and pruritus.LI Hanzhong, Ph.D., professor. His research interests include robotic laparoscopic urological surgery.
Service
E-mail this article
Add to my bookshelf
Add to citation manager
E-mail Alert
RSS
Articles by authors
WANG Huizhen
ZHANG Jie
YU Yi
ZHAO Lin
LI Kuinan
MA Huiying
QI Xiaojing
WANG Jing
WANG Yutong
LIN Yilun
XU Li
SHEN Le
LI Hanzhong
WANG Fei-Yue
Cite this article:   
WANG Huizhen,ZHANG Jie,YU Yi等. Parallel Operating Rooms: A New Model of Perioperative Nursing Process and Smart Surgical Platform Management[J]. Pattern Recognition and Artificial Intelligence, 2023, 36(10): 867-876.
URL:  
http://manu46.magtech.com.cn/Jweb_prai/EN/10.16451/j.cnki.issn1003-6059.202310001      OR     http://manu46.magtech.com.cn/Jweb_prai/EN/Y2023/V36/I10/867
Copyright © 2010 Editorial Office of Pattern Recognition and Artificial Intelligence
Address: No.350 Shushanhu Road, Hefei, Anhui Province, P.R. China Tel: 0551-65591176 Fax:0551-65591176 Email: bjb@iim.ac.cn
Supported by Beijing Magtech  Email:support@magtech.com.cn