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Process Optimization Method for Day Ward Based on Bayesian Decision-Tree

Ting Chen1, Kai Pu2, Lanzhen Bian3, Min Rao4, Jing Hu5, Rugang Lu1,*, Jinyue Xia6

1 Department of Day Surgery, Children’s Hospital of Nanjing Medical University, Nanjing, 210008, China
2 Department of Nursing, Children’s Hospital of Nanjing Medical University, Nanjing, 210008, China
3 Department of surgery, Children’s Hospital of Nanjing Medical University, Nanjing, 210008, China
4 Department of rehabilitation, Sichuan Provincial People’s Hospital, Chengdu, 610000, China
5 Department of rehabilitation, Children’s Hospital of Nanjing Medical University, Nanjing, 210008, China
6 International Business Machines Corporation (IBM), NY, 10504, USA

* Corresponding Author: Rugang Lu. Email: email

Intelligent Automation & Soft Computing 2022, 32(1), 513-523. https://doi.org/10.32604/iasc.2022.022510

Abstract

The day surgery management mode is mainly decentralized management, with clinical departments as the unit, and with reference to the experience of inter project operation management in benchmark hospitals, the empirical management is implemented. With the development of day surgery, the extensive decentralized management mode has been unable to meet the needs of the current day surgery development situation. At first, the paper carefully analyzes the existing problems in the day surgery process in the day ward of the Children’s Hospital of Nanjing Medical University. And then, the concerns of doctors, nurses, anesthesiologists and other hospital staff in day ward, children and their parents are considered. Based on Bayesian decision-making theory, this paper optimizes the pre-admission evaluation of sick children and hospitalization process for day surgery in Nanjing Children’s Hospital. Moreover, the specific optimization process is designed. After the optimizations, it can be seen that the time consumption of each step of the hospitalization process in day surgery is reduced. Thus, the hospital stay of sick children are significantly reduced, and the operation cost is reduced. In addition, the first preoperative preparation time and the average time of receiving children were reduced in day ward. The satisfaction of children’s parents was significantly improved.

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APA Style
Chen, T., Pu, K., Bian, L., Rao, M., Hu, J. et al. (2022). Process optimization method for day ward based on bayesian decision-tree. Intelligent Automation & Soft Computing, 32(1), 513-523. https://doi.org/10.32604/iasc.2022.022510
Vancouver Style
Chen T, Pu K, Bian L, Rao M, Hu J, Lu R, et al. Process optimization method for day ward based on bayesian decision-tree. Intell Automat Soft Comput . 2022;32(1):513-523 https://doi.org/10.32604/iasc.2022.022510
IEEE Style
T. Chen et al., “Process Optimization Method for Day Ward Based on Bayesian Decision-Tree,” Intell. Automat. Soft Comput. , vol. 32, no. 1, pp. 513-523, 2022. https://doi.org/10.32604/iasc.2022.022510



cc Copyright © 2022 The Author(s). Published by Tech Science Press.
This work is licensed under a Creative Commons Attribution 4.0 International License , which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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