Research and Discussion on Diagnosis and Treatment Service Mode of Intelligent Hospital
- DOI
- 10.2991/978-94-6463-200-2_7How to use a DOI?
- Keywords
- Intelligent medical treatment; Intelligent clinic; Intelligent ward; Information technology
- Abstract
In the process of building intelligent hospital, diversified information technologies such as mobile Internet, big data, cloud computing and artificial intelligence are integrated and applied to the intelligent clinic, intelligent ward and intelligent management to optimize the diagnosis and treatment service mode. It can realize the intelligence of the whole process of patient diagnosis and treatment service. The experience of patients seeking medical treatment has been greatly improved, and the work efficiency of medical staff has been continuously improved with the substantial increase in the number of patients. The construction and optimization of the diagnosis and treatment service model of the intelligent hospital has improved the patient satisfaction, reduced the burden of the medical staff, improved the management level of the hospital, and realized the win-win situation of all parties.
- Copyright
- © 2023 The Author(s)
- Open Access
- Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.
Cite this article
TY - CONF AU - Yang Xiao AU - Wenjun Tian AU - Junhua Zhong AU - Zifan Guo AU - Xuge Qi AU - Bei Li PY - 2023 DA - 2023/07/26 TI - Research and Discussion on Diagnosis and Treatment Service Mode of Intelligent Hospital BT - Proceedings of the 2023 3rd International Conference on Public Management and Intelligent Society (PMIS 2023) PB - Atlantis Press SP - 46 EP - 54 SN - 2589-4919 UR - https://doi.org/10.2991/978-94-6463-200-2_7 DO - 10.2991/978-94-6463-200-2_7 ID - Xiao2023 ER -