Optimization of hospital operation based on parallel healthcare systems

XIE Xinzhao; YU Yi; WU Ziyi; WANG Kexin; LYU Xinyi; WANG Jing; WANG Yutong; LIN Yilun; WANG Fei-Yue; CHEN Yan

doi:10.11959/j.issn.2096-6652.202406

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Optimization of hospital operation based on parallel healthcare systems

Papers and Reports | 更新时间：2024-06-05

- Optimization of hospital operation based on parallel healthcare systems
- Chinese Journal of Intelligent Science and Technology Vol. 6, Issue 1, Pages: 52-63(2024)
- 作者机构：
  
  1.南京医科大学医政学院，江苏南京 211166
  2.上海人工智能实验室，上海 200232
  3.中国科学院自动化研究所，北京 100190
  4.苏州市立医院，南京医科大学附属苏州医院，江苏苏州 215000
  5.江苏省健康研究院，江苏南京 211166
  6.南京医科大学姑苏学院，江苏苏州 211166
- 作者简介：
- 基金信息：
  
  Jiangsu Province Hospital Association Hospital Management Innovation Research Key Issues(JSYGY-3-2023-384);Jiangsu Province Graduate Student Research and Innovation Program(KYCX23_1902);Jiangsu Provincial Institute of Health 2022 Decision-making Consultation Cultivation Topics(JX102C20160020);2021 Graduate Quality Education Resource Building Program: Public Crisis and Emergency Management(2021B016);The National Key Research and Development Program of China(2022ZD0160104)
- DOI：10.11959/j.issn.2096-6652.202406
  CLC： R197
- Received：08 January 2024，
  
  Revised：2024-03-02，
  
  Published：15 March 2024
- 稿件说明：
移动端阅览
XIE Xinzhao, YU Yi, WU Ziyi, et al. Optimization of hospital operation based on parallel healthcare systems[J]. Chinese Journal of Intelligent Science and Technology, 2024, 6(1): 52-63.
DOI：

XIE Xinzhao, YU Yi, WU Ziyi, et al. Optimization of hospital operation based on parallel healthcare systems[J]. Chinese Journal of Intelligent Science and Technology, 2024, 6(1): 52-63. DOI： 10.11959/j.issn.2096-6652.202406.

摘要

在数字化浪潮中，为了应对医疗资源配置不平衡问题，满足医院管理优化的需求，亟须引入数字化和平行智能技术。平行医疗系统能够利用人工智能方法，充分发挥数据价值，通过虚实互动来优化解决方案。该系统由分布式可信数据库、医疗操作系统、医疗场景工程和医疗大模型组成，通过数据的收集和流通，强化数据赋能，从而促进医院运营的跨维度优化。为了更好地展现数据在医院运营中的价值，基于平行医疗系统提出了量化数据价值的方法，并借助数值实验进行展示。实验结果表明，平行医疗系统可以提升医院社会效益47.45%、经济效益13.82%和运行效率21.90%，为决策者提供全局视野。

Abstract

In the wave of digitization

the introduction of digital and parallel intelligence technologies was crucial to responding to the imbalance in the allocation of medical resources and the need for optimization of hospital management. Parallel healthcare systems can fully leverage the value of data with the help of artificial intelligence methods and optimize the solution through the interaction between reality and virtuality. The system comprised the distributed and trustworthy database

medicine-oriented operating system

medicine-oriented scenario system

and medicine-oriented large models

which enhanced data empowerment through data collection and circulation

thus facilitating trans-dimensional optimization of hospital operations. To better demonstrate the value of data in hospital operations

a method to quantify the value of data was proposed based on parallel healthcare systems and demonstrated with the help of a numerical experiment. The experimental results showed that parallel healthcare systems can effectively improve the hospital's social benefit by 47.45%

economic benefit by 13.82%

and operational efficiency by 21.90%

providing a global vision for decision-makers.

关键词

Keywords

references

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