基于平行医疗系统的医院运营优化

doi:10.11959/j.issn.2096-6652.202406

智能科学与技术学报 ›› 2024, Vol. 6 ›› Issue (1): 52-63.doi: 10.11959/j.issn.2096-6652.202406

基于平行医疗系统的医院运营优化

谢欣照¹, 俞怡², 吴子怡¹, 王可欣¹, 吕昕怡¹, 王静³, 王雨桐³, 林懿伦², 王飞跃³(), 陈彦¹^,⁴^,⁵^,⁶()

^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

收稿日期:2024-01-08 修回日期:2024-03-02 出版日期:2024-03-15 发布日期:2024-03-15
通讯作者: 王飞跃,陈彦 E-mail:feiyue.wang@ia.ac.cn;chenyandoc@163.com
作者简介:谢欣照（2000- ），女，南京医科大学医政学院硕士生，主要研究方向为医院管理、应急管理。
俞怡（1995- ），女，博士，上海人工智能实验室青年研究员，主要研究方向为数据要素化、激励机制设计、智能交通系统。
吴子怡（1999- ），女，南京医科大学医政学院硕士生，主要研究方向为医院管理、应急管理。
王可欣（1999- ），女，南京医科大学医政学院硕士生，主要研究方向为医院管理、应急管理。
吕昕怡（2000- ），女，南京医科大学医政学院硕士生，主要研究方向为医院管理、应急管理。
王静（1992- ），男，中国科学院自动化研究所工程师，主要研究方向为平行医疗理论与方法、智慧医疗系统的构建与应用。
王雨桐（1994- ），女，博士，中国科学院自动化研究所复杂系统管理与控制国家重点实验室助理研究员，主要研究方向为计算机视觉、图像异常检测。
林懿伦（1989- ），男，博士，上海人工智能实验室青年科学家、PI，主要研究方向为社会计算、城市计算、智能交通系统、深度学习、强化学习、隐私计算。
王飞跃，（1961- ），男，博士，中国科学院自动化研究所复杂系统管理与控制国家重点实验室主任，主要研究方向为平行系统的方法与应用、社会计算、平行智能、知识自动化。
陈彦（1974- ），男，医学博士，南京医科大学急诊医学博士生导师、公共管理硕士生导师、南京医科大学附属苏州医院党委副书记、院长，主要研究方向医院管理、突发事件卫生应急管理、心血管疾病、急诊医学等。
基金资助:
江苏省医院协会医院管理创新研究重点课题(JSYGY-3-2023-384);江苏省研究生科研创新计划(KYCX23_1902);健康江苏研究院2022年度决策咨询培育课题(JX102C20160020);2021年研究生优质教育资源建设项目：公共危机与应急管理(2021B016);科技创新2030—“新一代人工智能”重大项目(2022ZD0160104)

Optimization of hospital operation based on parallel healthcare systems

Xinzhao XIE¹, Yi YU², Ziyi WU¹, Kexin WANG¹, Xinyi LYU¹, Jing WANG³, Yutong WANG³, Yilun LIN², Fei-Yue WANG³(), Yan CHEN¹^,⁴^,⁵^,⁶()

^1.School of Health Policy & Management, Nanjing Medical University, Nanjing 211166, China
^2.Shanghai Artificial Intelligence Laboratory, Shanghai 200232, China
^3.Institute of Automation, Chinese Academy of Sciences, Beijing 100190, China
^4.The Affiliated Suzhou Hospital of Nanjing Medical University, Suzhou Municipal Hospital, Suzhou 215000, China
^5.Jiangsu Provincial Institute of Health, Nanjing 211166, China
^6.Gusu School Nanjing Medical University, Suzhou 211166, China

Received:2024-01-08 Revised:2024-03-02 Online:2024-03-15 Published:2024-03-15
Contact: Fei-Yue WANG, Yan CHEN E-mail:feiyue.wang@ia.ac.cn;chenyandoc@163.com
Supported by:
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)

摘要/Abstract

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。

关键词: 平行系统, 平行医疗, 医院运营

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.

Key words: parallel system, parallel healthcare, hospital operation

中图分类号:

R197

谢欣照, 俞怡, 吴子怡, 等. 基于平行医疗系统的医院运营优化[J]. 智能科学与技术学报, 2024, 6(1): 52-63.

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

图/表 10

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对比项	患者平均等待时间/分钟	医院收入/元	医生工作时间占比/%	检查室工作时间占比/%
对照组	179.67	18 324	62.16	87.25
A组	111.73	19 896	78.30	89.95
B组	125.46	20 082	65.48	96.38
C组	94.41	20 856	81.58	98.21

对比项	社会效益改善值/%	经济效益改善值/%	运行效率改善值/%
A组	37.81	8.58	14.53
B组	30.17	9.59	7.90
C组	47.45	13.82	21.90

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基于平行医疗系统的医院运营优化

Optimization of hospital operation based on parallel healthcare systems

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