A High-Fidelity, Machine-Learning Enhanced Queueing Network Simulation Model For Hospital Ultrasound Operations

Author:

Pan Yihan1,Xu Zhenghang1,Guang Jin1,Chen Xinyun1,Dai J.G.1,Wang Chengwenjian2,Zhang Xuanming2,Sun Jingjing3,Shi Pengyi4,Ding Yichuan5,Wu Song6,Yang Kai6,Pan Hongxin7

Affiliation:

1. School of Data Science The Chinese University of Hong Kong, Shenzhen,Shenzhen,PRC,518172

2. School of Mathematical Sciences, Fudan University,Shanghai,PRC,200433

3. School of Information Management and Engineering, Shanghai University of Finance and Economics,Shanghai,PRC,200433

4. Krannert School of Management, Purdue University,West Lafayette,IN,USA,47907

5. McGill University,Desautels Faculty of Management,Montreal,CAN

6. Institute of Urology, Luohu Hospital Group,Shenzhen,PRC,518000

7. Luohu Hospital Group,Department of Gynaecology,Shenzhen,PRC,518000

Publisher

IEEE

Reference15 articles.

1. ONLINE APPENDIX to A High-fidelity, Machine-learning Enhanced Queueing Network Simulation Model for Hospital Ultrasound Operations;pan;Technical Report,2021

2. Implementing servant leadership at cleveland clinic: A case study in organizational change;patrnchak;Leadership Theory and Practice,2016

3. Evaluating an Emergency Department Care Redesign: A Simulation Approach

4. Quality: The Mayo Clinic Approach

5. Improving patient flow at hospital emergency services-A simulation study;wang;ICSSSM12,2011

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