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Abstract
We built a framework involving the design, evaluation, and optimisation of intensive care unit (ICU) networks in Hong Kong, particularly during pandemics and mass casualty events.
The model for the Hong Kong ICU network enables central management and sharing of ICU beds to improve quality of service metrics without incurring additional expenditure on new resources.
We analysed real data from hospitals in the New Territories Northeast cluster and identified appropriate arrival process and length of service distributions for different types of patients (internal emergency, external emergency, and elective).
We applied the International Ethics Standards for Sustainability Assurance framework to evaluate the rejection or deferral rate for each type of patients, with reasonable accuracy.
We proposed a heuristic algorithm based on particle swarm optimisation to determine the optimal set of relevant network parameters, and then combined it with the International Ethics Standards for Sustainability Assurance method for evaluating each setting. The combination can effectively reduce computation time by up to two orders of magnitude while obtaining the same optimal solution. © 2026 Hong Kong Academy of Medicine.
The model for the Hong Kong ICU network enables central management and sharing of ICU beds to improve quality of service metrics without incurring additional expenditure on new resources.
We analysed real data from hospitals in the New Territories Northeast cluster and identified appropriate arrival process and length of service distributions for different types of patients (internal emergency, external emergency, and elective).
We applied the International Ethics Standards for Sustainability Assurance framework to evaluate the rejection or deferral rate for each type of patients, with reasonable accuracy.
We proposed a heuristic algorithm based on particle swarm optimisation to determine the optimal set of relevant network parameters, and then combined it with the International Ethics Standards for Sustainability Assurance method for evaluating each setting. The combination can effectively reduce computation time by up to two orders of magnitude while obtaining the same optimal solution. © 2026 Hong Kong Academy of Medicine.
| Original language | English |
|---|---|
| Pages (from-to) | 25-27 |
| Number of pages | 3 |
| Journal | Hong Kong medical journal = Xianggang yi xue za zhi / Hong Kong Academy of Medicine |
| Volume | 31 |
| Issue number | 5 (Suppl. 7) |
| Publication status | Published - Oct 2025 |
Funding
This study was supported by the Health and Medical Research Fund, Health Bureau, Hong Kong SAR Government (#16171921). The full report is available from the Health and Medical Research Fund website (https://rfs1.healthbureau.gov.hk).
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Dive into the research topics of 'Design, modelling, evaluation, and optimisation of intensive care unit network in Hong Kong: abridged secondary publication'. Together they form a unique fingerprint.Projects
- 1 Finished
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HMRF: Design, Modelling, Evaluation, and Optimization of an Efficient and Cost-effective Intensive Care Network in Hong Kong
WONG, W. M. E. (Principal Investigator / Project Coordinator), CHAN, K. K. C. (Co-Investigator) & JOYNT, G. M. (Co-Investigator)
1/09/19 → 24/04/24
Project: Research
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