A scenario-driven simulation approach to sustainable hospital resource management: aging society, pandemic preparedness and referral enhancement.

Publication date: Jul 27, 2025

Sustainable hospital operations require efficient resource management to maintain high-quality patient care while adapting to future challenges. The proposed framework was intentionally designed with Sustainable Development Goals (SDGs) in mind, ensuring that scenario selection and evaluation directly support sustainability, equity, and resilience in healthcare planning. This study develops a scenario-driven, simulation-based optimization framework to enhance hospital resource planning, ensuring resilience and sustainability. By addressing critical healthcare scenarios-aging society, pandemic conditions, and referral acceptance enhancement-the framework aligns hospital operations with SDGs related to equitable healthcare access and sustainable communities. The proposed framework integrates discrete event simulation (DES) and multi-objective optimization to analyze and optimize resource allocation in response to evolving healthcare demands. Real-world hospital data, scenario-specific patient flow models, and satisfaction metrics-such as length of stay (LOS) and physician assignment-were used to evaluate system performance. The framework was applied to a case study in a public hospital, generating insights into the necessary resource adjustments for each scenario. Simulation-optimization analysis revealed key resource allocation strategies tailored to different scenarios. In the aging society scenario, the model identified the optimal number of physicians and equipment required to accommodate growing elderly patient volumes while maintaining service quality. The pandemic scenario emphasized the need for adaptive resource allocation, including flexible staffing and additional triage processes to ensure patient safety and operational efficiency. The referral acceptance enhancement scenario demonstrated how strategic resource investment can increase referral case acceptance, reducing healthcare disparities and improving access to specialized care. This study presents a comprehensive, adaptable framework that enables hospitals to proactively prepare for future uncertainties while optimizing patient satisfaction and operational costs. The findings highlight the importance of scenario-driven resource planning in enhancing resilience, efficiency, and equity in healthcare delivery. By aligning with SDG 3 (Good Health and Well-Being), SDG 10 (Reducing Inequalities), and SDG 11 (Sustainable Cities and Communities), the framework supports sustainable hospital management and provides decision-makers with actionable strategies to improve healthcare systems.

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Concepts Keywords
Cities Aged
Elderly Computer Simulation
Healthcare COVID-19
Intentionally Discrete Event Simulation
Sustainability Hospital Administration
Humans
Multi-Objective Optimization
Pandemic Preparedness
Pandemics
Patient Satisfaction
Referral and Consultation
Resource Allocation
Resource Management
Sustainable Development
Sustainable Healthcare

Semantics

Type Source Name
disease IDO quality
drug DRUGBANK Diethylstilbestrol
pathway REACTOME Reproduction
drug DRUGBANK Nonoxynol-9
drug DRUGBANK Serine
drug DRUGBANK Etoperidone
drug DRUGBANK Isoxaflutole
disease MESH uncertainty
drug DRUGBANK Coenzyme M
drug DRUGBANK Indoleacetic acid
disease IDO process
drug DRUGBANK Trestolone
disease MESH emergency
disease MESH COVID 19
disease IDO facility
disease MESH tic
drug DRUGBANK Dimercaprol
disease IDO role
drug DRUGBANK Esomeprazole
disease MESH infection
drug DRUGBANK L-Valine
disease IDO symptom
disease MESH stye
disease MESH glaucoma
disease MESH uveitis
drug DRUGBANK Aspartame
disease IDO production
drug DRUGBANK Methylergometrine
disease IDO algorithm
disease MESH cataracts
disease MESH macular degeneration
disease MESH diabetic retinopathy
drug DRUGBANK Hexadecanal
drug DRUGBANK L-Citrulline
drug DRUGBANK Zolmitriptan
disease MESH psychological distress
disease MESH Sarcopenia
disease MESH shock
drug DRUGBANK (S)-Des-Me-Ampa
drug DRUGBANK Guanosine
disease IDO country
disease MESH Eye disease
disease MESH cancer
disease MESH asthma
pathway KEGG Asthma
disease MESH Eye Infections
drug DRUGBANK Tromethamine

Original Article

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