ArticleHealth research policy and systems2025
Implementing system dynamics in hospital services to improve operational efficiency: An empirical research study.
Article in Health research policy and systems, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers, 1 of them a synthesis that pooled it.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
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Who cites it
3 citing papers in PubMed, 1 synthesis or guideline pooled it.
- From Evidence to Strategic Insight: Preliminary Model Development and Validation for Exploring Potential Changes and Enhancing Nursing Work Performance.Journal of nursing management · 2026Pooled it
- Life-cycle sustainability assessment of public general hospital buildings in China.Scientific reports · 2026Article
- Perspectives from healthcare providers and decision-makers on strategies toward a future hospital: qualitative insights from a group modelling process.BMC health services research · 2026Article
Corrections and comments
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Authors and funding
6 authors.
Funding
Abstract
objectiveThis study investigates operational efficiency in public general hospitals using a system dynamics (SD) model, focusing on resource allocation, patient flow and policy interventions. It explores the interactions between human resources, financial subsidies and patient visitation rates and their impact on hospital performance.
methodsAn SD model was developed to simulate various scenarios, incorporating data on hospital capacity, staffing and financial inputs, along with patient flow dynamics. Key performance metrics, including bed occupancy rate (BOR), average length of stay (ALOS), average cost per visit and workload index, were analysed under different policy scenarios.
resultsSimulation of four policy scenarios revealed that increased fiscal subsidies (scenario 2) consistently improved operational efficiency by reducing ALOS, staff workload and cost per visit. In contrast, scenarios involving human resource cuts or rapid patient growth triggered adverse feedback loops that undermined performance.
conclusionsThe SD model effectively captures the dynamic interactions within hospital operations and enables assessment of policy interventions over time. Enhanced government funding contributes most positively to efficiency, while demand surges and resource reductions introduce system strain and performance trade-offs.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.