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Using the resource utilisation system to analyse cross boundary flow of patients
Summary
Understanding treatment patterns for cross-boundary flow patients is crucial for hospital managers. New clinical/costing profiles using Resource Utilisation Statistics (RUS) now provide essential management insights.
Area of Science:
- Health Services Management
- Healthcare Analytics
- Patient Flow Management
Background:
- Hospital managers require detailed data on cross-boundary patient treatment patterns and associated costs.
- Historically, comprehensive information on services utilized by these patients has been lacking.
Purpose of the Study:
- To provide hospital managers with critical information on cross-boundary patient treatment patterns.
- To enable effective resource allocation and financial planning for patient services.
Main Methods:
- Utilizing Resource Utilisation Statistics (RUS) to construct specific patient clinical and costing profiles.
- Developing data-driven profiles to analyze service utilization and financial impact.
Main Results:
- Enables determination of services and resources utilized by cross-boundary patients.
- Facilitates identification of patient origin (Board of origin).
- Provides data for long-term service planning, budget development, and impact assessment on existing allocations.
Conclusions:
- The developed patient clinical/costing profiles offer vital data for hospital management.
- This information supports strategic decision-making regarding service planning, budgeting, and resource management for cross-boundary patients.
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