NHS Patient Flow Optimisation
Analysed patient flow data across an NHS Trust to identify bottlenecks, reduce average wait times by 22%, and improve bed utilisation rates.
The Business Problem
An NHS Trust experienced chronic bed shortages and long A&E wait times, with patients frequently breaching the 4-hour target.
Why It Matters
Patient safety and care quality were at risk. The Trust faced regulatory scrutiny and potential financial penalties for missed performance targets.
Data & Tools Used
Analysis Process
Analysed 18 months of patient flow data covering 45,000+ episodes. Applied process mining techniques to identify bottlenecks. Modelled scenarios for staffing and discharge process changes.
Findings & Recommendations
Discharge delays between 10am-2pm caused a cascade effect on bed availability. Three specific wards had systematic delays in consultant reviews. Weekend discharge rates were 60% lower than weekday rates.
Deliverables
- Patient Flow Analysis Report
- Process Maps
- Recommendations Deck
- Implementation Roadmap
- Monitoring Dashboard
Business Value
22% reduction in average wait times. 15% improvement in bed utilisation. Projected annual savings of £1.2M through reduced agency staff requirements.
Skills Demonstrated
Complex healthcare analytics project demonstrating ability to work with sensitive data in a regulated environment. Strong analytical methodology and measurable outcomes.
Healthcare organisations facing operational pressures can benefit from data-driven analysis to identify quick wins and structural improvements.
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