- 20% reduction in patient wait times1
- 5%+ improvement in staff efficiency
- Lower operational costs through optimized resource use
Business Context
The provider’s manual scheduling and limited forecasting created bottlenecks that frustrated patients and strained staff:
- Long wait times caused by fluctuating patient arrivals.
- Over- or under-staffing led to costly inefficiencies.
- Operational bottlenecks when arrival peaks overwhelmed check-in.
- Manual scheduling lacked adaptability to changing volumes.
- Inconsistent wait times lowered patient satisfaction.
Solution
Forte Group developed an AI-driven Patient Arrivals Forecaster designed to improve planning and streamline operations:
- Predictive analytics to accurately forecast patient volumes.
- Automated scheduling that dynamically adjusts staffing levels.
- Real-time data integration using historical and live inputs.
- Queue optimization to smooth patient flow and reduce congestion.
- Scalable, adaptive models that continuously improve with machine learning.
Results & Value Delivered
The provider quickly realized measurable improvements across operations:
- 20% shorter patient wait times, improving patient experience.
- 15%+ improvement in staff efficiency, enabling better coverage with fewer gaps.
- Reduced operational costs, with resources aligned to actual demand.
- Higher patient satisfaction from faster, smoother arrivals.
- Improved staff morale, as workload was balanced more effectively.
- Scalability for growth, ensuring sustainable operations as patient volumes rise.
20% faster patient flow and 15% greater staff efficiency reduced costs and raised satisfaction across both patients and providers.
