AI-Powered Forecasting for Efficient Patient Arrivals
Client:
Healthcare Provider
Industry:
Healthcare
Context & Objectives
A major healthcare provider aiming to reduce wait times and optimize staff scheduling:
- Inefficiencies and operational strain caused by unpredictable patient arrivals.
- Long Wait Times: Staff struggled to manage fluctuating patient volumes.
- Resource Mismatch: Over- or under-staffing led to inefficiencies.
- Operational Bottlenecks: Peaks in arrivals overwhelmed check-in processes.
- Limited Forecasting: Manual scheduling lacked accuracy and adaptability.
Patient Experience Issues: Inconsistent wait times reduced satisfaction.
Approach & Solution
Forte Group built an AI-driven Patient Arrivals Forecaster to enhance planning:- Predictive Analytics: AI models forecast patient volumes with high accuracy.
- Automated Scheduling: Adjusts staffing levels dynamically based on predictions.
- Real-Time Data Integration: Uses historical and live data for ongoing optimization.
- Queue Optimization: Balances patient flow to reduce check-in congestion.
- Scalable & Adaptive: Continuously improves with machine learning insights.
Results & Added Value
- 20% shorter patient wait times.
- 15%+ improvement in staff efficiency.
- Better resource use, reducing operational costs.
- Higher patient satisfaction from streamlined arrivals
