Summary
Sonata helped a healthcare provider modernize its operational performance with a Microsoft Fabric-based data and analytics platform integrated with Copilot Agents and Power BI. The solution unified visibility across key departments, improved scheduling accuracy, enabled predictive planning, and supported better utilization of clinical resources. The engagement delivered measurable outcomes, including a 70% reduction in scheduling errors and an estimated £500K in savings through reduced agency costs and improved resource allocation.
Customer overview
One of UK’s largest independent private hospitals, known for advanced clinical care, specialist expertise, and patient-centric outcomes.
Pressure points
The client relied on manual processes across critical operational areas, including bed management, theatre scheduling, and outpatient bookings. This created delays in patient admissions and discharges, limited visibility across departments, and contributed to underutilization of key healthcare resources such as diagnostic equipment and cancer care chairs.
Limited real-time visibility into operational performance across departments
Underutilized clinical infrastructure and diagnostic resources
Inefficient scheduling processes affecting resource planning
Patient flow delays impacting admissions, discharges, and bed turnover
Consultant retention risks due to competition and limited digital infrastructure
Solutions highlights
Sonata implemented a Microsoft Fabric-based data and analytics platform integrated with Copilot Agents and Power BI. The platform enabled unified dashboards, predictive models, AI-driven resource management, automated scheduling, and analytics-led insights across patient services, diagnostics, cancer care, and surgical and medical care.
Built unified dashboards across patient services, diagnostics, cancer care, and surgical & medical care
Enabled predictive models for admissions, discharges, and staffing
Implemented AI-driven room and bed management with real-time updates
Automated theatre slot allocation and utilization tracking
Delivered analytics for cancer care chair utilization
Supported radiology workflow optimization
Enabled consultant activity tracking and revenue leakage analysis
Results that speak volumes
Improved bed turnover through faster patient discharge processes
Enhanced patient experience with same-day appointments and faster diagnostics
Increased visibility into departmental performance and resource utilization
Improved planning for admissions, discharges, staffing, and scheduling
Strengthened operational decision-making through AI-led insights and analytics
By the numbers
8–10% improvement in theatre utilization
50% of patients discharged by 11:00 AM
70% reduction in scheduling errors through Copilot automation
15% increase in consultant room utilization
12% improvement in radiotherapy equipment utilization
£500K estimated savings from reduced agency costs and better resource allocation
