Using Data and Insights to Deliver Efficiencies in Primary and Urgent Care
Summary
East Berkshire Primary Care developed a clear and effective Business Intelligence approach to strengthen how data and insight are used across urgent and out of hours services. The initiative transformed routine operational data into timely, reliable insight that actively supports decision making, service planning and workforce deployment.
By embedding consistent dashboards and summaries into everyday management practice, the approach enables earlier identification of risk, improved use of capacity and better understanding of patient pathways.
The Challenge
The organisation held large volumes of operational data but faced significant challenges in converting this into timely, actionable insight to support decision-making. Information was often retrospective, fragmented across services, and difficult to interpret quickly, particularly in high-pressure urgent care environments. This limited the ability to respond proactively and increased the risk of reactive operational management.
As a result, emerging demand pressures, pathway variation, capacity constraints, and quality concerns were not always visible in a consistent or timely way. There was also limited shared understanding between clinical, operational, and executive teams, with no single view of how activity, workforce, and quality metrics interacted.
The core challenge was to move beyond isolated performance reporting towards a more integrated, holistic view of system performance. This required bringing together operational data, workforce metrics, and quality outcomes to create clearer insight for decision-making. The aim was to strengthen oversight, improve planning confidence, and ensure data was used more effectively to support safer care, better patient outcomes, and improved staff experience across services.
The Solution
A practical and focused Business Intelligence approach was adopted, prioritising usability, clarity, and impact over technical complexity. Using existing data sources, the team developed consistent weekly and monthly reporting outputs covering demand, capacity, utilisation, quality outcomes, workforce indicators, and key performance measures across many services including Clinical Assessment Services, Urgent Care Centres, Out of Hours, and Same Day services to name a few.
Dashboards were designed to present clear trends by hour, day, and service, alongside pathway outcomes, access standards, workforce metrics, and utilisation data. This enabled leaders to take a more integrated view of performance, linking activity levels with quality, safety, and access risks to support earlier identification of emerging issues.
A strong emphasis was placed on engagement and communication throughout development and rollout. Outputs were introduced through regular discussions with operational leaders and clinical teams to ensure the data was meaningful, understood, and trusted, which was key to securing clinician buy-in and embedding use into routine practice.
The solution was underpinned by a secure and scalable data infrastructure hosted on Microsoft Azure and managed by Arc Systems. Rather than introducing new systems, the focus was on consistent use of existing data, clear interpretation, and disciplined review to drive continuous operational improvement.
Results & Next Steps
The Business Intelligence approach has significantly strengthened the organisation’s ability to manage urgent care services in a proactive and informed way. Leaders now have improved visibility of demand patterns, emerging pressure points, and performance variation, enabling earlier intervention and more confident, evidence-based decision-making.
Workforce planning and rota deployment are better aligned to real-time demand, supported by clearer insights into utilisation, capacity gaps, and productivity trends. Services now benefit from more integrated oversight of access, patient flow, and pathway outcomes, with quality indicators considered alongside operational performance rather than in isolation.
The approach has also improved confidence and engagement within the clinical workforce. Consistent communication and transparent use of data have helped clinicians understand how information supports service improvement, rather than being used purely for performance monitoring. This has fostered a more positive and collaborative culture around data-driven decision-making.
The approach has helped embed a more confident and integrated culture of operational decision-making across urgent care services. By introducing trusted insight into everyday practice, EBPC has strengthened planning, improved workforce deployment, and supported safer, more responsive care delivery across services. The model has also influenced practice across multiple services and is now being shared with peer organisations to support wider adoption of consistent, data-informed operational decision-making.
