Case study

Assessing the realised and unrealised needs and capabilities of a new data platform for hospital data.

Supporting a patient base of 5.4 million patients across the region each year, and employing nearly 18,000 staff, Leeds Teaching Hospitals Trust (LTHT) is one of the largest and busiest acute NHS hospital trusts in the UK. With an ambition to be the best when it comes to patient safety, quality and experience, LTHT generates a vast amount of data from each patient’s interaction.

With a myriad of specialist clinical systems and an aging Data Warehouse, it was evident that LTHT was not leveraging the full potential of data assets with many opportunities to exploit data sources to provide further insight and intelligence across LTHT and beyond. As part of the digital strategy, LTHT recognise investment in a new data platform with improved reporting and analytics capabilities will enhance patient safety, patient outcomes, patient experience and support evidence-based quality improvement.

Through the tendering process, Netcompany was awarded the work for the “Discovery Phase” of the data platform. This entailed uncovering and understanding the needs and abilities of the current situation and the requirements for a future solution.

Once onboarded, the team began their discovery exercise and quantified a gap between the As-Is and the To-Be state, providing solutions on how LTHT could bridge the gap moving forward. This discovery was structured on Netcompany’s data management principles of: Information Users, Data Sources, Technology & Architecture and Organisation & Execution.

This discovery exercise has been a crucial step in moving LTHT closer to realising its data strategy by providing an impartial overview of the organisation’s requirements. The next step in the journey is to use the insights gained from the discovery phase to tender for the design, build, test and implementation of a new Data Platform. Improving access to data, speed of reporting, automation, advanced reporting and analytics are just some of the benefits for staff and patients.

Results

• Discovery of gap between current As-Is and To-Be state 
• Provision of a solution plan to bridge the gap with detailed costings for implementation and infrastructure