£127k PER ANNUM SAVINGS FOR NHS HOSPITAL


The context
One of the largest mental health trust in London wanted to better understand the flow of patients and performance within their sites. They also wanted to explore how they could make cost savings to make the more sustainable.
Our role
To work with the executive management team, service managers and clinical staff to find a solution to their trust-wide problem around their flow of patients and see if we could identify cost savings, especially around bed usage (one of their highest priority areas).
After conducting a high-level review of the trust, PCG proposed utilising their clinically rich data to identify the critical factors driving patient flow, demand and capacity, to maximise the level of understanding among key leaders and managers in the trust in order to manage and optimise operations. All to be through data driven insights built alongside (and to complement) their existing enterprise BI tools and reporting solutions. They agreed with our proposed solution, and we got started.
This led to interviewing over 50 stakeholders, creating over 70 user stories and completing over 130 different requests.
The outcome
PCG helped them identify how to make £127k cost savings per annum (67% RoI). For the first time, the trust actually had a true picture of what was happening within its organisation trust in real time - we created management reporting system with live data. This meant they could manage and monitor their patient 'breaches' more accurately. Management had a better overview on patient flow, challenges in the data and how different teams operate so differently throughout the sites. The trust gained better understanding of their own data architecture and databases, which higlightlighted the need to improve their data quality. We gave them statistical analysis methods to provide them a better understanding of existing services, and to set the foundations to eventually start doing predicative analytics. It also resulted in better working relationships across teams/directorates/sites and staff morale increased from the reduction in their already high-workloads