Working together to understand the challenge Newton, alongside the trust’s operational, clinical and BI teams, were able to provide a level of insight that enabled the trust to understand: the areas with the greatest opportunity to improve and how to access them – by speciality, point in the pathway, operational planning guidance, and operational delivery lever; the relative potential for each opportunity to impact performance for prioritisation; the requirement for dynamic solutions and to recognise the knock-on impact of improvements across the pathway; and to forecast the required performance trajectory, including clock start / stop requirements to meet targets, and highlighting delivery risks for further consideration. Bringing a flow-based approach to elective recovery The Newton team were able to bring the sophisticated, dynamic flow-based approaches that have been so critical to solving Urgent and Emergency Care (UEC) flow across systems and apply the same technology, processes and predictive based thinking to elective recovery. This involved: Pathway Deep Dives - operational With agreed speciality and Points of Delivery (POD) areas, Newton worked alongside data validators to review cases and processes to further understand patient pathways and the opportunities to improve elective care performance. Static Data Analysis Combining publicly available and trust- provided data to analyse how the trust’s performance compared nationally and identified focus areas within the trust. Dynamic Analysis With the basis of data analysis and case studies
examined, a dive further into the data to identify the specific improvements that could be implemented, creating a dynamic view of how the waitlist is changing over time. Scenario Modelling Utilising the patient pathways identified from the case studies and the dynamic analysis, modelling how the suggested improvements would drive better 18-week performance and simulating how this would impact waiting lists at different parts of the patient pathway.
We showed that:
Over 55% of people with open clocks were waiting for a first outpatient appointment, and over 75% of patients have their clocks stopped in their first outpatient appointment. Up to 40% patients would have benefitted from a ‘straight to test’ pathway, improving patient experience and RTT performance. Providing actionable insights Through the deployment of technology and approaches that have been so critical to solving complex UEC flow optimisations and applying them alongside a deep understanding of elective care, Newton was able to surface actionable insight for the clinical, operational and leadership teams. This allowed the trust to build an optimised recovery plan that will dramatically reduce the numbers waiting for care over the next three years and contribute to achieving the 65% target by 2026, and 92% targets by 2029. We are really excited to be able to wrap this insight alongside Newton’s fee guarantee model to make a meaningful contribution to helping NHS trusts reduce the numbers of people waiting for care, enabling them to deliver better outcomes at a lower cost.
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