Emergency Departments worked better during the strikes. But why?
New research published in the Journal of the Royal Society of Medicine explores why emergency departments worked better during strikes.
The hidden challenge at the heart of the 10-year plan
A new tool exploring why hospital bed pressure is increasing and what this could mean for future NHS capacity planning.
A new tool to help systems to deliver the left shift
Our new tool to help systems explore opportunities to reduce hospital care.
Improving perioperative flow: using simulation to understand elective care pathways
Why are operations still being cancelled on the day of surgery, despite long waiting lists and high demand? The answer often lies not in a single point of failure, but in how the perioperative pathway functions as a whole.
Discharge before noon
Can data on discharge times help us to improve hospital flow?
Why NHS models should be built to be reused
Our Head of Simulation, Dr Lucy Morgan, recently appeared on the new podcast Inside the Algorithm, hosted by Cambridg
Big GP practices: light work or spoilt broth?
Larger GP practices may deliver more appointments, but are they the most efficient way to provide good care?
Discharged without a diagnosis
In 2023/24, one million people who were admitted to an NHS hospital in an emergency, were later discharged without a diagnosis. This long-read examines what this means for patients and providers.
What explains the recent growth in hospital activity?
In this long read, Fraser Battye describes our analysis of what has driven the growth in hospital activity.
Planning for rising renal demand: simulating capacity across the care system
Demand for kidney replacement therapy is rising, and current capacity will not be sufficient over the next decade. This work uses simulation modelling to help systems understand future pressures and test potential responses.
Beating the backlog: Meeting the waiting list challenge
The NHS waiting list in England must halve to reach waiting time targets.
The Strategy Unit contribution to neighbourhood health
Our role in supporting the national effort to turn the vision of neighbourhood health into action by providing evidence, analysis and insight.
Shifting care ‘from hospital to community’: where to start?
What are the opportunities to shift activity from hospital to community? Our analysis provides an evidence-based place to start.
The decline in care continuity is not inevitable
Relational continuity of care, the extent to which patients have an ongoing relationship with a specific clinician in their GP practice, is perhaps
A missing element in ‘shifting care’
Our Director, Peter Spilsbury, outlines the scale of the task when it comes to making ‘the shift from hospital to community’.
Strategy Unit demand model wins prestigious Florence Nightingale Award
Our open-source demand model, developed in collaboration with the New Hospital Programme, has been named the 2025 winner of the Florence Nightingale Award for Excellence in Health and Care Analytics.
Mending smarter, not harder: Changing fracture care for children
The report demonstrates there is significant variation between trusts in England in how paediatric fractures are managed. Widespread adoption of less interventional approaches to paediatric fracture management could result in significant savings in hospital activity, particularly reduced follow-up appointments for uncomplicated fractures.
Things can only get better (?)
Introducing a new online tool to help local health and care service planners think differently about healthy ageing.
Transforming Hospital Planning with an Open-Source Demand and Capacity Model
We are proud to announce the open-sourcing of a demand and capacity model, developed with the New Hospitals Programme, to transform NHS hospital planning with transparency, collaboration, and efficiency.
Our role in the New Hospital Programme
Learn how the Strategy Unit’s innovative model is transforming hospital planning by providing a consistent, data-driven approach to forecast future demand and evidence-based decision making.