By Tushar Jhanwar, Modelling Associate – CADDA, University of Kent
At CADDA, our aim is to strengthen how health systems understand, design, and improve clinical pathways. To support this, we are introducing an enhanced Operational Research (OR) modelling capability, grounded in simulation, pathway analysis, and evidence-based decision support.
This work is informed by practical experience delivering modelling solutions across NHS programmes, including simulation of complex treatment pathways, integrated planning, and life sciences transformation. During earlier work with the University of Manchester, a Discrete Event Simulation (DES) model for CAR-T therapy demonstrated how mapping the full treatment pathway-from referral through manufacturing and infusion-can reveal bottlenecks and resource constraints that are not visible through traditional analytics. The model showed potential to reduce waiting times by 30%, illustrating the value of simulation in supporting high-acuity services.
Subsequent roles across NHS transformation, including programme delivery within NHS Arden & GEM, have reinforced the importance of modelling in enabling coordinated workforce, demand and capacity, and financial planning. Supporting Integrated Care Systems to adopt unified, analytical planning approaches has shown how OR frameworks can turn complex operations into clear, actionable insights.
More recently, work with the Midlands Cancer Alliances on establishing a regional Life Sciences Hub highlighted the need for simulation-based approaches that can test innovation impact before implementation. Mapping data workflows, aligning clinical partners, and shaping operating models underscored how pathway modelling can de-risk adoption and support consistent, scalable change.
CADDA’s Operational Research Modelling Offer
The new OR modelling capability at CADDA provides a structured work package designed to support research, evaluation, and pathway redesign:
- Discrete Event Simulation (DES) for complex clinical and operational pathways
- End-to-end pathway analysis, capturing flow, dependencies, and system behaviour
- Bottleneck and constraint identification to locate delays, inefficiencies, and capacity pressures
- Scenario and impact modelling, allowing teams to test reforms, innovations, and service changes safely
- Evidence-based options appraisal to inform strategic decisions and resource planning
This work package is designed to help researchers, NHS organisations, and cross-disciplinary teams gain deeper insight into how pathways function-and how targeted changes can deliver measurable improvements.
For collaboration or discussion, please feel free to reach out at T.Jhanwar-15@kent.ac.uk.