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Praveen Thokala joined CHE in May 2026 as a Reader in Health Economics.
Prior to joining CHE, he was at ScHARR in the University of Sheffield for 15 years. He is a highly experienced health economist with over 110 journal publications (24 as first author) and has supervised 10 PhD students to completion. He has worked on several health economic modelling projects for a range of stakeholders nationally and internationally, such as ICER in the US. He co-chaired the ISPOR Taskforce on the use of MCDA in health care decision-making and was part of ISPOR taskforces on quantitative benefit-risk analysis and optimisation.
His research interests include discrete event simulation (including capacity/resource constraints and queuing modelling), microsimulation (i.e. individual level modelling), optimisation, process mining and problem structuring methods.
Praveen Thokala has worked on several health economic modelling projects for NICE, including single technology appraisals, multiple technology appraisals and diagnostic assessment reports on a range of topics (Waldenströms macroglobulinaemia, breast cancer, ovarian cancer, prostate cancer, Alzheimer's disease and hepatitis C). He led health economics, both within-trial analysis and long-term modelling, in several clinical trials as a co-applicant including ASPIRED, TARGET-CTCA, ACUTE and RAPID-CTCA. He also led the economic modelling for ICER in US on SMA, lupus nephritis and sickle cell disease.
He has worked on several HTA projects including diagnostics (e.g. early or point of care testing), screening (e.g. new-born screening for spinal muscular atrophy), medical devices (e.g. telemonitoring), and system interventions (e.g. reconfiguration of vascular services). He has supervised 10 PhD students to completion on wide ranging topics such as shared decision making, resource modelling, understanding patient pathways, issues in HTA of rare diseases, multi-disease modelling, economic evaluation considering multi-sectoral impacts, and HTA/priority setting.
He is interested in working at the intersection of HTA and operations research techniques, such as health systems modelling, including capacity/resource constraints in HTA, discrete event simulation/queuing modelling, microsimulation/individual level modelling, optimisation, process mining and problem structuring methods. "