Contact information
Research groups
Gianluca Fabiano
PhD, MRes, AFHEA
Senior Researcher in Health Economics
My work is dedicated to informing healthcare resource allocation toward outcomes that maximise public value. My research focuses on questions such as:
- What is the economic impact of diseases, and which treatments deliver the greatest value for money?
- How can healthcare data be leveraged to drive informed, personalised and equitable decisions?
- To what extent do public and private sector interests align—or conflict—with patient and societal needs?
I conduct economic evaluations and develop decision-analytic models that estimate the costs and clinical effectiveness of both existing and emerging interventions across a broad range of diseases, with a focus on musculoskeletal conditions.
My work involves using real-world data that is routinely collected from observational datasets like CPRD, HES, or patient registries in the UK and internationally. Additionally, I work with health data mapped to the OMOP Common Data Model enabling network analyses across multiple national and international datasets. Alongside my research, I teach the health economics module for the MSc in Musculoskeletal Sciences and I am an Associate Fellow of the Higher Education Academy.
I began my career as a researcher in Italy, where I studied Political and Public Economics. During my time as an exchange student in Spain, I became interested in Health Economics. This led me to pursue an MRes and a PhD in Health Economics in the UK. I am a traveller driven by intellectual curiosity, eager to learn from the perspectives of colleagues and students across diverse fields and cultures.
Recent publications
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Activity outcomes after hip arthroplasty: an information tool based on patients' experience captured in a hospital registry.
Journal article
Cole S. et al, (2025), Bmc musculoskelet disord, 26
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Unlocking the potential of electronic blood transfusion systems: Implementation insights from NHS hospitals in England.
Journal article
Tomini F. et al, (2025), Br j haematol
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An artificial intelligence algorithm to improve diagnosis of vertebral fractures embedded in fracture liaison services can reduce fractures and reduce costs
Conference paper
Pinedo Villanueva R. et al, (2025), 2025 wco abstract book
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Dimensions of health workforce performance: a scoping review
Journal article
Fabiano G. et al, (2024), Glo discussion paper
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Activity outcomes after hip arthroplasty: an information tool based on patients’ experience captured in a hospital registry
Preprint
Cole S. et al, (2024)