Antonella Delmestri
PhD
Lead Health Data Scientist
- Alan Turing Alumnus
- EMA-led DARWIN EU® initiative PI data partner
- EHDEN UK data science technical lead
- OHDSI OMOP common data model specialist
- CPRD fob holder for NDORMS
I lead the Data Science group, responsible for the modelling and standardisation of real-world data (RWD) routinely collected by GPs, hospitals and registries, and used in observational research to produce clinical evidence. I am a collaborator of EMA-led DARWIN® EU initiative, EHDEN, OHDSI, and an expert in the OMOP common data model. I am an Alan Turing Alumnus and I serve as member of the Turing Research Ethics (TREx) panel.
My research is focussed on:
- assessment, evaluation and curation of RWD
- impact of RWD quality on medical research output
- data modelling and data standardisation of RWD
- measures of similarity/distance between RWD and their standardised versions
- measurement and enhancement of algorithmic complexity in the context of RWD engineering
- research ethics, research quality, reproducibility, consistency and transparency
BIOGRAPHY
I graduated in Computer Science at the University of Udine and completed my PhD in Information and Communication Technologies at the University of Trento (Italy). I have worked for several years for companies developing firmware and software for electronic devices.
In 2006 I moved to the U.K. to join the Clinical Trial Service Unit (CTSU) at Oxford University. In 2013 I joined NDORMS to work on RWD science in the Epidemiology Unit. In 2018 I joined the European Health Data and Evidence Network (EHDEN) collaboration and in 2019 I started leading the OHDSI UK Data Science technical activities. Between 2021-24 I was a Fellow at the Alan Turin Institute. Since 2022 I am a PI Data Partner in the EMA-led DARWIN® EU initiative.
Recent publications
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Effect of intra-articular corticosteroid injections for knee osteoarthritis on the rates of subsequent knee replacement and post-operative outcomes: a national cohort study of England
Hawley S. et al, (2025), Bmc medicine
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Treatment choice for adult patients with moderate-to-severe asthma – The TAILOR study
Jeannetot D. et al, (2025), Erj open research, 00869 - 2024
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Effect of intra-articular corticosteroid injections for osteoarthritis on the subsequent use of pain medications: a UK CPRD cohort study
Prats Uribe A. et al, (2025), Rheumatology
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Incidence, prevalence, and survival of head and neck cancers in the United Kingdom from 2000-2021
Miquel Dominguez A. et al, (2024)
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Incidence of post-acute COVID-19 symptoms across healthcare settings in seven countries: an international retrospective cohort study using routinely-collected data
Xie J. et al, (2024), Eclinicalmedicine, 77, 102903 - 102903
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Time Series Methods to Assess the Impact of Regulatory Action: A Study of UK Primary Care and Hospital Data on the Use of Fluoroquinolones.
Guo Y. et al, (2024), Pharmacoepidemiol drug saf, 33
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Secular trends of incidence and prevalence of parkinsonism and subtypes: A cohort study in the United Kingdom
Chen X. et al, (2024)
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Incidence, prevalence, and survival of prostate cancer in the UK
Tan EH. et al, (2024), Jama network open, 7