Antonella Delmestri
PhD
Lead Health Data Scientist
- Alan Turing Fellow
- CPRD fob holder for NDORMS
- EHDEN UK data science technical lead
- EHDEN OMOP common data model specialist
I am a computer scientist and software engineer at the Centre for Statistics in Medicine at NDORMS. I am responsible for the automation of data engineering, data modelling and advanced curation of real-world data (RWD) routinely collected by GPs, hospitals and registries, and used in observational research.
My research is focussed on the impact of algorithmic automation on RWD processing, its role in the statistical pipeline and its impact on the medical research output. My main interests are:
- data engineering, data modelling and advanced curation of RWD
- evaluation and improvement of RWD quality
- assessment, measurement and enhancement of algorithmic complexity
- research quality, ethics, reproducibility, consistency and transparency
BIOGRAPHY
I graduated in Computer Science at Udine University and completed my PhD in Information and Communication Technologies at Trento University, Italy. I have worked for several years in 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. My biggest achievement in this role was the whole IT management of ATLAS (Adjuvant Tamoxifen Longer Against Shorter), a long-term early breast cancer randomised controlled clinical trial. ATLAS involved more than 15,000 women recruited from over 600 sites in more than 20 countries worldwide, and its findings on patients' survival and recurrence using 5 versus 10 years of Tamoxifen changed clinical practice in the UK and worldwide.
In 2013 I joined NDORMS to lead the big data management of the Epidemiology Unit, and I started developing Curator, a data science tool for RWD, which has allowed for the delivery of more than twenty-five observational studies so far. In 2017 I was given solo responsibility for the NDORMS CPRD fob. In 2018 I joined the European Health Data and Evidence Network (EHDEN) collaboration and in 2019 I became responsible for OHDSI UK Data Science activities. In 2021 I was awarded an Alan Turing Fellowship
Recent publications
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The impact of the COVID-19 pandemic on short-term cancer survival in the United Kingdom: a cohort analysis
Preprint
Barclay NL. et al, (2023)
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Risk of adverse events following the initiation of antihypertensives in older people with complex health needs: a self-controlled case series in the United Kingdom.
Journal article
Jödicke AM. et al, (2023), Age ageing, 52
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The Impact of the UK COVID-19 Lockdown on the Screening, Diagnostics and Incidence of Breast, Colorectal, Lung and Prostate Cancer in the UK: a Population-Based Cohort Study
Preprint
Barclay NL. et al, (2023)
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The role of COVID-19 vaccines in preventing post COVID-19 thromboembolic and cardiovascular complications: a multinational cohort study
Preprint
Mercade-Besora N. et al, (2023)
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The Effectiveness of COVID-19 Vaccines to Prevent Long COVID Symptoms: Staggered Cohort Analyses of Data from the UK, Spain, and Estonia
Preprint
Catala Sabate M. et al, (2023)
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The burden of long COVID: a multinational cohort analysis of Spanish and UK data including SARS-CoV-2 infections, reinfections, and matched contemporaneous test negative controls
Preprint
Kostka K. et al, (2023)
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The burden of long COVID: a multinational cohort analysis of Spanish and UK data including SARS-CoV-2 infections, reinfections, and matched contemporaneous test negative controls
Preprint
Prieto-Alhambra D. et al, (2023)
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Association between outpatient follow-up and incidence of revision after knee and hip replacements: a population-based cohort study.
Journal article
Pinedo-Villanueva R. et al, (2023), Bmc musculoskelet disord, 24