Senior Health Data Scientist
- CPRD fob holder for NDORMS
- Real-world clinical data expert
- EHDEN OMOP common data model specialist
- EHDEN UK data science lead
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 mining and advanced curation of real-world health data routinely collected by GPs (e.g. Clinical Practice Research Datalink - CPRD - GOLD and Aurum), hospitals (e.g. Hospital Episode Statistics - HES) and registries (e.g. Office for National Statistics - ONS - Mortality, etc.)
I am passionate about the impact of algorithmic automation on real-world data management, its role in the statistical process and its impact on medical research. My main interests are:
- performance and competitiveness
- assessment, measurement and enhancement of real-world clinical data quality
- research quality, consistency, reproducibility and transparency
My aim is to make best use of clinical real-world data by developing robust, transparent and automated processes regulated and documented by standard operating procedures.
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 clinical real-world data, which has allowed for the delivery of more than twenty observational studies so far. In 2017 I was given solo responsibility for the NDORMS CPRD fob. In 2018 I became co-char of the Big Health Data Group and I joined the European Health Data and Evidence Network (EHDEN) collaboration. In 2019 I became responsible for OHDSI UK Data Science activities.
Safety of oral bisphosphonates in moderate-to-severe chronic kidney disease: a bi-national cohort analysis.
Robinson DE. et al, (2020), J bone miner res
Higher prevalence of non-skeletal comorbidity related to X-linked hypophosphataemia: a UK parallel cohort study using CPRD.
Hawley S. et al, (2020), Rheumatology (oxford)
Costs of joint replacement in osteoarthritis: a study using the National Joint Registry and Clinical Practice Research Datalink datasets.
Leal J. et al, (2020), Arthritis care res (hoboken)
The use of preventative treatments (statins, bisphosphates and anti-hypertensives) in older patients with complex health needs: An analysis of UK primary care and linked hospital data
He Y. et al, (2020), Pharmacoepidemiology and drug safety, 29, 297 - 297
Three strategies to measure frailty and/or complex health needs in real world data: An analysis of UK primary care and hospital linked data
Elhussein L. et al, (2020), Pharmacoepidemiology and drug safety, 29, 283 - 284
Secular trends in the initiation of therapy in secondary fracture prevention in Europe: a multi-national cohort study including data from Denmark, Catalonia, and the United Kingdom.
Skjødt MK. et al, (2020), Osteoporos int, 31, 1535 - 1544
Descriptive epidemiology of hip and knee replacement in rheumatoid arthritis: An analysis of UK electronic medical records.
Hawley S. et al, (2020), Semin arthritis rheum, 50, 237 - 244
Prevalence and Mortality of Individuals With X-Linked Hypophosphatemia: A United Kingdom Real-World Data Analysis.
Hawley S. et al, (2020), J clin endocrinol metab, 105