معرفی
Dr. Thomas Beaney is a GP and Clinical Research Fellow at Imperial College London's School of Public Health (Faculty of Medicine), with additional affiliation to The George Institute for Global Health UK. His work bridges clinical practice with data science to advance population health.
- PhD in Clinical Sciences (2024) - Imperial College London
- MSc in Medical Statistics (2016) - London School of Hygiene & Tropical Medicine
- PGCert in University Learning and Teaching (2021) - Imperial College London
- MBBS (2014) - Imperial College London
His research focuses on:
- Clustering diseases and patient populations to understand multiple long-term conditions (MLTC)
- Applying AI/digital health tools to improve healthcare delivery
- Global burden of hypertension and multimorbidity
- Analysis of large-scale electronic health records (EHRs)
- Machine learning and epidemiological methods integration
- NHS digital transformation and patient safety
Recent publications highlight:
- Global hypertension screening through May Measurement Month (MMM) campaigns
- AI scribe regulation and clinical summarization
- Machine learning for disease trajectory analysis
- Patient continuity of care across primary/secondary care
- Digital health literacy determinants
- Hypertension-diabetes comorbidity patterns
Scientific contributions include:
- Clinical PhD fellowship (Wellcome Trust 4i Programme)
- NIHR Academic Clinical Fellow
- NIHR Research Methods Scholar
As May Measurement Month lead statistician since 2017 and Trustee since 2022, he drives global blood pressure awareness initiatives. Contact: thomas.beaney@imperial.ac.uk | tbeaney@georgeinstitute.org.uk
۰مقاله منتشرشده
