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Amitava Banerjee

University College London Institute of Health Informatics, Amrita Institute of Medical Sciences and Research Centre, University College Hospital

Research areas: Medicine · Infectious Diseases · COVID-19 Clinical Research Studies · Long-Term Effects of COVID-19 · Atrial Fibrillation Management and Outcomes

ORCID iD 0000-0001-8741-3411

About

Amitava Banerjee is Professor of Clinical Data Science, University College London, and Consultant Cardiologist at University College London Hospitals and Barts Health NHS Trusts. He is a researcher, educator and clinician with interests spanning data science, cardiovascular disease, global health, training and evidence-based healthcare. He has been active clinically and academically throughout the pandemic. After qualifying from Oxford, he trained in Oxford, Newcastle, Hull and London, completing a Masters in Public Health at Harvard(2004/05), internship at World Health Organisation(2005) and DPhil in epidemiology from Oxford(2010). He was Clinical Lecturer in Cardiovascular Medicine in Birmingham, before moving to UCL in 2015.

Originally trained as an epidemiologist, he moved sideways to health informatics and learning health systems, allowing his clinical, research and education interests in cardiovascular and non-communicable disease(CVD and NCD) to inform and improve each other, centred on patients and driven by data. With over 200 publications(h-index 61), his research has emphasised application of routine data to improve knowledge and care of CVD and NCDs through epidemiology, data science and integrated care. The theme of better data for better care underpins his work, whether CVD in homeless individuals, NCD care in India, Global Burden of Disease Study, COVID or long COVID.

Employment

Education

Education history is unavailable.

Projects & Funding

  • Improving cardiovascular care using electronic health records American Heart Association
    2024 - 2025
  • Complex Multiple long-term conditions (MLTC) Phenotypes, Trends, and Endpoints (CoMPuTE) National Institute for Health and Care Research
    2023 - 2028
  • STIMULATE-ICP (Symptoms, Trajectory, Inequalities and Management: Understanding Long-COVID to Address and Transform Existing Integrated Care Pathways) National Institute for Health and Care Research
    2021 - 2024
  • Digital interventions for cardiometabolic disease in South Asians- a case study for opportunities, risks and inequalities in digital health NIHR
    2020 - 2023
  • Investigating incidence, severity and risk factors for COVID-19 in BAME and Migrant groups to inform public health action. Medical Research Council
    2020 - 2022
  • Using large-scale routine data to monitor and improve ethnic inequalities in cancer and cardiovascular disease British Medical Association
    2019 - 2022
  • DECISIONS: DEvelopment of a Comprehensive Intervention to Support Individuals with anticoagulatiON to prevent Stroke. NIHR
    2019 - 2021
  • Defining obesity cut-off points for the risk of type 2 diabetes, cardiovascular disease, and cancer among minority ethnic groups: a prospective cohort study using national linked electronic health records NIHR
    2019 - 2020
  • To develop the economic analysis that will persuade clients to incorporate a new diagnostic tool into the clinical diagnostic pathway for liver disease. Innovate UK
    2019 - 2022
  • An integrated approach to cardiovascular disease in homeless individuals-unmet needs in epidemiology, risk prediction and management Programme Development Grants
    2018 - 2019
  • A learning health system for adherence to secondary prevention in cardiovascular disease in Kerala using informatics and non-physician health workers: a pilot study Royal College of Surgeons of England
    2017 - 2018
  • Big Data@Heart Innovative Medicines Initiative
    2017 - 2022
  • Performance-based Innovation Rewards FP7 Ideas: European Research Council
    2014 - 2019

Publications (410)