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Case studies

There is a wide range of ways that patient data can be used to provide better care and improve health. Explore the case studies to learn more. Please let us know if you have good examples to share.

Impact of work
  • (-) Diagnosis (1)
  • Individual care (4)
  • Planning (2)
  • (-) Treatment and prevention (6)
  • Understanding disease (4)
Disease type or population group
  • Asthma (3)
  • Cancer (8)
  • Cardiovascular disease (4)
  • COPD (1)
  • (-) Dementia (1)
  • (-) Diabetes (2)
  • Genetic diseases (1)
  • Infectious disease (2)
  • (-) Kidney disease (2)
  • Mental health (2)
  • Multiple sclerosis (1)
  • Musculoskeletal conditions (2)
  • (-) Parkinson's (1)
  • Pregnancy and maternal health (1)
  • Rare diseases (1)
Sources of data
  • Clinical audit (1)
  • GP records (1)
  • Hospital Episode Statistics (HES) (2)
Location
  • UK (6)
Type of organisation
  • Charity (11)
  • Government (3)
  • (-) NHS (6)
  • University (7)
Media
  • Case study with video (1)
  • Updating the understanding of the risks of diabetes

    Using GP data to learn more about diabetes

    • Understanding disease
    • Treatment and prevention
  • Supporting research into rare kidney disease

    Using registry data to search for treatments for rare diseases

    • Individual care
    • Understanding disease
    • Treatment and prevention
  • Improving dialysis treatment in the UK

    Linking data to analyse kidney patients' treatment

    • Individual care
    • Treatment and prevention
    • Planning
  • Understanding the impacts of genes, lifestyle and environment

    UK Biobank stores health data on 500,000 volunteers to provide a resource for researchers

    • Understanding disease
    • Treatment and prevention
  • Tackling preventable amputations

    Improving understanding of preventable, diabetes-related amputations

    • Individual care
    • Treatment and prevention
    • Planning
  • Tracking Parkinson's

    Improving understanding of the biological changes involved in Parkinson's

    • Understanding disease
    • Diagnosis
    • Treatment and prevention
  • Understanding Patient Data
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