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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 (2)
  • Patient safety (2)
  • Planning (4)
  • Policy (2)
  • Treatment and prevention (10)
  • (-) Understanding disease (6)
Disease type or population group
  • Cancer (6)
  • (-) Cardiovascular disease (4)
  • Dementia (2)
  • Diabetes (3)
  • Kidney disease (1)
  • (-) Multiple sclerosis (1)
  • (-) Musculoskeletal conditions (1)
  • Parkinson's (1)
Sources of data
  • Cancer Registration (1)
  • GP records (3)
  • Hospital Episode Statistics (HES) (2)
  • Office for National Statistics (ONS) (1)
  • Research cohorts (1)
Location
  • Europe (1)
  • International (1)
  • UK (4)
Type of organisation
  • (-) Charity (6)
  • Commercial organisation (2)
  • Government (3)
  • NHS (4)
  • University (6)
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
  • How does lifestyle affect health?

    Using patient data to understand the impact of diet on health

    • Understanding disease
    • Treatment and prevention
  • 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
  • Does pain get worse in bad weather?

    Using smartphone data to analyse the potential relationship between weather and pain

    • Understanding disease
  • Living with Multiple Sclerosis

    Collecting self reported data to better understand the lives of people with MS

    • Understanding disease
    • Treatment and prevention
    • Policy
  • Investigating trends in diabetes

    Understanding why diabetes rates vary between ethnic groups

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