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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 (4)
  • Individual care (6)
  • Patient safety (6)
  • Planning (6)
  • Policy (6)
  • Treatment and prevention (17)
  • (-) Understanding disease (7)
Disease type or population group
  • Autism (1)
  • Cancer (1)
  • Cardiovascular disease (4)
  • Diabetes (3)
  • Infectious disease (2)
  • Mental health (1)
Sources of data
  • Cancer Registration (6)
  • Clinical audit (1)
  • (-) GP records (7)
  • Hospital Episode Statistics (HES) (8)
  • Office for National Statistics (ONS) (4)
  • Research cohorts (3)
Location
  • England (3)
  • Europe (1)
  • International (1)
  • UK (2)
Type of organisation
  • Charity (3)
  • Commercial organisation (1)
  • Government (3)
  • NHS (3)
  • University (3)
Media
  • Case study with video (1)
  • Follow up for people discharged from hospital after a heart attack

    Linking three datasets to monitor drug adherence outside of hospital

    • Understanding disease
  • A better understanding of mental illness

    Linking data to improve treatment and prevention of mental illness

    • Understanding disease
    • Treatment and prevention
  • 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
  • Identifying public health risks

    Monitoring data to identify emerging risks, such as epidemics

    • Understanding disease
    • Treatment and prevention
    • Planning
  • Disproving the link between the MMR vaccine and autism

    Conclusively demonstrating that there is no link between the MMR vaccine and autism

    • Individual care
    • Understanding disease
    • Treatment and prevention
    • Patient safety
  • 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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