Case Studies

There is a wide range of ways that patient data can be used to provide better care and improve health. On this page you can read case studies of health data sharing initiatives and how they have benefitted patients, healthcare systems and wider society. We encourage you to share your case studies to help others learn from your experience. Please submit your case study to us by completing this template and sending it to Data Saves Lives team at dsl-info@eu-patient.eu

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Patient registries are a valuable source of real-world data (RWD)
Patient registries are a valuable source of real-world data (RWD)

Spinal Muscular Atrophy (SMA) is a rare genetic and progressive neuromuscular condition, which occurs in around 1 in every 6,000 to 10,000 live births. While symptoms do vary from person to person, it causes progressive muscle weakness and wasting. It can have significant health impacts. In severe cases, if left untreated, it is usually fatal by the age of around two years.

Using real world data (RWD)
Using real world data (RWD)

In this case study we examine how analysis of real-world patient data gathered from local Health Units can be a useful tool to assess adherence to treatment…

Using National Cancer Registry data
Using National Cancer Registry data

Using National Cancer Registry data for the benefit of the brain tumour community

Helping the Fight Against Alzheimer's
Helping the Fight Against Alzheimer's

Discovering a test to detect those at risk of developing Alzheimer's Disease

Early Detection of a Cancer Killer
Early Detection of a Cancer Killer

Helping identification of people at high risk of colorectal cancer from an existing blood test

A link between Body Mass Index and non-alcoholic fatty liver disease
A link between Body Mass Index and non-alcoholic fatty liver disease

Analysis of over 2 million anonymous patient records to establish how increasing body weight approaching obesity increases the risk of developing liver disease

Big Data’ used for the early identification of other diseases associated with cancer
Big Data’ used for the early identification of other diseases associated with cancer

A novel computer programme to help doctors and scientists to better understand which other diseases are likely to occur in patients with cancer.