Discover some success stories where health data standards have helped to secure safety and quality of care.
‘Big Data’ was used for the early identification of other diseases associated with cancer.
There were 17 million new cases of cancer worldwide in 2018 and that number continues to rise. Cancer has a huge impact on patients. It is also a major burden for health care systems across the world. Patients with cancer may be at a higher risk of also developing other diseases. If clinicians knew which other diseases have the highest risk of occurring in patients with each type of cancer, they could prioritise trying to detect that disease early or, if possible, prevent it from occurring.
Research was undertaken to improve medical and research understanding of which additional diseases are most likely to occur in patients with cancer. The work focused on patients with the nine most commonly occurring cancers. The aim was to develop a way of helping clinicians and researchers in the future to discover which other diseases might be associated with cancer in the same patient over time.
After analysing the data, a computer program was set up to detect diseases occurring in any patient within three years of each other, and to display these disease associations in ways that would help a scientist to determine the strongest disease connections. This collection of disease associations was used to create a visual image that can be rotated or zoomed to enable very detailed inspection. This system is called the Cancer Associations Map Animation (CAMA).
This systems helps clinicians to become aware of other diseases that their cancer patient might be at risk from and early detect or prevent this from occurring.