Evidence-based management of heart failure through risk prediction and decision support algorithms (Mrs Nathalie Conrad)
Supervised by Professor Kazem Rahimi, this PhD student is developing a new computer model to help doctors care for people with heart failure. Heart failure, when the heart cannot pump blood effectively around the body, severely impacts health and quality of life. Many people with heart failure have to stay in hospital regularly, and around a third of people die within a year of diagnosis. Caring for heart failure patients is complicated, requiring several different medications. Detecting clinical deterioration early on is essential as people can then be given treatments to prevent them from getting worse and to improve their quality of life. In this project, the student will develop new computer-based tools to help doctors make the right clinical decisions about how to manage people in the community who have heart failure. These tools will identify patients who are at high risk of getting worse, and will suggest appropriate treatments that are backed up by the latest scientific knowledge and personalised to each patient’s medical history. This research could generate a new computer-based tool that has the potential to improve medical care received by people with heart failure. It could improve their health, quality of life and reduce the costs of health care for the NHS.
Project details
| Grant amount | £121,831 |
|---|---|
| Grant type | Fellowships |
| Application type | PhD Studentship |
| Start Date | 12 February 2016 |
| Duration | 3 years |
| Reference | FS/16/10/32053 |
| Status | In Progress |
