Introducing our Doctoral Candidates
Today - DC08 - Rachel Murphy - UT
What is your research about?
My research focuses on remote healthcare monitoring for older patients recovering from hip fracture surgery. I am developing a recovery monitoring pipeline using multimodal physiology-based artificial intelligence (AI) to detect early-onset complications using patients’ physiological signals.
Why is this research needed?
With a growing global ageing population, remote healthcare monitoring will improve healthcare processes and help save lives. In this digital age, we have a great opportunity to leverage intelligent sensing and communication systems. Tracking biomedical signals via remote healthcare monitoring will allow us to track hip fracture patients’ postoperative recovery in an objective and flexible way, whether they are in a clinic, home, or rehabilitation setting.
Where does your research take place?
At the University of Twente (Netherlands) in the Biomedical Signals and Systems (BSS) group, collaborating with Ziekenhuisgroep Twente (ZGT) and VSB – Technical University of Ostrava (Czechia).
Who will benefit from this research?
Clinicians, and more specifically, patients. By using advanced multimodal physiology-based models for better postoperative monitoring of older adults, we can support clinical decision-making and identify serious complications after hip fracture surgery earlier, such as pneumonia, delirium, infections, etc., improving patient outcomes and survival.
When did your project start and when will it finish?
I started my project on the January 15th, 2026. I will finish on January 14th, 2030.
