Using digital tools, sensors, and information systems to support nurses and caregivers in their daily work. For example, we have studied how mat-type sleep sensors in nursing homes affect caregivers’ mental burden, and developed information systems that connect care providers in the community. Our goal is technology that fits naturally into real care settings.
Analyzing large-scale real-world data, such as medical and long-term care claims, to evaluate health services and inform policy. Our studies have examined how care management affects the progression of older adults’ care needs, and how national incentive schemes for dementia care have changed outcomes in hospitals. The evidence we produce helps shape better health and care systems.
Exploring how technology can help older people live well in their communities, and how to support the people who care for them. We investigate which care technologies older adults are willing to use, and how technology-based support can improve the well-being of family caregivers. Our work also extends globally, including a mobile health app for skin diseases in Côte d’Ivoire.
What you can learn here
You don’t need to be an expert programmer to join us. In our lab, you can build practical skills in handling and analyzing real-world health data with Python, R, and SQL, along with the clinical perspective needed to ask meaningful research questions.