Digital healthcare (or "digital health") refers to the use of digital technologies in healthcare, such as the Internet of Things (IoT), big data, and artificial intelligence, to improve an individual's health. Digital healthcare avails a tremendous opportunity for improving individuals' health and healthcare in general.  Digital healthcare presents a tremendous opportunity to improve the health of individuals and healthcare as a whole. The COVID-19 tracking application is one of the few digital applications in the health sector. Other notable applications of artificial intelligence (AI) technology include drug discovery and cancer detection, among others.

However, just as there are opportunities, there are also obstacles. The challenges in digital healthcare are multidisciplinary and stem from both the health sector and the technologies that are being used. For example, the use of digital technologies such as AI raises concerns regarding bias and transparency in AI-based (or assisted) healthcare applications. In addition, there is also a concern about data privacy.

Our research on digital healthcare focuses on developing novel tools and techniques to improve the health of individuals and assist physicians, understanding the effects of various factors such as socio-cultural and environmental factors on the health of individuals, and addressing challenges such as privacy and bias. Though our research on digital healthcare encompasses all aspects of healthcare, we place a special emphasis on research into predictive healthcare.

Sustainable Development Goals:

Our digital healthcare research aligns with the following Sustainable Development Goals of the United Nations: