REDM combines complementary expertise to address a variety of different digital medicine challenges in a consorted way.
Biostatistics and epidemiology
To allow a focus on personalized medicine, aside from RCT's and experimental design, more advanced statistics as well as data science methods are required, to address data collected with more flexible study designs. Additionally, qualitative approaches complement the quantitative approach to study the relevant patients' perspective.
Big data and digital health data platforms
To allow a focus on personalized medicine, aside from RCT's and experimental design, more advanced statistics as well as data science methods are required, to address data collected with more flexible study designs. Additionally, qualitative approaches complement the quantitative approach to study the relevant patients' perspective.
Innovation and evaluation of health care services
To allow a focus on personalized medicine, aside from RCT's and experimental design, more advanced statistics as well as data science methods are required, to address data collected with more flexible study designs. Additionally, qualitative approaches complement the quantitative approach to study the relevant patients' perspective.
