Computational health science refers to the application of advanced computational tools to healthcare data, integrating the analytical strengths and unique skills of health scientists and computer scientists. At KI, we conduct data-driven research on clinical data sets to produce insights and develop tools, policies or practices that impact health.

Some examples include:

• Developing a risk score for early detection of disease
• Characterizing the population distribution according to various clinical risk levels
• Gaining insights into how a disease develops to communicate information about prevention, tests, treatment or care