Computational Health Informatics Program | Research

The ability to acquire and then reason over an entire spectrum of data types ranging from molecular and genomic all the way to clinical, epidemiological, environmental and social is now seen as central to improving patient care and advancing biomedical science.

This vision has led CHIP faculty to pursue interests in the methods, approaches, and tools of biomedical informatics and to an understanding that, increasingly, biomedical research and medical practice involve knowledge management and engineering and data-to-knowledge processes that can only be performed at scale by embracing the full spectrum of available data.

CHIP Research

CHIP innovations have transformed the landscape of big data in health care, the use of AI in clinical decision making, and the IT strategies of technology giants. Our discoveries and inventions have been widely adopted across the healthcare ecosystem. Apple uses our technology to connect patients to their data at 500 health systems. Google, Microsoft, the VA, the Centers for Medicare and Medicaid, as well as scores of health systems and technology companies use it too. Our software is reading millions of doctors’ notes across sites of care and surfacing key insights about adverse medication effects. Our leading-edge precision medicine clinics are personalizing choices of therapies for children, many of whom had thought they were out of options. Our biosurveillance computational platforms have found the earliest signals of Ebola outbreaks.