The Department of Biomedical Informatics develops and applies a broad range of informatics methods to biomedicine
at all scales from atomic interactions to world populations. We use the word biomedicine in our name to refer to our application area, but we mean it to be interpreted broadly, including all
aspects of health care, prevention, and public health. More details about our research efforts can be
found on the department faculty pages,
groups and lab pages,
and research projects page.
Our researchers fall roughly into three communities of practice, based on the types of methods they use:
- Empirical Discovery & Prediction—Computational simulation of biological systems focused on genomics and proteomics, data mining and knowledge discovery, machine learning and intelligent systems, and visual simulation of human biological systems.
- Human & Organizational Factors—Decision support, health technology evaluation, consumer health, electronic health records, public health systems, cognition, human computer interface and usability, and the organizational impact of information and technology
- Information Management—Clinical information systems, safety and quality improvement, knowledge management, information standards and interoperability, telemedicine, concept representation and natural language processing.