Research

The Center performs interdisciplinary research and seeks to improve human health by studying and facilitating effective use of diverse biomedical data. Our focus is on the exchange of health information, standards and terminologies, information access and sharing, data aggregation and harmonization, digital knowledge generation and management, problem solving, and decision-making.

Our research is focused on precision health and improving personalized care delivery using big data analytics, predictive modeling, and deep phenotyping. We employ multidisciplinary approaches from basic sciences, biomedical informatics, engineering, computer and data sciences, medicine and dentistry, and system biology. By integrating these sources of information, we can develop innovative solutions for personalized health care.

The research projects at the Center for Biomedical and Population Health Informatics are aligned with the major domains of biomedical informatics. These include research informatics, translational informatics, health care informatics, and public health informatics. We describe each of these areas below.

Research informatics projects provide approaches, methodology, and architecture supporting pre-clinical, clinical, and translational research. The projects promote patient engagement in clinical trials, data collection tools, and management of clinical research data. In addition, these projects involve integrative informatics approaches for harmonized aggregation, visualization, and sharing of heterogeneous biological and health care data streams.

Translational informatics projects include big data analytics; predictive modeling; novel techniques for integrative analysis of biological and clinical data; precision medicine; deep phenotyping; computerized analysis of genetic variation, proteomics, metabolome, microbiome, and exposome; and examination of links between personalized health and systemic conditions.

Health care informatics projects encompass innovations in electronic health records, clinical decision support, quality improvement, patient safety, telemedicine, telerehabilitation, digital and mobile health, consumer informatics, personalized care delivery, real-time asset management, value-based care systems, and learning health care systems.

Population health informatics projects include development and evaluation of innovative approaches for population health literacy, health decision aids, health outcomes research, risk stratification, and population surveillance.