The Center is engaged in an interdisciplinary research that seeks to improve human health by studying and facilitating the effective uses of diverse biomedical data, health information exchange, 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 for precision medicine. Multidisciplinary approaches from basic sciences, biomedical informatics and engineering, computer and data sciences, medicine and dentistry, and system biology are employed to support improved ability to collect, reason upon, and utilize heterogeneous data streams related to oral health. Successful integration of currently disparate sources of information and knowledge facilitates creation of innovative solutions for personalized healthcare delivery.
The research projects at the Center for Biomedical and Population Health Informatics are aligned with the major domains of biomedical informatics including research informatics, translational informatics, healthcare informatics, and public health informatics as described below.
Research informatics projects catalyze the discovery and management of new knowledge by providing approaches, methodology, and architecture supporting pre-clinical, clinical and translational research. It includes innovative solutions promoting patient engagement into clinical trials, data collection tools, management of information related to clinical research, and also involves intelligent integrative informatics approaches for harmonized aggregation, visualization and sharing of heterogeneous biological and healthcare data streams.
Translational informatics projects include big data analytics, predictive modeling, novel techniques for the 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.
Healthcare informatics projects include innovations in electronic health records (EHR), 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 healthcare 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.