Center for Clinical and Quality Analysis
The Clinical and Quality Analysis (CQA) Group conducts research evaluating the impact of clinical information systems on patient safety, quality, and care delivery. CQAâ€™s efforts promote the understanding of the value of healthcare information technology and inform the design, development, and implementation of effective tools to support quality patient care. In addition to building its own information systems, the Center staff is also involved in clinical trial design and implementation. Dr. David Bates directs CQA.
Center for Evidence-Based Imaging
The Center for Evidence Based Imagingâ€™s (CEBI) mission is enabling measurable improvements in quality, safety, and efficiency of care in day to day practice of medicine using healthcare informatics in the context of medical imaging. Using a multi-disciplinary collaborative approach with researchers, healthcare providers, systems engineers, process and change management professionals, CEBI researchers help create, implement, and measure impact of innovative health IT tools in the clinical environment. Dr. Ramin Khorasani directs CEBI, and Dr. Katherine Andriole co-directs its training activities.
Childrenâ€™s Hospital Boston
Childrenâ€™s Hospital Informatics Program
The Children's Hospital Informatics Program (CHIP) is a multidisciplinary applied research and education program at Childrenâ€™s Hospital Boston. CHIP investigators work at the intersection of information science, healthcare, and biomedical discovery, advancing the state-of-the-art in functional genomics, personalized medicine, biomedical research collaboration, and public health. Dr. Isaac Kohane directs CHIP, and Dr. Kenneth Mandl directs its training activities.
Clinical Decision Making Group
The Clinical Decision Making Group (CDMG) of the MIT Computer Science and Artificial Intelligence Laboratory is a research group dedicated to exploring and furthering the application of computer technology and artificial intelligence to clinical settings. The group focuses on research on extracting formal clinical data from narrative medical records and doctor-patient conversations, building predictive decision support models in support of diagnosis and therapy planning, and development of new machine learning techniques to learn relationships based on a combination of clinical and genomic data. Dr. Peter Szolovits directs CDMG.
Computational Epidemiology Group
Department of Biomedical Informatics
The Department of Biomedical Informatics (DBMI) is a research center that promotes and facilitates collaborative activities in biomedical informatics among researchers at Harvard Medical School and its affiliated institutions. DBMI also provides leadership for the informatics activities of the Harvard Catalyst, Harvardâ€™s Clinical and Translational Science Center. DBMI conducts research in several broad areas: bioinformatics, clinical informatics, translational science, and interdisciplinary collaboration.
Division of Clinical Decision Making, Informatics, and Telemedicine
Laboratory of Computer Science
The Laboratory of Computer Science (LCS) is a division of the Department of Medicine at Massachusetts General Hospital. It has several areas of emphasis: teaching, research, clinical services, and industry relations and translational science with the goal of commercializing technologies. The Laboratory pursues basic and applied research to improve the efficiency and effectiveness of information management and to provide â€œJust in Timeâ€ access to clinical and research knowledge. Dr. Henry Chueh directs LCS, and Dr. William Lester co-directs its training activities.
The Division of Clinical Informatics
The Division of Clinical Informatics (DCI) aims to improve the quality and reduce the cost of medical care, enhance the quality of medical education, improve the relationship between doctors and patients, and explore innovative approaches to research through computing. The Division has two primary interest areas: information systems that support doctors and nurses in patient care, and empowerment of patients to participate in their own care. The Divisionâ€™s work includes patient-centered computing, family-centered computing, and population-based computing. Dr. Charles Safran directs DCI.