Founded in 2016, the MGH & BWH Center for Clinical Data Science is a joint center formed by Massachusetts General Hospital and Brigham and Women’s Hospital to transform healthcare by translating the latest advances in artificial intelligence (AI) into improved health outcomes and greater operational efficiency. With deep academic research expertise, access to significant computational power and data resources, and extensive product development and industry experience, the CCDS is uniquely positioned to improve the detection, diagnosis, treatment, and management of diseases through the application and commercial translation of AI techniques.
MGH & BWH Center for Clinical Data Science (CCDS)
Keith Dreyer DO, PhD, FACR, FSIIM
Chief Data Science Officer, Partners HealthCare, Chief Executive, CCDS
Ittai Dayan, MD
Executive Director of Strategy, Research & Clinical Operations, CCDS
Ram Naidu, PhD, MBA
Executive Director of Engineering, CCDS
Dr. Keith Dreyer, DO, PhD, FACR, FSIIM, is Chief Data Science Officer and Chief Imaging Information Officer for Partners HealthCare. He also holds the positions of Chief Executive for MGH & BWH Center for Clinical Data Science, and Vice Chairman of Radiology – Informatics at Massachusetts General Hospital and Brigham and Women’s Hospital. Dr. Dreyer is also Associate Professor of Radiology at the Harvard Medical School. He is ABR board certified in diagnostic radiology with a BS in Mathematics, MS in Image Processing, PhD in Computer Science and medical fellowships in Imaging Informatics and Magnetic Resonance Imaging from Harvard University at MGH.
Dr. Dreyer is the Chief Science Officer for the American College of Radiology’s Data Science Institute and has held numerous board, chair, advisory and committee positions with the American College of Radiology, Radiological Society of North America, Society of Imaging Informatics in Medicine and numerous global healthcare corporations. He has authored hundreds of scientific papers, presentations, chapters, articles and books; lecturing worldwide on clinical data science, cognitive computing, clinical decision support, clinical language understudying, digital imaging standards, and implications of technology on the quality of healthcare and payment reform initiatives.
Dr. Ittai Dayan is the Executive Director of Strategy, Research & Clinical Operations at the MGH & BWH Center for Clinical Data Science (CCDS). He is responsible for leading AI transformation by engaging researchers and industry collaborations to develop and implement AI-at-scale in the clinical and research environments at Partners. He is also responsible for developing and executing strategic AI initiatives across Partners. Before joining the center, Dr. Dayan was a Core Member of the Boston Consulting Group’s Healthcare Practice, leading both advisory and implementation projects in topics such as strategy, corporate development, organizational transformation and operations for Fortune 500 companies. His projects included assessing novel therapeutic modalities, digital health and progressive models for patient engagement. Prior to that, Dr. Dayan was a practicing physician and before that he was an officer in the airborne brigade of the Israeli Defense Force (IDF).
He completed his Bachelor of Science and Doctor of Medicine degrees from the Hebrew University of Jerusalem, as well as studies at the John Hopkins School of Public Health.
Dr. Ram Naidu is the Executive Director of Engineering at the MGH & BWH Center for Clinical Data Science (CCDS). In the center, he leads the Engineering division, which designs, develops and deploys machine learning systems within Partners, and through strategic industry relationships. Before joining the center, Dr. Naidu held leadership roles in Product Strategy, Program Management and R&D at BK ultrasound and Analogic Corporation where he led the development and introduction of disruptive imaging products powered by artificial intelligence in the Healthcare and Aviation Security markets. He was also a core member of the NIST working group that developed the ANSI N42.45 standard. Dr. Naidu received his Ph.D. in Biomedical Engineering from Boston University and a M.B.A. from the Questrom School of Business.
AI Platform Development
Collaborate on Commercially Sponsored Research & Development to Translate Research & Clinical Innovation into Products
Provide Validation and Regulatory Submission Support Services
- Provide access to a high-performance compute environment for creation of AI solutions
- Provide a vendor-neutral deployment system to run internally developed AI algorithms in a safe and scalable way in the clinical workflow while monitoring results
- Provide a landing dock for external vendors to deploy AI at Partners HealthCare
- Work with leading commercial partners to generate joint IP solutions
- Leverage Partners HealthCare ecosystem of laboratories and resources to facilitate research and development
- Allow internal developers in the system, as well as external developers to evaluate model performance and generalizability in support of FDA approval
- Enhance model features and performance to support FDA approval