Summary
In this podcast, a panel consisting of Dr. Barry Chaiken, the Clinical Chief at Tableau Software, Charles Gabrial, the Project Manager of Standards & Interoperability at The Federal Electronic Health Record Modernization, Cupid Chan the BI & AI Committee Chair of LF Data & AI at the Linux Foundation, and Chris Cooper, the AVP of Health and Education at Collibra highlight the value of data intelligence within the healthcare industry.
Data continues to play a critical role in health transformation by providing new ways to improve outcomes, increase access to care and accelerate the rate at which novel therapeutics and treatments are available. Yet the potential value that data brings to these fundamental challenges in healthcare is not fully realized due to common data challenges around access, understanding, trust and a need to protect individual privacy. Data Intelligence is the ability to understand and use your data in the right way. It is the output or result of connecting the right data, insights and algorithms to allow to clinicians, researchers and administrators to optimize processes, increase efficiency and drive innovation. The panel will look at how the Federal Government is applying the concepts of Data Intelligence to unlock the potential value in federal health.
Speakers
Barry Chaiken, MD, MPH, is the clinical lead at Tableau Healthcare and has more than 25 years of experience in medical research, epidemiology, clinical information technology, and analytics. He is board-certified in general preventive medicine and public health and is a fellow and former board member and chair of HIMSS. As the founder of DocsNetwork Ltd., Chaiken worked on quality improvement studies, health IT clinical transformation projects, and clinical investigations for the National Institutes of Health, UK National Health Service, and Boston University Medical School.
Project Manager of Standards & Interoperability
The Federal Electronic Health Record Modernization
A certified professional in information technology acquisition, he advises on the Department of Defense acquisition processes. He represents the defense Health Agency and collaborate with many Federals organizations, industry consortiums and at research institutions for clinical quality, digital health and analytics, such as the Centers for of Medicare and Medicaid (CMS), the Greater Washington Board of Trade, the Healthcare Information and Management Systems Society (HIMSS), and the University of Maryland College Park.
BI & AI Committee Chair of LF Data & AI
Linux Foundation
Cupid Chan is a seasoned professional who is well-established in the industry and is a Senior Fellow at Johns Hopkins University and the University of Maryland. His journey started as one of the key players in building a world-class BI platform. Aside from holding various technical accreditations, his credential extends into other qualifications such as PMP, Lean Six Sigma, SAFe Agilist, DevOps Practitioner, and Architect.
AVP of Health and Education
Collibra
Chris is a technology executive with more than 20 years experience in consulting, sales and information technology. He has led the implementation of numerous complex information systems projects by applying detailed technical knowledge and understanding of his customers’ business environments.
