Dr. Ian Chuang is the Chief Medical Officer (CMO) for Elsevier overseeing Europe, Middle East, Africa, Latin America and Asia Pacific. Elsevier is an information analytics business within the UK-based, FTSE-listed RELX group. Dr. Chuang’s focus at Elsevier is collaborating with healthcare leaders to improve Healthcare Information Technology (HCIT) adoption, especially as it relates to clinical decision support and improving health system decisions and processes of care to improve outcomes.
Dr. Chuang’s experience spans the entire care continuum, including applied healthcare informatics, controlled medical terminology, knowledge representation, clinical decision support (CDS) and analytics. Prior to joining Elsevier, he has led roles at both strategic level management of healthcare systems and physician leadership, and hands-on implementation of process optimization at the point-of-care.
Dr. Chuang holds a doctor of medicine degree from the University of Toronto and a Master’s degree in administrative medicine from University of Wisconsin. He is a Senior Fellow at the Institute of Healthcare Design Thinking and holds an adjunct assistant professor position in the Department of Biomedical and Health Informatics at the University of Missouri. He has participated in many healthcare data standards organizations, including the National Quality Forum Health Information Technology Advisory Committee (HITAC).
Dr. Richard Loomis is the Chief Informatics Officer of Elsevier’s Clinical Solutions division, leading the development of comprehensive clinical decision support (CDS) and pathways that span the patient journey. He is passionate about leveraging technology to increase the value of healthcare delivery and integrating clinical research with care delivery.
Dr. Loomis completed a fellowship in biomedical informatics at Harvard Medical School and trained in anesthesiology at Beth Israel Deaconess Medical Center. He received his medical degree from the University of Michigan and Bachelor of Science degree from Cornell University. He has served as vice chair of the HIMSS EHR Association, the industry trade association for EHR companies, participated in policy and regulatory initiatives in interoperability and public health, and is actively involved as a thought leader in the industry.
AI and machine learning can transform data from health records — "real world data" — into "real world evidence" that will bolster the medical community’s collective knowledge exponentially. Yet, clinical decision support platforms are the only way all this added practice-based knowledge can actually be used to improve overall care.