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Abstract: Medical errors are the third leading cause of death in the US. Physician and nurse burnout are prevalent. Reimbursement drives what data is collected and how it is coded. Today's leading EHR systems are built around technology almost 50 years old; further, they are built with a philosophy that one size fits all. Over those five decades, technology has changed exponentially. Computational power has increased exponentially in speed and size. Storage has increased so that each year all the data that has been generated in all previous time can be easily stored. Unfortunately, the way we solve problems today cannot meet even today's needs, much less tomorrows. Unless we adopt a new approach, we are stuck in the past. Even when we address today's problems and maybe solve them, we are still in the past. This seminar will explore these challenges and explore The Galileo Project, which seeks to define the perfect health system.
Biosketch: W. Ed Hammond, PhD, is a Professor of Community and Family Medicine, Professor in the Department of Biostatistics and Translational Biomedical Informatics, and Research Professor in the Duke School of Nursing. He is the Director of the Duke Center for Health Informatics and Director of the MMCi Program in the Duke School of Medicine. Dr. Hammond has been engaged in health informatics research and practice for the past sixty years. His experience includes design and implementation of electronic health records, in standards development and implementation, in creating data elements with rich attribute sets across domains, in clinical decision support, and in enabling interoperability across heterogeneous groups. He is involved in research projects that require the sharing of data across multiple sites and deal with such issues as governance of data sharing, centralized IRBs versus multiple IRBs, data quality and data trust, establishing trust, centralized versus federated models, and query models. He is also involved in the development and use of HL7 standards FHIR®, SMART®, CDS Hooks, and Bulk FHIR.