John D. Halamka, MD, MS is Chief Information Officer of the Beth Israel Deaconess Medical Center, Chief Information Officer and Dean for Technology at Harvard Medical School, Chairman of the New England Health Electronic Data Interchange Network (NEHEN), CEO of MA-SHARE (the Regional Health Information Organization), Chair of the US Healthcare Information Technology Standards Panel (HITSP), and a practicing Emergency Physician.
Dr. Halamka completed his undergraduate studies at Stanford University where he received a degree in Medical Microbiology and a degree in Public Policy with a focus on technology issues. While at Stanford he served as research assistant to Dr. Edward Teller, Dr. Milton Friedman, and presidential candidate John B. Anderson. He authored three books on technology related issues and formed a software development firm, Ibis Research Labs, Inc. Additionally, he served as a columnist for Infoworld, technical editor of Computer Language Magazine and technology consultant to several startup companies.
His research includes security / confidentiality issues, scalability issues, and implementation of standards for exchange of administrative and clinical information. As a clinician as well as researcher, Dr. Halamka uses these tools to improve the care of the patients he treats in the Beth Israel Deaconess Emergency Department. He is also an active teacher, lecturing on both medical and technology topics to the students, residents and faculty of Harvard and MIT.
As Chairman of NEHEN he oversees the administrative data exchange among the payors and providers in Massachusetts. As Chief Exchange Officer of MA-SHARE he oversees the Regional Healthcare Information Organization (RHIO), which develops clinical data exchange efforts in Massachusetts. As Chair of HITSP he coordinates the process of electronic standards harmonization among stakeholders nationwide.
CIO John Halamka, MD, and his team at Beth Israel Deaconess System use big data and machine learning to create real-world applications that improve clinical decision-making, control costs, and drive efficiencies.
In this session, Dr. Halamka and colleague Paul Cerrato (they collaborated on the book Realizing the Promise of Precision Medicine) cut through the machine-learning hype and present evidence of what it can, and can’t do. Along the way, Dr. Halamka will discuss some of the dozen or so machine-learning projects underway at Beth Israel. These include managing ICU census, decreasing specialty appointment no-shows, and forwarding patient-consent forms to the right OR staffers.
- Machine learning may be at the top of the Gartner Hype Cycle, but it’s real, impactful, and can be implemented today.
- Machine learn will augment physicians, not replace them.
- Machine learning and data analytics can personalize patient care.