Healthcare IoT Center of Excellence strategies; HIoTCoE
Discover how the Healthcare IoT Community Center of Excellence Advisory Board is leading the way towards best practice industry adoption. This session will be facilitated by Tim Foley, CEO of Healthcare Executive Network and include the following Healthcare IoT Community advisory board members:
Chris Sullivan is the Global Healthcare Practice Lead for Zebra Technologies. With an acute understanding of the needs of patients and their caregivers coupled with robust technical knowledge of healthcare operations, Chris balances the personal and professional needs of the industry to create an inspirational point of view on healthcare technology. He is an advocate for the role technology plays in improving the quality, safety, and efficiency of patient care, and for the value of learning from best practices from around the world to improve healthcare globally.
Mac Devine has 29 years of experience at IBM. During his career, he has held a wide variety of technical and business leadership roles including Chief Architect for mainframe software, Lead Solutions Architect for Networking Services, Director for Linux Development, Chief Strategy Office for IBM Cloud and currently is the VP and CTO for the Cloud Native Center of Competency for Watson Cloud Division. Mac is an accomplished speaker and author on a wide variety of topics but is most noted for his expertise in Cloud Computing and the Internet of Things. In 2006, Mac gained the designation of IBM Master Inventor and in 2009 he was appointed to IBM’s prestigious Academy of Technology. In 2016, Mac gained IBM’s highest technical recognition with his appointment as IBM Fellow.
William D. Paiva, PhD, is Executive Director of the Center for Health Systems Innovation (CHSI). The Center is focused on transforming rural and Native America health through the implementation of innovative care delivery and IT solutions. Within CHSI, the Institute for Care Delivery focuses on developing new and innovative care delivery and business models for rural and Native American markets and the Institute for Predictive Medicine is applying advanced analytics to the largest health care database which includes clinical information for over 63 million patients covering 16 years. Prior to joining Oklahoma State University, Dr. Paiva has over 20 years of experience in the venture capital industry.
Jim Sabogal is an experienced Executive with over 20 years in the Enterprise Software, Life Sciences, Healthcare, and Manufacturing industry. He leads the T-Systems North America Healthcare and Life Sciences vertical. He has been engaging with clients on DIGITAL TRANSFORMATION through numerous projects leveraging: Cloud, Big Data, and IoT. He has a background and experience in Clinical Development; Supply Chain Management; Manufacturing; CRM (Sales and Service); IoT; Big Data / Analytics; Cloud Computing; Blockchain, and Regulatory Standards. He is leading the effort for applying IoT for various businesses that use SAP, Oracle and Microsoft solutions.
Richard Montmeny is the Chief Operating Officer and Site Administrator for St. John’s Pleasant Valley Hospital in Camarillo, member of the Dignity Health Central Coast Service Area. Rich came to St John’s from Wentworth-Douglass Hospital in Dover New Hampshire. He has over 30 years’ experience in health care across several environments. His career includes private practice physical therapy owner, consulting business entrepreneur, educator and clinician in an academic medical center, and hospital operations in a community hospital. He has also lead payment innovation and care redesign efforts essential to improving population health. He currently serves as chair of the Provider Advisory Council for Gold Coast Medi Cal Health Plan and as an advisory board member Zebra Technologies Healthcare Division. Rich has a doctorate in kinesiology from the University of Connecticut. He has also completed a post-graduate program in General Management at Harvard Business School. Rich enjoys spending time with his wife of 36 years and two grown children playing golf and snowboarding.
Mark Wolff has over 25 years of experience in the health and life science industries as a scientist and analyst working in the U.S. and Europe. Mark joined SAS in 2005 and is an Advisory Industry Consultant and Chief Health and Life Science Analytics Strategist for the SAS Global IoT Division. Mark’s areas of expertise include the development and application of advanced and predictive analytics in healthcare and life sciences with a particular interest in outcomes and safety. Current work focuses on methods and application of Machine Learning to real time sensor/IoT data in support of outcomes and safety research, visualization and development of intelligent, decision support systems. Prior to joining SAS Mark held a variety of research and leadership positions in academia, government and industry. He holds a Bachelor of Science degree from Loyola College in Maryland, a Master of Science in Entomology and a Doctorate in Toxicology from North Carolina State University.
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