Seize the moment and drive change for the better! COVID-19! A Catalyst for Innovation
By Sri Bharadwaj, VP Digital Innovation and Applications, Franciscan Health The Changing Healthcare Business Model: Do we really need an
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AI
How Big Data and AI are helping sift through data
By Karl Hightower, Chief Data Officer & SVP – Data Products and Services, Novant Health How do you use data
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Realizing the Potential of Artificial Intelligence at a Small Specialized Cardiovascular Hospital
By Richard S. Temple, VP/CIO, Deborah Heart and Lung Center I come to you today as the Vice President and
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Amid Pandemic, Swedish Medical Center Reaches More Patients with Advanced Telehealth
By Monique Butler, MD, MBA, CMO, Swedish Medical Center Swedish Medical Center has been proud to serve as an essential
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Transforming Health Systems in Response to COVID-19
By Jiban Khuntia, Ph.D., Associate Professor, Information Systems and Health Administration, & Rulon Stacey, Ph.D., Director of Graduate Programs, Health
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Op-Ed – Technology opportunities to scale value-based care
By Deepak Sadagopan, SVP Value-Based Care & Population Health Informatics, Providence St. Joseph Health One of the rare areas that
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IDSolutions – Taking Patient Observation to Brand New Heights
The role of patient sitters in healthcare is indispensable. They offer round-the-clock monitoring for patients that require critical care, improve
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COVID-19 and its impact on health IT resources
By Robert Rowley, MD Family Medicine Physician & CMO at Hayward Family Care The emerging COVID-19 pandemic has become a
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Ghangor Cloud – Combatting Cyberthreat With AI-enabled Advanced Technology
Tarique Mustafa, Founder, CEO & CTO, Ghangor Cloud Healthcare, in the past couple of years, has undergone a colossal transformation
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The Unmet Promise of Artificial Intelligence in Population Health
Without a foundation of consistency in the collection, a consistency in definition, and consistency in metrics, artificial intelligence within healthcare is a free-floating mass of inconsistent teaching material. No strength in computing or programming can overcome bad data. On the road to meeting the promise of AI in healthcare to improve population health, we must collectively work to ensure that our teaching data is clear, defined, and with visible outcome metrics, whether quality, efficiency, or even costs.
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