Professional Revenue Cycle Management–Where Survival Meets Innovation
By Jennifer Lange-Rebner, Director Revenue Cycle, St. Joseph Medical Center Revenue Cycle can seem like a complex, dynamic beast with
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Technology and Pharmacy: Continued expansion of pharmacist role in patient care utilizing technology
By Madeline Camejo, Pharm.D., VP of Pharmacy Services & Chief Pharmacy Officer, and Sara Panella, Pharm.D., Clinical Manager, Baptist Health
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Can Human-Centered Design Help Create Better Digital Health Solutions?
By Kathy Azeez-Narain, Chief Digital Officer, Hoag Health care institutions have traditionally focused on sick care, which means that we
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How Technology is Changing the Face of Healthcare
By Dave Smith, Associate VP of Virtual Medicine, UMass Memorial Health None of us will forget the chaos that COVID-19
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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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Leveraging innovative health technology solutions to combat social determinants of health
By Kris R. Bhambhani, MPA, Chief IT Operations Officer, Columbia University Irving Medical Center Nearly every chronic health condition has
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QT Medical-Remote 12-Lead ECG: A Replacement, Not An Alternative!
What seemed like a page out of a fantasy fiction novel or sci-fi creation is now a reality. Thanks to
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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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The Evolving Role of Analytics in Healthcare
By Christopher Hutchins, VP, Chief Data & Analytics Officer, Northwell Health Today we are experiencing unprecedented growth in the generation
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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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