4 IT Trends from the HIMSS 2019 Forecast

Healthcare is zooming forward at an accelerated rate of change, facilitated by a number of factors that make traditional healthcare models impossible to maintain.

Perhaps no one says it better than Russell Branzell, president and CEO for the College of Healthcare Information Management Executives, who recently told HealthTech that the healthcare industry at large is at a major inflection point.

“Alongside large-scale changes like payment reform, the shift toward consumerism and globalization, we’re entering a new era of technology, fourth-revolution technology, which encompasses 5G, artificial intelligence, neural networking, drones and chatbots — not to mention that mobile devices have matured to the point where there are very few, if any, communication limitations,” he says.

And these are only a few of the pressures rising up to reshape the healthcare industry. The recently released HIMSS 2019 Healthcare Trends Forecast identifies more forces at work, including “value-based care, rising costs, health system consolidation, the approaching silver tsunami, regulatory pressures, increased consumerization, major technology players entering the market and the ever-expanding potential of digital health tools,” all of which are coming together transform healthcare business models.

So what will all these changes mean for healthcare organizations looking to keep up in the coming year? The HIMSS report identifies four major changes that providers and healthcare IT teams should look out for in 2019 and beyond.

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Education at HIMSS19: Will This Be the Year of Artificial Intelligence?

Just a cursory glance at this year’s educational schedule at the HIMSS Conference, which is being held this week at the Orange County Convention Center in Orlando, makes it clear: artificial intelligence (AI) and machine learning will be major subjects for discussion at HIMSS19.

Just a few examples: Session MLAI03, “Keynote: Synergies Between Man and Machine”; Session MLAI04, “State of the Industry: Machine Learning and Artificial Intelligence in Healthcare”; Session PTS07, “Smarter Care: The AI-Driven Patient Experience”; Session MLAI06, “AI and Imaging: Your Data as a Strategic Asset”; Session MLAI11, “How AI Enabled a Community Hospital to Tackle Clinical Variation and Reduce Length-of-Stay”; Session MLAI07, “Blockchain & AI: Stronger Together”; Session MLAI19, “Integrating an End-to-End AI Solution into Clinical Workflow”; Session MLAI15, “Using AI and NLP to Alleviate Physician Burnout”; Session RCSS16, “AI, Workforce Development, and Other Key Takeaways”; Session PH01, “Artificial Intelligence & Telemedicine”; Session ISED01, “Artificial Intelligence—A Solution for Interoperability?”; Session IL42, “AI + Neurotechnology Attacking Chronic Pain Crisis”; Session 22, “Ethics of AI in Healthcare: Developing the Right Framework for Innovative Clinical Delivery”; Session IL07, “The Role of AI in the (Near) Future of Healthcare”; Session IL09, “Streamline Analytics with AI & Machine Learning”; Session 54, “Artificial Intelligence vs. COPD: The Fight for Patient Health”; Session LS12, “Using AI to Manage Clinical Variation”; Session PH13, “Patient Journey Digitalization Using IT and AI”; and Session IH54, “Predictive Clinical Surveillance with AI.”