Part 1: How AI and Data Can Streamline Healthcare

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AI and Data Science
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Data and Analytics

In the first ever episode of Owning the Future of Healthcare, a Health Catalyst podcast, Chief Analytics and Data Science Officer, Senior Vice President, and General Manager of the Platform Business Unit at Health Catalyst, Jason Jones, tells listeners and viewers the critical differences between augmented and artificial intelligence (AI). He expounds on the use of AI in healthcare, discussing the current role of AI and machine learning and how healthcare organizations can leverage AI to streamline healthcare processes, alleviate provider burnout, and prioritize patients above all else.

Noteworthy Quotes from Jones

  • “We use ‘augmented intelligence,’ not ‘artificial’, and it’s purposeful.”
  • “Many organizations build a technically terrific predictive or prescriptive model, and it doesn’t get used because health systems didn’t consider the change management aspects.”
  • “We have the ability to perfect the use of AI today, and where we will use AI going forward.”
  • “If we apply AI from a leadership perspective, we can really understand our opportunities for improvement.”

Tune in to Hear Jones Answer These Questions

“We use ‘augmented intelligence,’ not ‘artificial’, and it’s purposeful.”
“If we apply AI from a leadership perspective, we can really understand our opportunities for improvement.”
“Many organizations build a technically terrific predictive or prescriptive model, and it doesn’t get used because health systems didn’t consider the change management aspects.”
“We have the ability to perfect the use of AI today, and where we will use AI going forward.”