The importance of collaborative data sharing to enable AI-driven healthcare

As AI transitions from an innovative disruptor to an indispensable tool in healthcare, stakeholders need to align on strategies to maximize its effectiveness. This starts with a commitment to data sharing and interoperability across the healthcare ecosystem. In an article published in HIT Consultant, Cotiviti executive vice president and administrative officer Jordan Bazinsky outlines three ways collaborative data sharing will drive AI’s accelerated presence in healthcare in 2020.

“In the past, payers and providers viewed sharing data between each other with great skepticism, concerned that this posed a competitive threat. But in today’s AI-driven world, providers and health plans simply cannot optimize their business without information from the other party, so data sharing thus presents a strong return on investment."

Read his article to learn how data sharing and AI impact:

  • Risk stratification and imminent health risk prediction
  • Fraud, waste, and abuse prevention by alerting payers and providers to new schemes
  • Payment integrity by positioning health plans to move from retrospective to prospective review

Read the article




Tom Betar
As corporate communications specialist, Tom engages with Cotiviti’s audience through social media and other digital platforms. He has previous experience writing about healthcare and technology and has produced award-winning articles for the Deseret News in Salt Lake City, Utah. Tom studied journalism and holds a bachelor’s degree in mass communications from the University of Utah.

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