Blueprint for VBC: Making data actionable with predictive analytics and AI

As artificial intelligence (AI) and predictive analytics continue to dominate healthcare conversations, Jason Jobes, senior vice president of Solutions at Norwood, says most organizations miss the real opportunity: turning data into action.

“It can give you the data, but it doesn’t make it information,” Jobes says. “The biggest thing organizations need to do is learn how to interpret the data they get, create information out of it, and actually use that to drive change — empower their teams all the way from the frontline individual to their executives.”

While he sees value in AI, Jobes warns that hype and high costs can obscure simpler solutions. “You can do so much with just pure numbers,” he says. “If organizations just understood their numbers, they probably could actually spend less than what they’re doing now in this AI world.”

He believes the future lies in practical applications, especially wearable technology. “I think AI and predictive analytics from a wearable standpoint in chronic care management is how practices can really succeed — driving costs down and improving care quality,” Jobes says.