Managed Healthcare Executive July 7, 2025
Healthcare organizations are finding that their data foundations are not as solid as they expected.
When healthcare organizations call Brian Laberge for help deploying artificial intelligence (AI) applications, they usually have some awareness that their data has problems.
“It’s not always about inaccurate AI outputs,” says Laberge, a solution engineer at the consultancy Wolters Kluwer Health. “Sometimes the first signs are subtle: inconsistent reports, unexplained abnormalities or friction in workflow.”
Often, those seemingly minor glitches are signs of a much bigger problem. “It’s only when teams begin integrating data across systems or preparing it for AI that they encounter what I call the ‘subfloor moment,’ ” Laberge says. “You think you’re just replacing the carpet, but then discover the subfloor...
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