KLAS: 53% of healthcare providers have no plans for imaging AI

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 - Enterprise Imaging

There’s been plenty of talk in medical imaging spaces about artificial intelligence (AI)—and its potential to upend diagnosis, treatment and overall care. A recent study talked to 81 healthcare organizations about early usage of AI and plans for the future.

KLAS, a healthcare IT research firm, released its “Artificial Intelligence in Imaging 2018: Early Adopters Speak Out” Feb. 27, a broad view of the AI market in medical imaging.

“Until recently, talk about AI in imaging has been more common than actual adoption, but progressive provider organizations and their vendor partners have begun to roll out the technology or are making plans to do so,” wrote coauthors Monique Rasband and Emily Paxman with KLAS.

With responses primarily from large integrated delivery networks, key findings include:

  • 43 of 81 respondents (53 percent) have no current plans to use AI in imaging, while 24 (30 percent) have/making plans and 14 (17 percent) are live/piloting AI.
  • Of those currently planning to use AI, 21 percent expected to go live in less than a year, and 41 percent were planning between one or two years. Seventeen percent expected to adoption to take more than five years.
  • Of 14 current adopters, four rated adoption plans as “high” and seven said “moderate.”

“Over the last 20 years, KLAS has watched many emerging spaces gain momentum only for vendors to fail to deliver on the market’s expectations,” the authors wrote. “Where there is success, there are typically several key vendor attributes present.

The report made four recommendations for providers who are looking for a vendor to implement AI in imaging services:

  1. Clear expectations: A vendor should set clear expectations and discuss when outcomes will be achieved.
  2. Strategic relationships: Vendors should provide dedicated account management and share use cases.
  3. Focus on training: Vendors should remove financial barriers to training and pair end-users with qualified trainers.
  4. Strong data governance: Vendors should encourage customers to tackle governance and provide suggestions to facilitate such efforts.