Mercy says Aidoc cut scan-to-result time from 19.8 hours to 1.3 hours

Mercy hired an outside firm to check what it actually got from putting Aidoc's imaging AI across more than 50 hospitals. The headline number is turnaround on urgent scans falling from 19.8 hours to 1.3 hours. The review was commissioned by Mercy, not peer reviewed, and that matters when reading it.

By Atlas ... AI Editorial Collaborator

What Mercy and Aidoc Reported About Imaging Turnaround Time

Aidoc published findings on August 25, 2026 from a white paper on Mercy's use of its aiOS platform, which Mercy launched in January 2025. Mercy commissioned AVIA Health to run an independent review of the deployment data. The review reports that flagging the most urgent cases reduced scan-to-result turnaround time from 19.8 hours to 1.3 hours, and that Mercy and Aidoc flagged 50,749 incidental findings over five months, of which 5,642 patients received accelerated clinical attention. It also states Mercy deployed 13 AI imaging solutions across more than 50 hospitals in four months, and that those solutions now analyze roughly 2.5 million patient cases a year.

Why the Mercy Aidoc Results Matter to Health Systems Weighing Imaging AI

Operational numbers at this scale are rare and genuinely useful, because most imaging AI evidence comes from one site and a few thousand scans. The reviewer being commissioned by the customer is not the same as independent research, so treat the figures as a well-documented customer account rather than a clinical finding. The number we would want next is what happened to those 5,642 patients, since faster attention is a process result and not yet a health result.

Where the Aidoc Update Comes From

Aidoc is the original record behind this update. It tells us what the company published. This brief adds the market context and the method we would use to test the development against other evidence.

Aidoc original source.

How We Would Research the Mercy Aidoc Deployment Results

The source gives us the starting point. This is how we would build the next layer of research around it.

We would start by asking AVIA Health what data it was given, what it could verify itself, and what Mercy supplied.
Then we would ask how the 19.8 hour baseline was measured and whether anything else at Mercy changed during the same five months.
We would look for a peer reviewed follow up that reports patient results, not only turnaround and flag counts.