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[ARTICLE · art-16359] src=marginalrevolution.com pub= topic=artificial-intelligence verified=true sentiment=↑ positive

Doc in a Box

A pilot program in Utah found that an AI system handling prescription refills agreed with at least one of two physicians in 97% of cases where it recommended renewal. In the 28% of cases where the AI escalated to a physician without recommending renewal, 69% of physician reviews agreed the escalation was appropriate, while 31% deemed it overly cautious. The program's operators argue that as AI costs drop, safely automating even a fraction of care could transform an unsolvable healthcare supply problem into a solvable engineering challenge.

read1 min publishedMay 28, 2026

The first review of the pilot for AI prescriptions refills in Utah is out and it looks very reasonable. In the 72% of cases where the AI recommend a refill at least one of two physicians agreed in 97% of cases.

In the 28% of Cases Where the AI Escalated to a Physician Without Recommending Renewal

o When the AI declined to recommend renewal without further information, a human telehealth appointment was arranged.

▪ For these patients, 69% of physician reviews agreed that the escalation was appropriate, and more information was needed to authorize a renewal.

▪ In the other 31% of cases, the physician determined the escalation was overly cautious.

● For a new system like this, overcaution is appropriate and welcome. In the long term, reducing overcaution without compromising safety would improve patient access to care, but we aren’t rushing to see that happen.

The founders of Doctronic, the firm running the AI doc, write: The cost of compute drops roughly 10x every five years. At the same time, the demand for care continues to rise. An AI consultation that costs a few dollars today will cost pennies in a few years. So if AI can safely handle even a fraction of care, we’ve turned an unsolvable supply problem into an engineering problem. And engineering problems have solutions.

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