AI Adoption in U.S. Health Care Won’t Be Easy

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The U.S. health sector has struggled to put innovations into practice. AI promises to be no different. But 3 steps can help overcome the obstacles. And the contrasting experiences of electronic health records and minimally invasive surgical removal of the gallbladder can be instructive.

. These frameworks offer design principles for trustworthy AI such as: AI systems should be safe and effective. AI algorithms should be unbiased and promote equitable healthcare outcomes. Data privacy should be maintained. Patients should be informed when an automated system is being used, and they should be able to opt out of automated systems where appropriate.

In contrast, minimally invasive surgical removal of the gallbladder — a method that transformed one of the most common surgical procedures — took justSwitchover disruptions were high for EHRs and low for the new surgical procedure. Why? Changing to a new and better surgical technique did not challenge existing power relationships and professional identities. Many surgeonsto learn the new methods. In addition, the idea of minimally invasive surgery was attractive to payers, patients, and the public at large, which can greatly ease the transition to a new technology.

 

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