Patients don't trust AI — here's how providers can change that

With many artificial intelligence algorithms now outperforming physicians and traditional medical techniques, AI has the potential to provide high-quality, cost-effective care, but many patients are still reluctant to accept automated healthcare services.

Healthcare providers can — and must — play a key role in changing patient attitudes toward AI, according to a new Harvard Business Review article. For one, since most of that reluctance stems from patients' belief that a standardized algorithm would be unable to address their unique medical needs, providers can emphasize how AI in fact offers great potential for personalized care.

For another, if an algorithm's decision is confirmed by a physician, patients will likely be more willing to accept the decision; in a study described in the HBR article, patients were found to be more comfortable following AI-generated recommendations if a physician had corroborated them.

"AI-based healthcare technologies are being developed and deployed at an impressive rate," the article's authors concluded. "But harnessing the full potential of these and other consumer-facing medical AI services will require that we first overcome patients' skepticism of having an algorithm, rather than a person, making decisions about their care."

More articles on AI:
How Facebook, NYU School of Medicine are using AI to speed MRI readings
Microsoft forms AI research partnership for precision oncology
UT Health, Cardinal Health, Amazon Web Services partner on AI medical research

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