When deciding whether to adopt AI tools, it’s crucial that healthcare organizations consider governance, clinician trust and overall costs, industry experts said at a Healthcare Dive virtual event.

Editor’s note: This article includes insights from Healthcare Dive’s recent live event, “AI in Healthcare.” You can watch the full event here.

Although healthcare embraced artificial intelligence-backed tools when they hit the scene four years ago, actually implementing the technology among payers and providers has come with its own set of challenges.

The tools — which promise to alleviate clinician burnout, streamline claims processing for payers, help with administrative tasks and more — are expensive. They also raise ethical considerations. What happens if an AI tool makes an error? And what happens if that error is catastrophic for patients?

Healthcare organizations, including payers and providers, need to consider multiple fronts when looking at AI investments, including clinician trust, governance and costs, experts said during panels hosted by Healthcare Dive on Nov. 4.

Here are four big considerations healthcare organizations should consider when adopting AI tools.

Clinician buy-in for AI tools is one of the largest bottlenecks toward the technology’s adoption in the industry. As hospitals and health systems look to expand their use of AI tools, clinicians have remained skeptical about the technology: About 41% of 1,000 physicians surveyed by the American Medical Association in 2023 said they were equally excited and concerned about healthcare AI tools.

AI tools are accepted the most among clinicians when they’re developed by clinicians themselves, according to Micki Tripathi, chief artificial intelligence implementation officer at the Mayo Clinic.

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