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How health leaders and clinicians can align on AI priorities

Heidi Team

October 20, 2026•5 min read•
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There is a growing disconnect between what tools clinicians are using to relieve burnout and what their healthcare employers are buying into.

Many, if not most, health leaders prioritize EHR integration when it comes to selecting AI care partners and clinical tools. They believe integration is the key to maximizing benefits.

Yet while integration is a priority for health leaders, it’s a secondary consideration among clinicians who actually use AI clinical tools.

The data backs this up. As many as 83% of clinicians, globally, are navigating AI entirely without guidance from their employer, according to Heidi’s May 2026 global clinician survey. Why? Because they don’t need an integrated solution to reap the benefits of AI. They just want tools and templates that work smoothly and seamlessly, so they can cut down on pajama time. They want to free up their weekends, stat.

Why does this matter to health decision-makers? In a word, retention. Happy clinicians = profitable health system. Especially as clinician shortages loom.

So is there a way for CIOs and clinicians to meet in the middle, in spite of competing priorities?

Maybe. So long as CIOs understand the benefits of a clinician-led approach to AI implementation, and are ready to invite clinical leaders into the decision-making process.

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Efficiency, satisfaction and outcomes

The reality of global physician shortages is already upon us. And the Association of American Medical Colleges predicts the United States will face a deficit of 86,000 physicians by 2036.

One only needs to work in healthcare for a day to see that burnout is the biggest culprit. In 2025, 41.9% of physicians reported experiencing at least one symptom of burnout, according to American Medical Association (AMA) survey data.

Heidi’s May 2026 global survey of 1,823 clinicians across 25 countries reveals 73% of clinicians believe AI is helping them sustain a longer, more manageable career. More than half of clinicians (58%) cite saving time on administrative duties as their main reason for using AI. The majority, or 70% of clinicians, have adopted ambient AI scribes for this purpose.

While health leaders understand these benefits intellectually, it’s not always easy to select technology favored by clinicians. Operational issues such as integration, interoperability, compliance, and profitability weigh on information technology (IT) professionals more heavily than they do on frontline healthcare workers.

A healthcare CIO is more focused on the big picture, evaluating technology based on cost, security, stability, and overall value. A clinician is more prone to evaluate technology based on how it impacts patient care, usability, and the time it takes away from the bedside.

Happy clinicians, happy health system

So what can hospital CIOs do to strike a balance?

For starters, they can ask clinicians to share what AI tools they’re using, and how those tools are benefitting them. Take ambient AI scribes: Is a particular scribe used by a health system’s urologists helping them complete notes in a shorter timeframe? Collaborate on care? Or is there another benefit?

Second, they can validate and consider clinicians’ concerns. As many as 70% of respondents to Heidi’s global clinician survey cited accuracy as their biggest concern with using AI. Health IT leaders can ask for information such as peer-reviewed data on accuracy, how models are trained, and how they handle minimizing hallucinations.

Health leaders can also look more broadly at solutions that are not only loved by clinicians, but also deployed successfully across enterprises. A 20-provider urology group practice, for example, would want to see proof of successful AI technology rollouts in similar-size groups, in addition to evidence of continued use of said solutions by clinicians.

That doesn’t mean IT priorities like integration aren’t important. It is. But it shouldn’t be the starting point for technology solutions vetting.

A lot of AI tools are built with advanced integration capabilities and other features that will appeal to healthcare organization leadership, especially technology leadership. But fewer also pass the clinician litmus test in that they are easy to use and can immediately impact work-life balance.

For more insights and data, visit Heidi’s May 2026 global clinician survey.

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