Have you ever watched a physician try to maintain eye contact while also tracking the clock, the screen, and an overflowing inbox? That tension has become a defining feature of modern healthcare. The exam room—once a place for focused conversation—is now one of the most attention-fractured professional environments.
At the same time, we’re living through an unprecedented surge of excitement about artificial intelligence in healthcare. New capabilities arrive almost weekly, promising speed and scale. But amid the hype, we are still tackling the wrong problem. Healthcare’s central challenge is not a lack of AI capabilities. It is a lack of attention.
When I spend time with physicians and care teams, their underlying needs are clear. They aren’t looking for more features; they are looking for more time. Time to think clearly, time to listen closely, and time to connect with the patient in front of them. Instead, systems that demand constant interaction—documentation that never ends, messages that keep coming, and tools that don’t connect cleanly dominate their days.
THE ATTENTION CRISIS
This is the real crisis at the point of care: attention itself has become scarce. And for the past decade, healthcare technology has largely made that problem worse, not better. Built on the logic of the attention economy—more alerts, more dashboards, more signals—it competes with clinicians’ focus at precisely the moments when presence matters most. To make a meaningful difference in healthcare, AI must break that pattern.
That’s why the success of AI in ambulatory care won’t be defined by what it adds—more features, more automation, and more information layered onto already complex systems. It will be defined by what it removes—friction, complexity, and unnecessary cognitive load—and what it gives back: time, focus, and space for human connection.
When AI reduces documentation and administrative burdens, something subtle but important happens. The pace of the visit changes. Conversations become less rushed. Clinicians stop toggling between the patient and the record. They listen more closely, ask better questions, and stay present throughout the encounter instead of racing to catch up afterward.
Data backs that experience. In the athenaInstitute’s AI on the Frontlines of Care study, 63% of clinicians said AI is lowering the burden associated with documentation, and 69% see AI as a way to focus more on patient relationships and less on the electronic health record (EHR). The takeaway is not that AI is perfect. Clinicians gain more room to practice medicine as intended when the right information appears at the right moment.
CARE DEPENDS ON RELATIONSHIPS
People often misunderstand AI’s role in healthcare. Availability and adoption metrics are easy to measure, but they miss the deeper value. Care depends on relationships, not just transactions. Patients want to feel heard and understood. Clinicians want the time and space to practice with clarity. Technology that optimizes only for throughput undermines both.
AI can help close that gap by handling the work around the visit. Tools that synthesize histories, surface clinically relevant information, or automate documentation help clinicians stay grounded in the conversation rather than getting pulled back into the system midstream.
Just as important, clinicians are clear about where AI doesn’t belong. Our research shows they overwhelmingly want AI to support information retrieval and pattern recognition—not make decisions on their behalf. They want a second set of eyes, not a replacement for clinical judgment. The priority is preserving the parts of care that depend on human judgment, empathy, and trust.
That distinction matters because presence has real consequences. It shapes trust, influences adherence, affects patient experience and outcomes. It also determines whether clinicians feel sustained—or depleted—by the work they do every day.
FINAL THOUGHTS
So, here’s the standard AI in healthcare should be held to: If it doesn’t reduce burden for care teams and make the patient experience smoother, it isn’t delivering on its promise. For too long, healthcare technology has been rewarded for adding process instead of removing friction, and both clinicians and patients have paid the price.
The next era demands a higher bar. AI must fit naturally into the flow of care, earn clinicians’ trust, and remove friction from the moments that matter most. When it is built on connected, reliable data, its value will not be measured by how much more activity it creates, but by whether it helps make care more focused, more human, and more effective for physicians and patients alike.
Stacy Simpson is the chief marketing officer at athenahealth and co-chair of the athenaInstitute.