The Real Reason Physicians Burn Out: Why AI Needs to Lighten the Mental Load, Not Just the Workload

We intuitively understand that attention matters in high-stakes environments.

We don’t ask pilots to complete flight logs during turbulence. We don’t ask trial lawyers to calculate billable hours in the middle of closing arguments.

And yet modern healthcare increasingly asks clinicians to maintain deep human connection while simultaneously documenting, coding, retrieving information, navigating systems, and making high-stakes decisions in real time.

That split attention has become so normalized that we often describe the problem as “administrative burden” or “documentation fatigue.”

But those terms don’t fully capture what’s actually happening.

This is a cognitive load problem. I experienced the demands of split attention in my clinical career for a decade and a half, and watched my colleagues do the same.

After more than 15 years of clinical practice (going all the way back to paper charts!) I transitioned to the world of healthtech four years ago. My passion since then has been to find solutions for my colleagues who are still practicing medicine. And my goal is to keep the practice of medicine sustainable for the new generation of clinicians. I’ve seen a lot of changes in healthcare technology over my career. Ambient Clinical Intelligence is one of the few directly clinician-facing tools that actually fulfills the promise of making healthcare better for clinicians and patients.

Lifting the cognitive burden and measuring the impact

New survey data from athenahealth’s Ambient Notes customers offers a revealing look at what happens when clinicians add Ambient Clinical Intelligence in their workflow, and the cognitive burden finally begins to lift.

Clinicians using athenahealth’s Ambient Notes reported [1]:

Those are meaningful numbers. But the real story sits underneath them.

For years, healthcare has treated clinician burnout primarily as a time problem. Too many clicks. Too much charting. Too much after-hours work.

But increasingly, research suggests something deeper is happening.

The average clinician now spends nearly as much time interacting with the EHR as they do interacting with patients. Studies have shown clinicians can spend more than five hours per day inside the EHR, often followed by additional after-hours “pajama time” spent finishing documentation and inbox tasks.

At the same time, clinicians are navigating constant interruptions, fragmented workflows, and enormous volumes of information. One AHRQ-cited study found that even a single additional interruption increased diagnostic error likelihood among radiology residents by 12% [2].

That matters because the human brain is not built for infinite parallel processing.

Working memory has limits. Attention has limits. Clinical reasoning has limits.

Yet healthcare workflows increasingly assume clinicians can maintain patient connection, document in real time, manage coding requirements, retrieve historical context, process alerts, and navigate fragmented systems, all while making high-stakes decisions without any degradation in judgment or care.

Eventually, something gives.

Sometimes it’s efficiency.Sometimes it’s emotional energy.Sometimes it’s the patient interaction itself.

That’s why one of the most important findings in this survey wasn’t about speed. It was about attention.

Clinicians repeatedly described feeling more present during visits. Patients noticed too.

Historically, richer documentation usually came at the expense of clinician attention. More detailed notes meant more cognitive effort, more after-hours work, and more time spent interacting with the computer instead of the person in front of them.

What these clinicians are describing is the removal of that tradeoff.

Not just faster documentation.Not just automation.

Cognitive relief.

Unlocking the full potential of Ambient Clinical Intelligence

What's especially interesting is how quickly clinician expectations evolve once some of their cognitive burden begins to lift.

The requests captured in this survey move well beyond note creation. Clinicians are asking for suggested orders, ICD-10 support, intelligent template completion, speaker recognition, and deeper EHR automation. They want contextual assistance that anticipates their next step, not just a tool that records what already happened.

What those responses reveal is not dissatisfaction. They reflect growing confidence in what Ambient Clinical Intelligence can become.

Suki has always believed clinicians should be able to access AI assistance wherever and however they work, across devices, specialties, and clinical settings. That belief led to a deeper partnership with athenahealth through Ambient Notes, bringing Suki's capabilities directly into existing clinical workflows rather than asking clinicians to navigate yet another system.

This survey reinforces what we have consistently seen across clinicians using Suki: when technology reduces cognitive burden, clinicians regain attention, presence, and mental space to focus more fully on the person in front of them.

At the same time, the survey responses offer a glimpse into where healthcare AI is headed next.

Clinicians are increasingly looking for AI not only to document care, but to help orchestrate the operational complexity surrounding care itself:

• staging orders
• supporting coding workflows
• integrating contextual information
• reducing navigation burden
• streamlining fragmented tasks

Many of these capabilities are already being actively developed alongside athenahealth as part of the ongoing Ambient Notes roadmap.

And the speed at which these innovations continue to evolve is rooted in something important: Suki’s deep, firsthand experience supporting athenahealth customers through its bidirectionally integrated Suki for Clinicians platform across more than 575 healthcare organizations.

That experience allows Suki to pilot and refine advanced workflows such as order staging, E/M support, and contextual clinical assistance in real-world environments, helping accelerate innovation across the broader partnership ecosystem.

Looking ahead

The larger opportunity isn’t simply reducing documentation time.

It’s reducing the number of mental transitions, fragmented workflows, and operational tasks clinicians must continuously manage throughout the day.

That’s the shift clinicians in this survey are beginning to describe.

Not an AI that simply records the visit.

An intelligence layer that listens, understands, and helps carry more of the operational complexity surrounding care.

The future of healthcare AI will not be defined by who generates notes the fastest.

It will be defined by who best reduces cognitive burden while preserving the humanity of care.

The clinicians in this survey are not describing a novelty. They’re describing a different experience of practicing medicine.

One where attention returns to the room.One where documentation no longer competes with presence.One where technology absorbs more of the system burden so clinicians can spend more of their cognitive energy on clinical judgment, empathy, and care itself.

That’s a much bigger shift than ambient documentation.

It may be the beginning of cognitive relief as a new design principle for healthcare technology itself.

Sources
1. Based on an athenahealth Ambient Notes customer survey, Feb–Mar 2026 (n=153)

2. Managing Interruptions to Improve Diagnostic Decision-Making: Strategies and Recommended Research Agenda