When AI in healthcare is discussed, the spotlight usually falls on clinical breakthroughs—earlier diagnoses, predictive analytics, and algorithm-assisted decision-making. From the outside, it looks like doctors are eager for AI to help them make better medical decisions.
The data tells a very different story.
According to the 2025 Physicians AI Report, the single most important thing physicians want from AI has nothing to do with diagnostics or clinical reasoning. Instead, 65% of physicians say their top priority is eliminating manual documentation and scribing altogether.
This finding reframes the entire AI conversation in healthcare. The biggest problem doctors want AI to solve isn’t medical uncertainty, it’s administrative overload. And nowhere is that overload felt more acutely than in clinical documentation.
Documentation has quietly become one of the most time-consuming parts of practicing medicine.
Physicians today spend hours each day typing notes, clicking through EHR fields, responding to inbox messages, and completing compliance-driven paperwork. Much of this work happens after clinic hours, contributing to burnout, dissatisfaction, and reduced time with patients.
The survey data makes this painfully clear:
In other words, doctors aren’t asking AI to help them think—they’re asking it to help them keep up.
2025_Physicians_AI_Report
This explains why some of the fastest-adopted AI tools in medicine aren’t diagnostic engines, but ambient scribes.
From a physician’s perspective, clinical decision-making is rarely the limiting factor in patient care. Training, experience, and guidelines already provide strong support.
What is limiting care is everything wrapped around medicine:
The report also highlights widespread frustration with institutional AI adoption. 81% of physicians express dissatisfaction with how their employers are implementing AI, pushing many to adopt tools on their own.
When physicians are free to choose, they overwhelmingly choose tools that reduce clerical work first.
Ambient documentation tools aim to solve the documentation problem at its source. Instead of asking physicians to document after the visit, or type during it, these tools capture clinical conversations and convert them into structured notes.
Several scribing platforms stand out in the survey and broader physician demand.
Abridge ranks among the most used AI tools in the report and is also the most requested tool physicians want access to (22.2%), signaling strong unmet demand.
Physicians are drawn to Abridge because it:
Abridge’s popularity reflects a broader truth: doctors don’t want better templates—they want less typing.
DAX Copilot, Microsoft’s ambient clinical documentation tool, appeals to physicians working in larger organizations where integration and compliance matter.
Its core value lies in passive documentation, listening during encounters and generating notes without disrupting workflow. For clinicians already embedded in enterprise ecosystems, this kind of AI offers documentation relief without introducing yet another system to manage.
Its presence among the top-used tools reinforces how universal the documentation problem has become.
While enterprise tools dominate headlines, Heidi highlights a different segment of the market: solo and small-group practices.
Physicians using Heidi value:
Its adoption shows that documentation pain isn’t limited to large systems, smaller practices often feel it even more acutely.
Although not ranked among the top 10 by usage percentage, Freed is frequently mentioned in discussions around physician burnout and documentation fatigue.
Freed positions itself squarely around the emotional and cognitive cost of charting—focusing on ease of use and rapid relief rather than deep enterprise integration. Its growing visibility aligns with survey findings that many physicians are independently seeking documentation solutions outside formal channels.
The survey data exposes a critical disconnect.
Healthcare organizations and vendors often emphasize advanced clinical AI, predictive models, risk scoring, diagnostic support. Meanwhile, physicians are asking for help with the least glamorous part of their job.
This gap explains why:
AI adoption in medicine isn’t failing, it’s simply happening from the bottom up, driven by everyday pain points rather than strategic roadmaps.
The takeaway from the data is unmistakable:
If AI can’t reduce documentation burden, physicians won’t care how advanced it is.
Doctors are not resistant to AI. They are resistant to more work. Tools that eliminate manual documentation restore time, attention, and energy—three things modern medicine desperately lacks.
Organizations that want meaningful AI adoption should start where physicians already are:
Solve that problem first, and everything else follows.
Find out what physicians think about AI. Download the 2025 AI Physicians Report.
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