MoxieLink™: Putting Medical Expertise Behind Ambient AI

For generations of doctors, taking notes has been part of practicing medicine. Many say it’s exhausting and, sadly, leads to physician burnout. But today, thanks to advances in technology, artificial intelligence (AI) is doing the note-taking and giving doctors more time to focus on their patients. And it’s changing the way doctors work.

Known as ambient AI, the new technology listens to a clinical conversation and transforms it into a structured draft for the doctor to review later. The goal is simple: reduce the administrative burden away from the clinicians so they can focus all of their attention on their patients.“Implemented properly, AI gives doctors more time to focus on what matters most: the patient,” says Gustavo Ferrer, MD, founder and CEO of The Moxie Health Group.

A 2026 JAMA study, involving 8,581 clinicians across five United States health systems, found that AI scribe use was associated with an average reduction of 16 minutes in documentation time for every eight hours of scheduled patient care. Other studies, reviewed by researchers at The Moxie Health Group, have shown similar benefits, plus reduced cognitive load and lower rates of clinician burnout.

“Our review suggests that ambient AI works especially well in reducing the burden of repetitive tasks, such as listening to a clinical conversation and turning it into a structured draft,” says César U. Alas, MD, director of research and development at The Moxie Health Group. “In some studies, this has resulted in less time spent on documentation and a better experience for healthcare professionals, including reduced burnout.” Why Ambient AI Still Needs Medical Expertise

As ambient AI becomes more common, healthcare systems are also learning more about its limitations.

The Guardian recently reported that Healthwatch England had documented cases of AI scribes incorrectly recording medications, diagnoses and treatment information. But the technology also earned high marks from doctors: more than half of the 1,003 UK physicians surveyed said they believed ambient AI produced more accurate records than they did on their own.

For Dr. Alas, those two realities illustrate why AI can be enormously useful without replacing medical expertise.

“AI does not understand a clinical encounter in the same way a healthcare professional does,” Dr. Alas explains. “It can organize information, but it does not always recognize which details are clinically relevant, which ones need more context, or which ones could affect a medical decision.” That is where the human element becomes critical. 

“AI can create a first draft, but a medical professional must turn it into a clinically reliable document,” Dr. Alas says. “For us, the most important distinction is that these tools should support clinical reasoning, not replace it.” How MoxieLink Goes Beyond Ambient AI

Built for post-acute care, MoxieLink is a HIPAA-compliant digital platform bringing patient information and clinical workflows together in one system. Its capabilities include AI-powered transcription and medical scribing, analytics, automated coding validation, care coordination and a progress-note system incorporating both human and AI quality review.

Rather than asking what AI can do instead of healthcare professionals, MoxieLink is being developed around what they can accomplish together.

“AI is incredibly powerful, but technology alone doesn't practice medicine,” says Dr. Ferrer, MD.

“We built MoxieLink around the people who understand medicine. Our doctors bring the clinical experience, judgment and context that AI cannot, and the technology gives them the ability to work faster and smarter. That's the difference.”

“From a scientific perspective, this model is important because it recognizes that AI and healthcare professionals bring different but complementary strengths,” Dr. Alas says. “AI offers speed, consistency, and the ability to process information, while healthcare professionals provide clinical interpretation, judgment, responsibility, and, most importantly, the experience and intuition that AI cannot provide.”

MoxieLink's model goes beyond simply adding a human check at the end of the process.

“The potential value of this model is not simply adding human review at the end, but incorporating clinical expertise throughout the process of producing and validating the documentation,” Dr. Alas says.

The company's physicians and medical professionals continue to adapt and improve the model based on the realities of clinical care.

“This is exactly what we do at MoxieLink,” Dr. Alas says. “Through trial and error, we continue adapting and improving our model.”

MoxieLink's Human Layer

Nestor Banegas, MD, who leads global operations for Moxie Health Group, sees an important distinction between capturing medical information and understanding what that information means in the context of a patient's care.

“Ambient AI can capture and structure a conversation, but it does not truly understand the resident, the facility, or the operational realities surrounding the encounter,” Dr. Banegas says. “It cannot independently determine whether the assessment was complete, whether a statement conflicts with the medical record, whether a missing detail is clinically important, or whether the follow-up was actually completed.”

That's where MoxieLink's human expertise comes in.

“The human layer adds judgment, accountability, and appropriate doubt,” Banegas says. “Qualified professionals can recognize when something does not fit, verify the information against the record, clarify uncertainty, and escalate concerns when necessary.”

For MoxieLink, faster documentation is only part of the goal.

“We are not simply trying to produce notes faster,” Banegas says. “We are building a system that helps the right people receive the right context at the right moment and then ensures that a responsible human remains involved in deciding, acting, and following up.”

Ultimately, Dr. Alas says, ambient AI works best when technology and medical expertise work together.

“Medical judgment must always come before any interpretation made by AI,” he says.

And Banegas sees that combination as a way to return something increasingly valuable to healthcare professionals: time with their patients.

“AI should not make healthcare feel less human,” he says.

“If it is implemented correctly, it should reduce the administrative and cognitive burden that pulls clinicians away from their patients, giving them more time and clarity to be present.”