St. Joseph’s doctors say AI tools save time, improve care

At St. Joseph’s Health in Fayetteville, artificial intelligence is already changing the pace of a doctor’s day. Physicians say tools like OpenEvidence and DAX Copilot are taking over two of medicine’s most time-consuming tasks, finding up-to-date clinical information and drafting visit notes, so more of the encounter can stay centered on the patient instead of the keyboard.

What the tools are doing inside the exam room

OpenEvidence is being used as a medical search engine built for licensed clinicians. The system is available only to providers with a National Provider Identifier, the 10-digit ID used by healthcare professionals in the federal registry, which keeps access inside the clinical workforce rather than in the public stream of internet search. In practice, the doctors at St. Joseph’s say it can pull evidence-based guidelines, landmark studies and research summaries in seconds.

That speed matters in a place like Syracuse-area medicine, where the question is often not whether a treatment exists, but whether a doctor can confirm the best option while the patient is still in front of them. One physician described searches that once could take 45 minutes to an hour as something the software now speeds up dramatically. That changes the timing of decision-making at the point of care, when a doctor needs current guidance immediately, not after the appointment has already ended.

DAX Copilot handles a different strain on clinical time. The ambient AI tool listens to the patient visit and helps create the note from the conversation, turning spoken details into documentation instead of forcing the physician to recreate the encounter later from memory. In the doctors’ telling, that can save as much as two to three hours per day, a gain that matters in a profession where charting and follow-up messages can crowd out bedside care.

What patients may notice first

For Onondaga County families, the most immediate change is not the software itself but the way the visit can feel when the doctor is less buried in typing and searching. St. Joseph’s physicians said the goal is more time for patient questions, exam findings and follow-up care. That is the practical measure local readers care about most: whether AI gives doctors back enough time to listen, explain and decide carefully.

The system’s effect is also about pressure relief inside a large hospital network that serves Syracuse and surrounding communities. When documentation moves faster, the day’s backlog can shrink, and the doctor who is not stuck working through notes late at night may have more room to stay focused during the next appointment. The local story is less about spectacle than about whether a health system can use new tools to reduce friction without letting the pace of care slip away from the person in the room.

There is also a broader labor issue underneath the technology. A Yale School of Medicine report found that physicians spend more than half of their workdays documenting appointments in electronic health records. That burden is one reason St. Joseph’s doctors say AI tools matter in the first place. If software can reduce the hours swallowed by administrative work, then the benefit is not abstract efficiency, but a clinician who has more energy left for the next patient.

Why accuracy still depends on the physician

St. Joseph’s doctors stressed that the software is there to support clinical judgment, not replace it. That distinction is the core safeguard for families who want modern tools without giving up the human professional who carries responsibility for the final call. OpenEvidence is designed to ground answers in peer-reviewed material from sources such as NEJM, JAMA, NCCN and Cochrane, which gives clinicians a faster way to reach the evidence base without abandoning it.

The scale of the tool’s use helps explain why health systems are paying attention. OpenEvidence says it is active across more than 10,000 hospitals and medical centers nationwide. The company said in 2025 that more than 40 percent of physicians in the United States who log in use it daily to make clinical decisions at the point of care, and NBC News reported in May 2026 that nearly two-thirds of U.S. physicians use it. OpenEvidence also announced in March 2026 that it handled one million clinical consultations in a single day between verified physicians and its AI system.

That kind of reach gives context to what St. Joseph’s is adopting in Fayetteville. It is not a fringe experiment tucked away from mainstream medicine. It is part of a rapid shift in how doctors find evidence and how they structure the work of a visit, which makes oversight all the more important.

What DAX Copilot adds beyond note-taking

Microsoft describes DAX Copilot as an ambient AI tool that captures patient conversations and turns them into clinical documentation notes. In 2024, Microsoft said the tool had expanded to generate referral letters, summaries of evidence, after-visit summaries, encounter summaries and coaching, which makes it more than a transcription aid. It is being pushed as a broader documentation layer for daily practice.

That broader reach is why the workflow question matters as much as the feature list. In a real clinic, the value is not whether the software sounds advanced. The value is whether a doctor can see a patient, review the facts and leave the room with a note that reflects what actually happened without spending the rest of the afternoon rebuilding the encounter line by line.

The research behind ambient documentation suggests why systems keep testing it. A Harvard-affiliated study found ambient documentation was associated with a 21.2 percent absolute reduction in burnout prevalence at Mass General Brigham after 84 days. A related study found a 30.7 percent absolute increase in documentation-related well-being at Emory Healthcare after 60 days. Those are not guarantees for every practice, but they show why the pressure to automate paperwork is growing inside medicine.

What this means for Central New York now

For Onondaga County, the St. Joseph’s experience is a snapshot of a health system trying to use AI in a controlled, clinical way rather than as a slogan. OpenEvidence narrows access to licensed providers with a National Provider Identifier. DAX Copilot is built to draft notes from the visit itself. And the doctors using both tools say the payoff is straightforward: faster searches, less documentation drag and more room to focus on the patient.

That is the test local families will judge first. If the technology helps physicians spend less time clicking and more time caring, the benefit will show up where it matters most, in the exam room, the follow-up plan and the pace of the next appointment.