Health systems serving rural and mixed-population regions face a familiar tension: increasing demand for care alongside persistent staffing shortages and rising documentation burden. According to a 2024 report from the WWAMI Rural Health Research Center at the University of Washington School of Medicine, over 60% of primary care, mental health, and dental professional shortage areas nationwide are located in rural communities, reflecting longstanding workforce imbalances that constrain access to care.
For MaineGeneral Health (MGH), one of the largest nonprofit health systems in Maine serving the Kennebec Valley, this tension prompted a focused search for technology that could deliver measurable impact for clinicians, without disrupting existing workflows.
In 2024, MGH began evaluating ambient AI medical scribe solutions with a clear goal: improve physician workflows and reduce documentation burden, particularly for medical staff. While several options were initially recommended through peer CIO networks, one option entered the evaluation through clinician advocacy. A physician, who’d been using it since March 2024, strongly recommended that leadership take a closer look. That recommendation proved pivotal.
MGH’s CIO, Mark St. John, recalls that the platform stood out not because of marketing visibility, but because of adoption and engagement outcomes observed at peer organizations. “[It] was a platform that could deliver higher engagement and adoption,” he noted, adding that after speaking with another large health system already using it, MGH decided to move forward.
A Deliberate, Clinician-Led Rollout
MGH initiated the first phase of its ambient AI implementation in June 2025. The rollout was intentionally limited at the outset, offered initially to 38 medical staff members. Due to clinician demand, that number increased to 51 participants. Of those participants, 98% became active users—a level of adoption that is notable not just for its scale, but for its speed.
Within this initial phase, clinicians generated 5,928 recording sessions and 11,812 clinical notes and documents, demonstrating early and sustained engagement with the technology. Importantly, this adoption occurred without changes to existing EHR workflows. The MGH IT team reported that onboarding and implementation proceeded smoothly, reinforcing the value of a light-lift deployment model in complex clinical environments
Feedback from both clinicians and operational leaders during this phase was uniformly positive. Clinicians reported meaningful relief from documentation burden, with 82% agreeing the solution reduced mental load, supporting greater presence with patients and dependable note quality, even in busy or noisy settings. For IT leaders, the project represented something rarer still: a technology initiative that delivered clear, human-centered value. As Project Manager Gwendolyn Blue reflected, “It is not often that people in IT get to be part of a project that so positively impacts people’s lives.”
Scaling What Works
Based on the success of the first phase, MGH initiated a second phase expansion to an additional 225 medical staff, beginning September 1, 2025. This expansion reflects not just confidence in the technology, but confidence in the implementation model. This emphasized structured onboarding, live clinician education, ongoing Q&A, specialty-aware templates, and hands-on support.
MGH’s experience aligns with outcomes observed in similar organizations. The vendor, Heidi, reports an average of five minutes saved per provider visit, translating to nearly two hours saved per provider per day, or the equivalent of two to four additional appointments daily. While MGH’s long-term quantitative outcomes are still being measured, they have recognized that even modest per-visit efficiencies can meaningfully increase system-wide capacity and directly impact financial sustainability.
Choosing a Long-Term Partner
Ultimately, MGH selected Heidi not solely for efficiency gains, but for strategic alignment. Leadership cited the clinician-first design, early specialty depth beginning in dermatology, and demonstrated ability to support multi-specialty workflows. Equally important was the outcome-driven philosophy—prioritizing clinician experience and workflow over rigid integration checklists, an approach associated with adoption rates of 60–80% in other environments.
Implementation partnership also played a decisive role. White-glove service, a clear rollout playbook, and a collaborative approach also positioned the technology as a long-term foundation rather than a point solution.
As MGH looks ahead, they are viewing ambient AI, not as a short-term fix, but as infrastructure for resilience. “We see Heidi as a partner helping us deliver measurable transformation to our organization,” St. John shared, “making us more resilient as we face the many challenges in our industry”
For health systems navigating similar pressures, MaineGeneral’s early experience offers a grounded lesson: meaningful transformation begins with clinician trust, thoughtful implementation, and technology that quietly earns its place in the care experience, one visit at a time.
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