Neurology Center of New England Reports 2-4 Hours Daily Documentation Savings With AI Scribe

The Neurology Center of New England, a Massachusetts neurological care provider that manages more than 2,700 patients each month, reported saving between two and four hours per day on clinical documentation after deploying the Sunoh.ai medical scribe within its eClinicalWorks electronic health record (EHR) system.

The announcement came from eClinicalWorks on June 4 and highlights how specialty practices are increasingly using ambient AI tools to reduce documentation workloads and complete notes during patient encounters.

“I spend more time with patients and less time typing,” Dr. Maria Bartkus, Neuromuscular Specialist at the Neurology Center of New England, said in a statement. “Now there is more eye contact with patients, and I feel less stressed. I complete my notes almost entirely during the encounter.”

According to the company, the AI tool captures patient-provider conversations and generates clinical documentation within the EHR. Bartkus said the system records information discussed during appointments, including MRI findings, laboratory results, and medications.

AI Documentation Expands Into Specialty Care

The deployment adds to growing adoption of ambient AI documentation systems across healthcare organizations. Recent implementations have focused on reducing administrative work that often extends beyond clinic hours. Similar efforts can be seen as ambient AI documentation systems gain wider adoption across health systems.

Neurology practices present a particularly demanding documentation environment. Providers often manage chronic neurological conditions that require detailed patient histories, imaging reviews, medication adjustments, and long-term disease monitoring.

Bartkus said the technology has reduced after-hours charting responsibilities.

“Everything discussed during the encounter is captured, including MRI findings, labs, and medications. I’m no longer bringing work home, which has changed my personal life,” she said.

The Neurology Center of New England specializes in conditions including multiple sclerosis, Parkinson’s disease, migraine disorders, epilepsy, neuropathy, dementia, and neuromuscular diseases.

Multilingual Documentation and Workflow Integration

The organization also cited multilingual documentation capabilities as a benefit of the deployment. According to eClinicalWorks, Sunoh.ai can capture Spanish-language conversations and automatically generate English clinical notes without requiring providers to manually switch settings.

“I speak Spanish, and I have Spanish-speaking patients, and Sunoh.ai automatically converts everything into English for my notes,” Bartkus said. “I was very impressed—it recognized everything without me needing to change any settings.”

Multilingual documentation has become an increasingly important capability as healthcare organizations deploy ambient AI tools that support clinical note generation for diverse patient populations.

Sunoh.ai operates directly within the eClinicalWorks platform rather than as a separate application. The integration places AI-powered documentation inside the workflow clinicians already use for patient records and clinical management, similar to broader efforts that are bringing AI-powered documentation into core EHR workflows.

“Neurology Center of New England’s success demonstrates how AI-integrated solutions can transform practice workflows,” Girish Navani, CEO and Co-founder of eClinicalWorks, said in a statement. “Sunoh.ai assists providers nationwide to reduce documentation burden, improve efficiency, and strengthen patient engagement.”