eClinicalWorks and Sunoh.ai Help DFW Pulmonary and Sleep Clinic Save Two to Three Hours Daily and Improve Patient Engagement

By: October 1, 2026 at 8:59

WESTBOROUGH, Mass. — October 1, 2026 — eClinicalWorks®, one of the largest ambulatory cloud EHRs, announced that DFW Pulmonary and Sleep Clinic a Texas-based pulmonary specialty practice, is utilizing healow® patient engagement solutions and Sunoh.ai, the AI medical scribe that seamlessly integrated with the eClinicalWorks EHR. The practice reports Sunoh.ai helps providers save two to three hours daily, complete clinical notes same day, and reduce after-hours charting which further helps accelerate orders and billing workflows. While solutions like healow Open Access help reduce no-shows.
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eClinicalWorks and Sunoh.ai Assist Neurology Center of New England Save 2-4 Hours Daily and Significantly Improve Providers’ Work-Life Balance

By: June 4, 2026 at 9:58

WESTBOROUGH, Mass. — June 4, 2026 — eClinicalWorks®, one of the largest ambulatory cloud EHRs, announced that Neurology Center of New England the largest neurological care center in Massachusetts, is successfully utilizing Sunoh.ai the AI-powered medical scribe, to achieve daily two to four hours of time-savings on documentation and enhance patient engagement. Integrated within the eClinicalWorks EHR, Sunoh.ai enables providers to complete notes during patient encounters, significantly improving work-life balance.
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eClinicalWorks and Sunoh.ai Empower Family Health Centers, 76-Provider FQHC, to Accelerate Efficiency and Improve Documentation Quality

By: May 7, 2026 at 8:54

eClinicalWorks®, one of the largest ambulatory cloud EHRs, announced that Family Health Centers (FHC) a Federally Qualified Health Center (FQHC) in Louisville, Kentucky, is using Sunoh.ai the AI-powered medical scribe, to streamline documentation and help its providers deliver high-quality patient care. The seamless integration with the eClinicalWorks EHR, which enables providers to improve patient interactions, simplify workflows, and boost overall efficiency, was a significant factor in FHC's decision to implement Sunoh.ai.
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