32-Provider FQHC to Enhance Workflows with eClinicalWorks and Sunoh.ai



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Stone Mountain Health Services selects the AI-powered medical scribe to reduce physician burnout WESTBOROUGH, Mass. — May 30, 2024 — eClinicalWorks®, the largest ambulatory cloud EHR, today announced that Virginia-based Stone Mountain Health Services selected Sunoh.ai, an AI-powered medical scribe, to optimize clinical workflows, enhance practice efficiency, and improve patient care. Last year, eClinicalWorks integrated a series of transformative AI features into its EHR system, including the integration with Sunoh.ai. Stone Mountain Health Services’ mission is to provide quality primary health care that is accessible, affordable, and community-based to Southwestern […]
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PriMALE Health Rolls Out eClinicalWorks Cloud EHR, Sunoh.ai Medical AI Scribe, and healow Patient Engagement Solutions



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Men’s health and wellness clinic to leverage AI-driven EHR and medical AI scribe to drive patient acquisition and practice efficiency WESTBOROUGH, Mass. — April 18, 2024 — eClinicalWorks®, the largest ambulatory cloud EHR and first AI-driven EHR, today announced that PriMALE Health, a Texas-based clinic dedicated to men’s health, selected eClinicalWorks Cloud EHR and patient engagement solution, healow, to enhance efficiency, improve patient engagement, and reduce operational costs. The practice will also adopt AI-powered ambient listening technology and medical AI scribe, Sunoh.ai, to streamline clinical documentation.   The newly founded […]
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eClinicalWorks EHR and Sunoh.ai Help Canyonville Health and Urgent Care Expand to Chronic Care Management Services



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Practice successfully utilizes the AI-powered medical scribe on iPad, enhancing mobility WESTBOROUGH, Mass. — April 16, 2024 — eClinicalWorks®, the largest ambulatory cloud EHR and first AI-driven EHR, today announced that Canyonville Health and Urgent Care successfully implemented AI medical scribe,Sunoh.ai, to streamline clinical documentation and improve clinical efficiency. As a result of the eClinicalWorks integration with Sunoh.ai, Canyonville Health and Urgent Care can effectively utilize Sunoh.ai to document patient information on eClinicalTouch® apps. Canyonville Health and Urgent Care is a patient-centered primary care clinic with walk-in urgent care services […]
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Goodtime Family Care Saves 50% of Time Spent on Clinical Documentation with Sunoh.ai and eClinicalWorks EHR



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AI-powered medical scribe, Sunoh.ai, and eClinicalWorks EHR solution enables the family practice to reach new heights in efficiency WESTBOROUGH, Mass. — April 11, 2024 — eClinicalWorks®, the largest ambulatory cloud EHR and first AI-driven EHR, today announced that Goodtime Family Care has successfully implemented the medical AI scribe, Sunoh.ai, saving 50% of time spent on clinical documentation and other administrative tasks. As a result of the eClinicalWorks integration with Sunoh.ai, the medical AI scribe is easily available to eClinicalWorks customers, including Goodtime Family Care. Goodtime Family Care was founded in […]
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Bella Medical Selects Sunoh.ai EHR-Agnostic, Medical AI Scribe to Enhance Patient Experience



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eClinicalWorks and Sunoh.ai to assist Texas-based women’s health clinic to save time on clinical documentation and improve patient care WESTBOROUGH, Mass. — March 5, 2024 — eClinicalWorks®, the largest ambulatory cloud EHR and first AI-driven EHR, today announced that Texas-based Bella Medical has selected Sunoh.ai, medical AI scribe to save physicians time on clinical documentation and enhance the quality of care. Recently, eClinicalWorks announced the seamless integration of Sunoh.ai with eClinicalMobile® and eClinicalTouch® apps available on any iOS and Android smartphones and iPads®. Bella Medical is a part of the […]
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31-Provider Healing Hands Ministries Health Selects Sunoh.ai, Medical AI Scribe to Streamline Documentation and Reduce Physician Burnout



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eClinicalWorks and Sunoh.ai to assist Texas-based community health center save time on clinical documentation and enhance patient care WESTBOROUGH, Mass. — February 22, 2024 — eClinicalWorks®, the largest ambulatory cloud EHR and first AI-driven EHR, today announced that Texas-based Healing Hands Ministries (HHM Health) has selected Sunoh.ai, medical AI scribe to save physicians time on clinical documentation and enhance the quality of patient care. Last year, eClinicalWorks announced its integration with Sunoh.ai. The medical AI scribe now seamlessly integrates with eClinicalMobile® and eClinicalTouch® apps on any iOS and Android smartphones […]
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Kellum Medical Group to Leverage Sunoh.ai Medical AI Scribe Integrated With eClinicalWorks EHR to Streamline Clinical Documentation



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Texas-based family medicine practice selects Sunoh.ai to improve focus on patient care and avoid physician burnout WESTBOROUGH, Mass. — February 8, 2024 — eClinicalWorks®, the largest ambulatory cloud EHR, today announced that Texas-based Kellum Medical Group will leverage the AI medical scribe Sunoh.ai to save physicians time on clinical documentation and to improve patient engagement. This EHR-agnostic ambient listening technology is available to Kellum Medical Group through the eClinicalWorks integration with the Sunoh.ai dictation software.   Kellum Medical Group is a trusted medical clinic offering comprehensive, high-quality primary and urgent care […]
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Texas Family Wellness Clinic Selects Sunoh.ai, Ambient Listening Technology for Clinical Documentation



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The primary care facility seeks to accelerate clinical documentation while maintaining high-quality patient care and boosting overall clinic efficiency WESTBOROUGH, Mass. — November 30, 2023 — Sunoh.ai, an EHR-agnostic, AI-powered ambient listening technology for clinical documentation, today announced that Texas Family Wellness Clinic is eager to adopt Sunoh.ai, enabling their providers to save time on clinical documentation and improve efficiency. Over the past several years, the practice has reported challenges with staffing and training scribes. With the help of Sunoh.ai, they aim to decrease physician burnout and strengthen the patient-provider […]
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