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

By: May 30, 2024 at 9:57

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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eClinicalWorks and Sunoh.ai Help Women’s Health Clinic Save Over Two Hours on Clinical Documentation Daily

By: May 23, 2024 at 9:59

Rocky Mountain Women’s Clinic reaps the benefits of the AI-powered medical scribe, with enhanced clinical efficiency and improved work-life balance WESTBOROUGH, Mass. — May 23, 2024 — eClinicalWorks®, the largest ambulatory cloud EHR, today announced that Rocky Mountain Women’s Clinic successfully implemented Sunoh.ai, saving providers two hours daily on clinical documentation. Through eClinicalWorks integration with Sunoh.ai, the revolutionary solution is easily accessible to eClinicalWorks users for a seamless experience. The AI-powered medical scribe has drastically reduced administrative burdens and improved the providers’ work-life balance, enhancing productivity and patient care. Established […]
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eClinicalWorks Announces Integration of Sunoh.ai for Dermatology Clinics Nationwide

By: May 15, 2024 at 9:57

The AI medical scribe enhances dermatology care and operations with streamlined clinical documentation WESTBOROUGH, Mass. — May 15, 2024 — eClinicalWorks®, the largest ambulatory cloud EHR, today introduced announced the availability of Sunoh.ai for dermatology clinics nationwide. The EHR-agnostic AI-powered medical scribe assists dermatology professionals in enhancing dermatology care and operations for more efficient, faster, and comprehensive clinical documentation. Using Sunoh.ai, dermatologists can easily document their observations to formulate comprehensive treatment plans. Dermatologists can dictate skin conditions, its location, size, color, and any other pertinent information related to the condition. […]
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Atlantis Orthopedics Selects eClinicalWorks Cloud EHR and healow to Improve Practice Efficiency and Enhance Patient Care

By: May 7, 2024 at 10:01

The orthopedic practice to utilize eClinicalWorks fully integrated practice management solution and Sunoh.ai AI medical scribe WESTBOROUGH, Mass. — May 7, 2024 — eClinicalWorks®, the largest ambulatory cloud EHR, today announced that Florida-based Atlantis Orthopedics, has selected eClinicalWorks Cloud EHR and healow® patient engagement solutions to streamline operations and improve patient engagement. Sunoh.ai, the revolutionary EHR-agnostic, AI-powered medical scribe, will be available to the practice through eClinicalWorks’ integration with Sunoh.ai.   Atlantis Orthopedics is a Palm Beach County legacy practice with a team of orthopedic specialists that treat arthritis, sports […]
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Brownfield Regional Medical Center Implements Sunoh.ai, to Accelerate Clinical Documentation and Enhance Efficiency

By: April 25, 2024 at 9:57

The AI-medical scribe integrated within eClinicalWorks EHR helps the rural health clinic drastically speed up documentation time by 40% WESTBOROUGH, Mass. — April 25, 2024 — eClinicalWorks®, the largest ambulatory cloud EHR, today announced that the federally designated rural health clinic (RHC) Brownfield Regional Medical Center has successfully implemented Sunoh.ai. It has enabled providers to complete medical charting in a record time, speeding the documentation up to 40% faster. As a result of the eClinicalWorks integration with Sunoh.ai, the medical AI scribe is easily available to eClinicalWorks users, including Brownfield […]
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PriMALE Health Rolls Out eClinicalWorks Cloud EHR, Sunoh.ai Medical AI Scribe, and healow Patient Engagement Solutions

By: April 18, 2024 at 9:57

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

By: April 16, 2024 at 9:57

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

By: April 11, 2024 at 9:57

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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Primary Care Medical Partners Selects eClinicalWorks AI Solutions and Sunoh.ai to Save Time on Documentation and Reduce Physician Burnout

By: April 4, 2024 at 9:58

The advanced AI solutions and AI medical scribe will assist the practice in streamlining clinical documentation and enhancing patient engagement WESTBOROUGH, Mass. — April 4, 2024 — eClinicalWorks®, the largest ambulatory cloud EHR, today announced that Primary Care Medical Partners selected eClinicalWorks AI solutions and Sunoh.ai to streamline clinical workflows, reduce burnout and improve patient care. Sunoh.ai, the revolutionary AI-powered, EHR-agnostic, ambient listening technology, will be available to Primary Care Medical Partners through eClinicalWorks’ integration with Sunoh.ai. Primary Care Medical Partners offers comprehensive medical services, including behavioral, preventive medicine, and […]
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Regional Medical Associates Achieves Up to 90% Time Savings on Clinical Documentation with Sunoh.ai and eClinicalWorks EHR

By: March 13, 2024 at 9:58

Sunoh.ai medical AI scribe assists in creating unique patient summaries and facilitates enhanced patient engagement WESTBOROUGH, Mass. — March 13, 2024 — eClinicalWorks®, the largest ambulatory cloud EHR and first AI-driven EHR, today announced that Regional Medical Associates has successfully implemented medical AI scribe, Sunoh.ai, saving significant time on clinical documentation. As a result of the eClinicalWorks integration with Sunoh.ai, the medical AI scribe is easily available to eClinicalWorks customers, including Regional Medical Associates.   After integrating Sunoh.ai, Regional Medical Associates reports saving time across operations:   90% for a simple patient […]
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