eClinicalWorks EHR Receives HRSA Approval for UDS+ Submissions for Health Centers Nationwide

By: March 25, 2024 at 9:57

eClinicalWorks successfully completes UDS+ FHIR® synthetic testing and begins FQHC voluntary testing WESTBOROUGH, Mass. — March 25, 2024 — eClinicalWorks®, the largest ambulatory cloud EHR, today announced the successful completion of the synthetic testing of UDS Patient Level Submission (UDS+) reporting via Fast Healthcare Interoperability Resources (FHIR®). The Uniform Data System Modernization (UDS) initiative aims to help health centers streamline annual reporting, improve data quality, and comply with interoperability standards and regulations. UDS+ helps community health centers better track, analyze, and report quality care reporting, which can help improve practice […]
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20+ Provider Hyndman Area Health Center Selects eClinicalWorks AI Solutions and Sunoh.ai to Improve Practice Efficiency

By: January 30, 2024 at 9:58

Pennsylvania-based multispecialty group to leverage eClinicalWorks AI functionalities to reduce administrative burdens and accelerate clinical documentation WESTBOROUGH, Mass. — January 30, 2024 — eClinicalWorks®, the first AI-driven EHR, today announced that Hyndman Area Health Center (HAHC) will now utilize the eClinicalWorks AI solution and virtual scribe, Sunoh.ai, to save physicians time on clinical documentation and improve patient engagement. HAHC is a holistic health center offering comprehensive healthcare services, including family medicine, dental health, behavioral health, women’s health, chronic care management, and more, at four locations in Pennsylvania. The practice’s mission […]
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Centerpoint Health Leverages Data from eClinicalWorks EHR and healow No-Show Prediction AI Model to Improve Clinical Workflows

By: January 25, 2024 at 10:13

The federally qualified health center successfully increases the show rate by 24% for appointments with a high risk of no-show WESTBOROUGH, Mass. — January 25, 2024— Centerpoint Health, a leading federally qualified health center (FQHC), today announced a successful integration of the no-show prediction AI model, achieving 90% accuracy in identifying and reducing missed appointments. Powered by AI and machine learning, the healow® no-show prediction AI model empowers Centerpoint Health with a reliable tool to proactively manage their scheduling and outreach strategies. By harnessing data from eClinicalWorks® EHR, the practice […]
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100-Provider FQHC DePaul Community Health Centers to Leverage Sunoh.ai and eClinicalWorks AI Solutions to Reduce Physician Burnout

By: January 11, 2024 at 9:59

eClinicalWorks to aid the multispecialty group to improve patient care through its advanced AI solutions, streamlining processes and reducing costs WESTBOROUGH, Mass. — January 11, 2024 — eClinicalWorks®, the largest ambulatory cloud EHR, today announced that Louisiana-based DePaul Community Health Centers selected eClinicalWorks AI solutions to streamline workflows and enhance patient care. eClinicalWorks recently unveiled a series of AI-powered functionalities to reshape the future of EHRs. Sunoh.ai, the revolutionary AI-powered, EHR-agnostic, ambient listening technology, will be available to DePaul Community Health Centers through eClinicalWorks through the integration with Sunoh. These […]
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28-Provider FQHC Reports Streamlined Operations Utilizing eClinicalWorks V12

By: November 14, 2023 at 9:59

Health Care Partners of South Carolina uses the first multidimensional EHR WESTBOROUGH, Mass. — November 14, 2023 — eClinicalWorks®, the largest ambulatory cloud EHR, today announced that Health Care Partners of South Carolina — a federally qualified health center (FQHC) providing primary and specialty care services to the Conway, Marion, and Johnsonville, SC-region — is successfully utilizing to eClinicalWorks EHR version, V12. With V12, the first multidimensional EHR, the health center can use leading care technologies to enhance and streamline care for over 12,000 patients. Health Care Partners of South […]
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eClinicalWorks Cloud EHR Improves Operational Efficiency for 134-Provider Federally Qualified Health Center

By: November 7, 2023 at 9:59

CA-based practice sees success and improved patient engagement with the multi-dimensional eClinicalWorks V12 WESTBOROUGH, Mass. — November 7, 2023 — eClinicalWorks®, the largest ambulatory cloud EHR, today announced that Ampla Health— a 134-provider federally qualified health center (FQHC) in Yuba City, CA — is leveraging the multi-dimensional eClinicalWorks V12 to optimize the practice’s operational workflows. The cloud-based EHR helps the FQHC improve efficiency and provides value-added software that transforms the physician’s experience and empowers patients. Ampla Health offers a wide range of medical and dental services that are culturally and […]
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New York-Based FQHC Reports 20% Improvement in Patients Controlling High Blood Pressure and a 17% Increase in Depression Screening Utilizing eClinicalWorks

By: October 5, 2023 at 9:59

Betances Health Center establishes standardization and combats physician burnout with eClinicalWorks EHR WESTBOROUGH, MA.—October 5, 2023—eClinicalWorks®, the largest ambulatory cloud EHR, today announced that Betances Health Center— a New York-based federally qualified health center (FQHC) — is successfully utilizing the eClinicalWorks EMR Optimization Services to standardize and enhance organizational efficiency to combat physician burnout. Betances Health Center is also leveraging healow patient engagement solutions to empower patients and improve health outcomes.   Betances Health Center is a leading community-based primary care practice, offering comprehensive and affordable health services to over […]
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eClinicalWorks Supports Community Health Centers with the Uniform Data System (UDS+) Modernization Initiative

By: September 21, 2023 at 10:01

eClinicalWorks reports significant progress towards enabling UDS+ for improved interoperability and data quality WESTBOROUGH, MA.—September 21, 2023— eClinicalWorks®, the largest ambulatory cloud EHR, today announced significant progress towards enabling the UDS Patient-Level Submission (UDS+) reporting via FHIR® (Fast Healthcare Interoperability Resources). eClinicalWorks recently participated in the HL7 FHIR Connectathon and is conducting synthetic testing to emulate healthcare provider scenarios to ensure UDS+ is reliable for all health center customers, resulting in better data and improved patient care.   The Uniform Data System Modernization (UDS) initiative aims to help health centers […]
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50-Provider FQHC Significantly Reduces Patient No-Show Rate by Implementing healow No-Show Prediction AI Model

By: September 14, 2023 at 10:10

Total Health Care, Inc. successfully leverages healow no-show prediction AI model to improve access to care WESTBOROUGH, MA.—September 14, 2023— Total Health Care, Inc., a Federally Qualified Health Center (FQHC) in Baltimore, Maryland, is successfully leveraging the healow® no-show prediction AI model to improve patient care, reduce missed appointments, and ultimately increase revenue outcomes.   Total Health Care provides primary care — including dental, behavioral health, podiatry, pharmacy services, and more — to nearly 30,000 patients throughout Metropolitan Baltimore, many of whom are at or below the 200% poverty line. […]
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72-Provider FQHC Implements eClinicalWorks Population Health Solutions for Improved Screening and Compliance

By: August 17, 2023 at 9:58

eClinicalWorks population health solutions streamline patient data for Connecticut Institute for Communities, Inc. WESTBOROUGH, MA.—August 17, 2023— eClinicalWorks®, the largest ambulatory cloud EHR, today announced that Connecticut Institute for Communities, Inc., (CIFC) — a 72-provider FQHC—deployed the eClinicalWorks Population Health solutions to improve the delivery of quality care and evaluate access to healthcare services.   CIFC deployed eClinicalWorks Population Health solutions, including the Healthcare Effectiveness Data and Information Set (HEDIS® Analytics), to save time and improve compliance measures. The institute implemented the model just before the COVID-19 pandemic, which helped […]
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