A recent eClinicalWorks survey finds that the majority of respondents save 1-4 hours daily with AI
eClinicalWorks®, the largest ambulatory cloud EHR, today announced that 90% of survey respondents using AI solutions in their daily operations have achieved notable efficiency gains. The survey showed that AI solutions like Sunoh.ai and Image AI Assistant save significant time, with over 60% reporting saving 1-4 hours daily on documentation, and 70% saving 1-3 hours on managing their fax inbox. As eClinicalWorks continues to lead in AI innovation, these tools are essential for optimizing healthcare practices and enhancing patient outcomes by allowing providers to reduce administrative burdens, improve work-life balance, and focus on delivering superior patient care.
You can find the survey findings in the full report available here.
Key findings of the survey:
AI Promotes Efficiency for Every Practice
- An overwhelming majority (90%) of respondents using AI-powered solutions have seen improved operational efficiency in their practice.
Sunoh.ai: Saving Time on Daily Documentation
- Over 60% of respondents reported that Sunoh.ai, an AI medical scribe, saves 1-4 hours daily on documentation. Among those who use Sunoh.ai daily, 56% noted a significant or moderate improvement in their work-life balance.
eClinicalWorks Image AI: Easing the Burden of the Fax Inbox
- The survey found that a majority of respondents (~70%) using eClinicalWorks Image AI reported saving 1-3 hours daily. Of those who have not used an AI solution yet, 80% report that the demonstrated time savings and efficiency encourage them to implement one.
healow PRISMA AI: Complete Patient Records on Demand
- 50% of the respondents who utilize the AI Assistant for PRISMA noted saving 1-4 hours daily on gathering patient records from nearby healthcare practices, hospitals, and other organizations.
- Over 64% of those not using an AI assistant spend 1-4 hours daily on the same task.
AI for RCM: Finding and Closing Coding Gaps
- Over half of respondents (54%) plan to implement eClinicalWorks AI for RCM solutions to help identify coding gaps, streamline end-to-end billing workflows, and manage appeals.
- Roughly half (~50%) expect the AI solution to assist in identifying coding gaps.
healow Genie: AI-Powered Contact Center Solution
- A majority of healthcare professionals (60%) surveyed plan to implement healow Genie to automate routine tasks and enhance patient communication.
- 66% of respondents said an AI contact center solution will help automate routine tasks and enhance patient communication.
Girish Navani, CEO and co-founder of eClinicalWorks, said, “Our goal is to democratize AI through innovative and cost-effective solutions accessible within the eClinicalWorks AI-driven EHR. It is clear from the survey results AI has contributed to significant time savings and increased efficiency, which has the potential to transform healthcare operations. It will exponentially help improve healthcare providers’ and medical staff’s quality of life, leading to better patient outcomes.”
eClinicalWorks is at the forefront of integrating AI solutions into healthcare, offering robust tools that address the needs of healthcare providers across various practices, regardless of size, location, or specialty. These AI innovations are designed to enhance patient care, streamline healthcare processes, and improve clinical outcomes.
Recent research published in the Journal of the American Medical Informatics Association highlights the potential of AI to tackle significant challenges faced by modern healthcare practices, such as clinician burnout, operational inefficiencies, and patient safety concerns. eClinicalWorks is committed to leveraging AI to transform these challenges into opportunities for improvement, setting a new standard in healthcare IT efficiency and innovation.
Survey Methodology
eClinicalWorks conducted an on-site survey during the eClinicalWorks 2025 Enterprise and Health Center summits. More than 230 respondents participated in the survey, including C-suite executives, front-office staff, doctors, billers, and technical support staff.