One of Texas’s largest multispecialty groups achieves 97% clinician engagement rate — far exceeding industry benchmarks — as ambient clinical intelligence scales across 40 locations
Austin Regional Clinic (ARC), one of the largest multispecialty medical groups in Central Texas, serving more than 700,000 patients across 40 locations in 15 communities, today announced its collaboration with Suki, the leader in Ambient Clinical Intelligence (ACI). The collaboration is already delivering measurable gains in clinician efficiency, coding accuracy, and AI adoption, offering a rare, quantified look at what happens when ambient clinical intelligence is successfully deployed at scale.
The Results at a Glance
Since going live with Suki, ARC has measured:
- 18.5% reduction in documentation time per patient encounter.
- An average annual improvement of $1,452 per provider associated with more accurate Evaluation & Management (E/M) coding.
- 97% engagement rate among onboarded clinicians, with clinicians using Suki during an average of more than five patient encounters per week, far exceeding typical clinical AI adoption benchmarks.
Why It Matters
Administrative burden costs the U.S. healthcare system an estimated $390 billion annually, and documentation overload is a leading driver of clinician burnout. Most AI pilots in healthcare struggle to break through to mainstream adoption — making ARC’s 97% engagement rate a standout data point for health system executives weighing ambient AI investments.
ARC’s results are significant not just for their scale, but for what they measure: the platform drove simultaneous improvements in clinical efficiency, revenue cycle performance, and clinician satisfaction — three outcomes health systems rarely achieve together.
“Austin Regional Clinic is proud to use AI technology to increase the quality and efficiency of the healthcare services provided by our clinicians,” said Manish Naik, MD, Chief Medical Officer and Chief Medical Information Officer for ARC. “Clinicians are increasingly faced with the challenge of balancing documentation and efficiency while prioritizing the patient relationship. Adopting AI solutions like Suki help us better achieve this balance for our patients and ARC teams.”
Unlike ambient documentation point solutions that stop at transcription, Suki’s platform extends into coding support and broader clinical workflow automation — integrating with existing EHR systems without requiring clinicians to change how they practice. Today, Suki is deployed enterprise-wide across Austin Regional Clinic, supporting clinicians throughout the organization’s multispecialty practice.
“Austin Regional Clinic has long been recognized as a leader in delivering high-quality, patient-centered care,” said Punit Soni, founder and CEO of Suki. “What ARC has demonstrated is what’s possible when ambient AI is deployed with intention and integrated seamlessly into everyday clinical workflows. These results are a proof point for the entire industry.”
ARC and Suki will continue working together to identify new opportunities to streamline workflows and advance care delivery across the organization.