What You Should Know:
– VisiQuate, a leader in AI-powered revenue cycle management (RCM), announced its acquisition of Etyon, a healthcare technology company recognized for its deep RCM machine learning, domain-specific algorithms, and advanced data tokenization capabilities. This strategic acquisition will significantly enhance VisiQuate’s ability to provide augmented intelligence and real-time operational guidance to healthcare revenue cycle teams.
– The integration of Etyon’s proven predictive models, payment variance scoring, denial prevention algorithms, and tokenized data structures into VisiQuate’s Ana Intelligence Suite will eliminate guesswork, streamline workflows, and drive higher financial yield for clients.
Enhancing RCM Efficiency Through Advanced AI
Founded in 2014, Etyon Health builds Revenue Cycle Management solutions driven by AI to generate more revenue per patient and capture more cash per claim while taking costs out of operational and analysis activities. The acquisition bolsters VisiQuate’s longstanding leadership in AI and machine learning by layering in complementary capabilities that further support the elimination of revenue cycle inefficiencies – from denials and underpayments to workflow bottlenecks and staffing blind spots.
The combined platform is designed to accelerate VisiQuate’s proven ability to deliver augmented intelligence and real-time operational guidance. This empowers revenue cycle teams to prioritize better, act faster, and work smarter, especially in environments where precision, productivity, and workforce optimization are more critical than ever.
“Etyon doesn’t just analyze data – they surface answers that are highly actionable,” said Brian Robertson, Founder & CEO of VisiQuate. “Their framework acts like a GPS for revenue cycle teams: it shows you what’s wrong, tells you why it matters, and recommends exactly what to do next. That kind of clarity amplifies and reinforces what VisiQuate’s platform has been doing for years – especially as providers navigate a minefield of denials, staffing constraints, and operational inefficiencies that demand smarter, faster decisions.”
Financial details of the acquisition were not disclosed.
