Ensemble Health Partners, Microsoft Strengthens AI-Powered Revenue Cycle Management with Expanded Partnership

What You Should Know: 

Ensemble Health Partners, a provider of end-to-end revenue cycle outsourcing (RCM) for healthcare organizations, has announced a significant expansion of its partnership with Microsoft

– The strategic collaboration aims to accelerate the development and adoption of Ensemble’s industry-leading revenue cycle intelligence platform, EIQ®.

EIQ®: Powering AI-Driven Revenue Cycle Management

EIQ® is a powerful platform that leverages Microsoft Azure’s advanced generative AI and machine learning (ML) capabilities. This empowers Ensemble to deliver a comprehensive suite of RCM solutions, including:

  • Automation: Automating repetitive tasks across the entire revenue cycle, freeing up staff for more strategic initiatives.
  • Machine Learning: Utilizing ML algorithms to identify trends and predict potential issues, allowing for proactive problem-solving.
  • Artificial intelligence: Implementing AI tools to enhance decision-making and streamline workflows.
  • Generative AI: Pioneering the use of generative AI for tasks like generating personalized appeal letters within seconds.

Ensemble has made significant investments in EIQ®, pouring over $100 million and 2 million development hours into building and refining this critical platform. Their dedication has resulted in eight U.S. patents for innovative RCM processes and data exchange functionalities.

“Each day, our operators work with an AI-optimized infrastructure that harnesses the richest data set in the industry to drive consistent, optimal outcomes our clients can rely on,” said Ensemble’s Chief Technology Officer Grant Veazey. “Our models are informed by thousands of variables and consume billions of transactions. The greater the volume and variety of data, the more complete and valuable models become – providing better and faster insights at the point of decision. Our partnership with Microsoft allows us to deploy hundreds of generative AI models quickly and safely to the millions of healthcare transaction we process daily.”