Keep current with the latest announcements, news, and strategic partnerships

Kevin Coloton explains how prospective risk models with AI/NLP enable proactive care while reducing provider burden in value-based care.

AI-powered solutions are advancing value-based care with better data and predictive insights for payers and providers, featuring David DeHommel

In response to CMS’s RFI, Reveleer supports open, standards-based APIs to enable seamless, real-time patient data access across healthcare.

Jay Ackerman explains how retrospective and prospective risk adjustment work together to improve financial performance and patient care.

The shift from V24 to V28 signals a strategic move toward accurate, AI-driven data and stronger risk capture.

Reveleer expands prospective quality improvement capabilities to empower better healthcare outcomes.

“Trust is a big factor, so being given a suggestion that is 70% accurate isn’t good enough. The stakes are too high." says Dave Meyer, Chief AI Officer.

The new office is part of Reveleer's plans to expand its operations and meet the growing demand for its AI-driven healthcare solutions.

Delivering around the clock innovation to its customers, Reveleer enhances its scalability, operational efficiency, and service delivery.

New retrospective risk adjustment solution delivers real-time insights, enhanced coding, and intelligent workflows.

Jay Ackerman discusses how AI can automate time-consuming tasks, streamline fragmented workflows, and consolidate critical risk adjustment to improve value-based care.

Leading value-based care platform gains strong momentum and continued growth for healthcare solutions.