Case Study: Qualis Health achieves 35% fewer care management steps and automated error reduction with ZeOmega’s Jiva Sentinel Rules Engine

Qualis Health Enhances Business Process Workflows by Combining Lean Expertise with Rules Engine Intelligence from ZeOmega®

Qualis Health, a nonprofit population healthcare consulting organization, needed to streamline and automate complex care management workflows that support more than 200,000 utilization reviews per year and involve over 200 distinct functions across intake staff, clinical reviewers, managers, and executives. To advance its Lean initiatives and gain flexible, configurable rules-based automation, Qualis Health implemented ZeOmega’s Jiva Sentinel Rules Engine.

ZeOmega worked with Qualis Health’s Lean and IT teams to map processes, automate redundant steps, and apply event-driven rules and predictive modeling. The Jiva Sentinel Rules Engine reduced care-management workflow steps by 35% and decision forks by 30%, decreased clicks and processing errors, eliminated backlog and cut patient wait times within days, delivered a 10% staffing reduction in the first 30 days (with a projected 30% resource reduction), and sped invoicing and improved data integrity — outcomes attributed to ZeOmega’s solution.

Qualis Health

Marci Scott-Weis

Chief Operating Officer