From Pilot to Scale: Making Agentic AI Work in Health Care
Health-care systems are being optimized for staff and patients by basing LLMs in facts and logic through neuro-symbolic AI.
August 28, 2025
Health-care systems are being optimized for staff and patients by basing LLMs in facts and logic through neuro-symbolic AI.
Health systems are increasingly turning to outsourcing as a strategy to address operational inefficiencies and financial pressures.
In July, it transitioned revenue cycle, patient access and other administrative functions to Ensemble Health Partners.
AI pushes medical coding to where autonomous coding can scale across all specialties, automate up to 90% of cases + drive revenue integrity.
RCM is looking to agentic AI to solve major pain points, but there are implementation considerations before tech can deliver on its promises.
High-value use cases for agentic AI in RCM are emerging as early adopters realize greater efficiencies, automation and payment accuracy
Bon Secours Mercy Health’s partnership with Ensemble has allowed the health system to drive significant and sustainable financial results.
Agentic AI promises to tackle revenue cycle management’s biggest challenges, including staffing shortages and workflow inefficiencies.
Translating AI from buzzword to operational backbone remains a steep climb in healthcare revenue cycle management.
As hospitals face increasing pressures, a growing number of leaders are turning to an old business truth: What gets measured, gets managed.
Most AI-driven RCM solutions will fail. The reason: AI without deep operational expertise doesn’t work in the real world.
Ensemble Health Partners uses Databricks to uncover insights that optimize revenue management.