HealthLeaders Media June 14, 2023
Eric Wicklund

In a Q&A, Joann Ferguson, the health system’s VP of revenue cycle, explains how the technology saves time and money and improves revenue cycle and clinical processes.

KEY TAKEAWAYS

– Healthcare organizations like Detroit’s Henry Ford Health are turning to AI to tackle medical coding, an inefficient and costly process that affects both clinical and revenue cycle operations.

– At Henry Ford Health, abstraction for bedside encounters comprises 20% of overall coding costs and takes an average of 40 minutes per patient.

– Joann Ferguson, the health system’s vice president of revenue cycle, says AI technology “reduces the daily workloads on physicians, medical coders, and billing administrators, driving better financial and operational performance while improving our coders’ job satisfaction.”

Among...

Today's Sponsors

Venturous
ZeOmega

Today's Sponsor

Venturous

 
Topics: AI (Artificial Intelligence), Health System / Hospital, HIM (Health Inf Mgmt), Interview / Q&A, Provider, RCM (Revenue Cycle Mgmt), Technology, Trends
AI-enabled clinical data abstraction: a nurse’s perspective
Contextual AI launches Agent Composer to turn enterprise RAG into production-ready AI agents
OpenAI’s latest product lets you vibe code science
WISeR in 2026: Legal, Compliance, and AI Challenges That Could Reshape Prior Authorization for Skin Substitutes
Dario Amodei warns AI may cause ‘unusually painful’ disruption to jobs

Share Article