Rural Louisiana hospital reduces prior authorization denial rate to 0.21% and boosts cash flow $2.28M with Jorie AI RPA

The hospital's manual prior authorization process caused significant delays and high denial rates, straining the A/R team. Inaccurate charge reviews led to lost revenue opportunities, and staff had to manually enter data, verify insurance details, and track authorizations — increasing labor costs and error rates.

Jorie AI automated the submission and real-time tracking of prior authorization requests, ensuring all required information was included. Automated eligibility verification checks minimized data errors. The system also provided denial trend insights, allowing the hospital to adjust processes and reduce future denials.

Authorization denial rate fell to 0.21% and eligibility denial rate dropped to 0.12%. Of over 3,700 prior authorizations processed, only 44 were denied. The hospital saw a 15% increase in collected payments and a $2.28M boost in cash flow from improved authorization efficiency.

• Automating prior authorization submission and tracking can reduce denial rates to near-zero even in resource-constrained rural settings.
• Denial trend analytics create a feedback loop that continuously improves future submission accuracy.
• RPA in revenue cycle management delivers measurable ROI quickly, with $2.28M in cash flow improvement tied directly to authorization automation.