EvoTechEvotech
Healthcare

RPA-Driven Revenue Cycle Transformation for a Hospital Network

A hospital network used RPA and intelligent document processing to reduce cycle time, lower denial rates, and free finance staff for more strategic work.

AutomationMulti-site hospital network, 8 facilities, 12,000 staff
RPA-Driven Revenue Cycle Transformation for a Hospital Network case study visual

Challenge

Manual claims processing across multiple facilities caused long revenue-cycle times, coding errors, and high denial rates. Finance teams were overloaded with repetitive data entry rather than exception handling or analysis.

Approach

EvoTech deployed a coordinated set of bots across claims submission, prior authorization, payment posting, and denial management. Intelligent document processing was added to automate clinical document intake and accelerate coding support.

Results

  • Revenue cycle time reduced from 14 days to 6 days.
  • Denial rate dropped from 18 percent to 7 percent.
  • $3.2M in previously written-off claims recovered in year one.
  • Manual data-entry time dropped sharply, freeing staff for higher-value work.
Discuss a Similar Engagement
Process

Solution structure

Healthcare revenue cycle automation

1

RPA Bot Development

Designed RPA bots to handle patient registration, insurance verification, and claim submission workflows.

2

Intelligent Document Processing

Implemented intelligent document processing for EOBs and patient correspondence using OCR and NLP.

3

Monitoring Framework

Built monitoring and exception handling framework with human-in-the-loop review for complex cases.

Results

Outcome metrics

Measurable business impact

9
months
Timeline
45%
reduction
Cycle time
38%
improvement
Denial rate
120
FTE
Staff capacity
Next Step

Automating healthcare revenue cycle processes?

EvoTech can design RPA and intelligent automation that improves cycle time, reduces denials, and frees finance staff for higher-value work.