Case Study
Overview
A regional healthcare system engaged Innoira to deploy RPA for automating medical records processing, document classification, and EHR data entry—significantly reducing backlogs and improving clinical data accuracy.
BUSINESS CHALLENGES
- Backlog of 50,000+ medical records awaiting processing and digitization
- Manual data entry errors caused clinical documentation inconsistencies
- Staff overwhelmed by volume of incoming faxes, referrals, and external records
- Delayed record availability impacted care coordination and clinical decisions
SOLUTION IMPLEMENTED
- Implemented intelligent document classification using RPA with OCR capabilities
- Automated extraction of key clinical data points and structured EHR entry
- Created workflow routing based on document type, priority, and destination department
- Deployed quality assurance automation for data validation and error flagging
Impact Delivered
80% Faster
Processing Speed
Record processing time reduced dramatically
99.5%
Data Accuracy
Near-perfect accuracy in automated data entry
6 weeks
Backlog Cleared
Complete elimination of 50K record backlog
12
FTEs Redeployed
Staff moved to higher-value clinical support roles