Sorting bulk documents received through fax and email and updating patient information in the EMR system was a very time-consuming manual task. To solve this, the EvolveX Intelligent RPA Bot — powered by our proprietary native AI — was deployed to automate document classification, data extraction, and EMR updates. As a result, the customer achieved a major improvement in process speed and reached an impressive data extraction accuracy of over 92%.

Sorting large volumes of documents from faxes and emails in order to update patient information in the EMR system was time-consuming and labor-intensive.

• Documents were lengthy and unstructured, making the manual process slower and more tedious.
• As a result, errors occurred frequently, leading to processing delays and follow-up corrections.
• This reduced the time staff had to focus on direct patient care and other essential, high-impact tasks.
• Manual processing averaged over 3 minutes per page, leading to significant time delays.

The EvolveX Intelligent RPA Bot, powered by our proprietary AI engine, was implemented to streamline and automate tasks related to EMR system updates.

• RPA automatically splits, classifies, and extracts key data using AI, then sends it for user review.
• After validation, it merges documents by patient and uploads them into EMR systems.
• The bot processes each page in less than 10 seconds and handles over 2,500 pages per day.
• This minimizes manual labor, enhances scalability, and reduces the likelihood of human errors.