The client is an acute care hospital that has served the people of Chicago’s southwest suburbs for more than 40 years. The hospital has around 3000 employees and specializes in Cardiovascular Services, Orthopedics, Women’s Health, Primary Care, and Outpatient Services.

AiRo proposed a solution that used OCR technology to read the data from the EDI application, form 1500 and UB04, payment documents, and other attached documents received in the inbox and prepare a CSV file.

Extracting And Storing Information From Multiple Source Documents Proved To Be Time Consuming Process

The provider was unable to manage the time-consuming process of gathering information from various documents and copying/moving that information into multiple systems. This process delayed the timely response that customers desire when they file a claim. High processing time due to movement between Legacy-systems and new systems. No prioritization and evaluation of the insurance were submitted as it was a time-consuming task. The client wanted a solution to streamline these processes for faster and error-free data processing of claim follow-ups.

AiRo’s Solution for Intelligent Automation for Insurance Follow-Up

AiRo proposed a solution that used OCR technology to read the data from the EDI application, form 1500 and UB04, payment documents, and other attached documents received in the inbox and prepare a CSV file. AiRo’s machine learning algorithms then process the data to ensure all necessary information and documents are present according to the checklist and start the submission process with strict business rules and compliances. The solution also used RPA to facilitate communication between legacy and newer systems that were previously not possible without extensive navigation and analysis.

The Client Recorded Significant Gains Post Solution Deployment

• 80% Decrease the paid-out damage budget

• $35K Saving on overhead cost

• 85%+ Saving on operational cost

• 40% Increased client satisfaction