Our client embarked on an automation journey to build a scalable solution that would improve the efficiency and accuracy of their medical requisition intake process.
The organization processes a high volume of requisition forms received from clinics and healthcare institutions on a daily basis. The requisitions are then reviewed and manually entered into an internal order system. Once the requisition is saved in the system, several data validation processes need to be performed to ensure the accuracy and completeness of the requisition.
Requisition forms vary and require different OCR templates
Difficult to capture handwritten text by OCR
Thousands of requisitions are received daily
Highly time-sensitive process
Complex business logic required to validate requisition data accuracy
Paper requisitions are fed into a scanner and converted it into electronic documents
Custom OCR solution extracts information from the converted requisition and sends it to a UiPath Orchestrator queue
The UiPath robot retrieves work items from the queue and validates data based on predefined business rules
Any data the OCR returned with low confidence or with a rule violation, the UiPath bot opens the electronic version of the requisition and requests human correction, validation, or an overwrite of low confidence fields
Once the validation is completed, the bot proceeds with data entry in the order system for further processing
Lastly, the bot stores meta-data associated with the electronic requisitions for future reference
20% FTE reduction
Significant reduction in manual effort and therefore human error
Immediate decrease in backlog
80% of the current manual processing efforts can be managed by the bot
Doubled the processing efficiency of requisitions to 10,000 with a 100% accuracy rate, removing the need for any rework
Client Success Stories
A Health Sciences Corporation
A Health Sciences Corporation that oversees several hospitals in Southern Ontario realized the importance of rising issues and complexity of post-go-live turbulences having a significant impact on their day-to-day operations.