RPA bots streamline clinical document processing by automating the extraction, classification, and entry of medical data into electronic health records. This enhances data accuracy, reduces manual effort, and improves overall efficiency in healthcare administration.
One of the healthcare client was struggling to maintain and update clinical documents with new patients.<br>In most of the cases, associate was required to analyze the supporting documents and then create entry into system. The volume as 20k per month.
We proposed to implement OCR with RPA to extract the information from the clinical documents (either native document / scanned image).
Before and after processing, the OCR engine employs techniques to filter out disturbances and refine data extraction, ensuring high accuracy in converting scanned or digital documents into readable formats.
It allows for review by both a creator and a checker to rectify errors, and notifies stakeholders if accuracy levels drop below a specified threshold.
And, finally transforms unstructured clinical document into structure data (spreadsheet).
After OCR processing, RPA bots seamlessly retrieve extracted data and input it into clinical management systems, streamlining administrative tasks and improving data accuracy in healthcare operations.
Reduced licensing and infrastructure cost
Improved accuracy
Cost saving
Substantial effort reduction
