How does our Document AI Platform help optimise claims processing workflows?
An AI-powered OCR (Optical Character Recognition) data extractor can transform document workflows in many industries, particularly in claims processing. OCR technology uses AI to recognise printed or handwritten text within various types of documents and then extract that data so it can be used as required. One of the primary advantages of using OCR technology for the automated extraction of data is the significantly reduced processing time. Where manual data entry from a large volume of documents can take considerable man-hours, Affinda's AI-powered OCR data extractor can extract all the necessary fields in seconds. This not only speeds up the claim processing time but also mitigates human errors, thus increasing the accuracy and reliability of the data.
In healthcare, for instance, OCR technology can automate the data extraction from health insurance claim forms. It can significantly expedite the claims process by sorting through, extracting, and collating necessary patient information, diagnosis codes, medical procedures, and costs. In the logistics sector, companies handle product damage or loss claims. An AI-powered OCR data extractor can streamline the process by extracting data from logistics documents, fostering efficiency and accuracy in reimbursement calculations. Overall, an AI-powered OCR data extractor can create efficient claim processes across various industries by eliminating manual input, speeding up data processing, reducing errors, and allowing teams to focus more on assessing the validity of the claims.