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Set up rule-based workflows to identify and remove any duplicate entries and human review for complex or ambiguous transactions. For instance, if the bank statement shows a $1,000 deposit on a specific date, it matches the corresponding entry in the accounting records. Use advanced matching engines to create customizable match rules.
For this, all details of the purchase as mentioned in the invoice are matched with the corresponding purchase order to ensure that the product/services that were ordered were delivered correctly and at the price agreed upon. This verification process is called 2-way matching.
MS-Excel files), structured XML documents from Electronic Data Interchange (EDI), PDFs and image files, and sometimes as hard copy documents. Errors at the start of the invoice processing workflow can snowball into serious outcomes such as over-payment, incorrect payments, invoice duplication, etc.
Handling unstructured data Much of healthcare data is unstructured, including physician notes, patient narratives, administrative correspondence, and imaging reports. The validation workflow enables you to detect and flag duplicate documents to prevent issues like double billing.
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