PROSAR-AIDA in the insurance market
A Unique Approach
A significant advantage of PROSAR-AIDA’s document content discovery method is its ability to process a virtually unlimited number of versions and formats of particular document types. This is a vital feature for classifying and extracting data from unstructured documents such as those found in the insurance market.
Specific Practice areas posing an excellent fit include claims management, policy administration, underwriting, new business processing (applications ...), payments and processing of HR documents.
Paradatec’s unique technology has been applied in the following Insurance sub-verticals:
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Health
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Casualty
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Property (Home, Auto, …)
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Life and Annuity
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Liability
Read more in our whitepaper: PROSAR-AIDA in the insurance vertical (
2168kb )
Dramatic efficiencies have been realized in organizations with some or all of the following attributes:
► Mailroom
• More than 10 staff
• Manual Sorting of documents
• Insertion of separator sheets between documents in a folder/envelope prior to scanning
• No image capture in place
• The larger the number of document types, the better the return
• Large volumes of incoming documents
• Manual Sorting of documents
• Insertion of separator sheets between documents in a folder/envelope prior to scanning
• No image capture in place
• The larger the number of document types, the better the return
• Large volumes of incoming documents
► Data Entry
• More than 10 staff
• More typed data than hand written data
• Low automation rates from OCR/ICR, if any
• More typed data than hand written data
• Low automation rates from OCR/ICR, if any
► Document Retrieval (from a document repository)
• Users only able to retrieve documents by a limited set of meta-data e.g. policy number,
date, etc
• Other metadata is difficult or expensive to capture e.g. Line item detail on an auto
repair invoice (property & casualty)
• Legal description of property from a title document
• Description of denial codes (health)
• Information from attachments to standard forms
date, etc
• Other metadata is difficult or expensive to capture e.g. Line item detail on an auto
repair invoice (property & casualty)
• Legal description of property from a title document
• Description of denial codes (health)
• Information from attachments to standard forms
► Audit
• There is a need to verify whether data on a previously processed paper application
matches an insurer’s database
• The time-consuming process of auditing data is not fully automated
matches an insurer’s database
• The time-consuming process of auditing data is not fully automated
Events
Feb 21, 2012
- Feb 23, 2012
Attending The MBA’s 2012 National Mortgage Servicing Conference & Expo
more events
News
Oct 04, 2011
PROSAR-AIDA 3.1 available
Sep 02, 2011
"Top-ten" lender chooses Paradatec
more news
