Automated Data Entry Unstructured Documents that Can Learn

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Automated Data Entry Unstructured Documents that Can Learn

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America's Car-Mart operates 91 automotive dealerships in nine states. The Problem ... Dealers equipped with Canon scanners and Kofax Capio ... – PowerPoint PPT presentation

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Title: Automated Data Entry Unstructured Documents that Can Learn


1
Automated Data Entry Unstructured Documents that
Can Learn
2
Who is Paradatec?
  • German company, founded in 1988
  • Started automating mail rooms in central Europe
  • One product line PROSAIR-AIDA for unstructured
    and freeform document capture
  • The fastest OCR in the industry
  • Positioned well within healthcare vertical and
    Accounting horizontal
  • NO Templates

3
What is PROSAR?
  • PROSAR - an OCR/ICR-program  based on artificial
    neural networks
  • PROSAR the free-form text recognition system has
    become PROSAR-AIDA, with which data can be
    accessed from formatted and unformatted
    documents.
  • PROKEY is software for the correction and manual
    verification of data which could not or only
    partly be recognized by any of the two
    recognition programs.

4
How Does PROSAIR-AIDA Work?
Classification
Extraction
Export
3rd Party Capture
Other App
Quality Control
Quality Control
5
  • What are some real-life examples of PROSAR-AIDA
    in action?

6
Follett Higher Education Group
  • Paradatec implemented an automated data capture
    system for Accounts Payable using
  • Captivas InputAccel document imaging platform
  • Paradatecs PROSAR-AIDA OCR ICR technology
  • Interfacing to a Lawson payment system
  • Up to 30,000 pages per day are scanned into the
    system. 
  • Three (3) scanners, connecting to 3 PROSAR-AIDA
    systems via InputAccel. 
  • Eleven (11) different document types identified
    by PROSAR-AIDA. 
  • More than 30,000 invoice vendors. 
  • Credit memos are also processed. 

7
Follett Higher Education Group
  • Solution
  • Vendor numbers are extracted via database lookup
    that is tolerant to differences in address
    formats between the vendor database and the
    invoice vendor address. 
  • Purchase order numbers are extracted and are
    compared to items in Folletts purchase order
    database (three-way match). 
  • Canadian stores and vendors are also supported. 
  • Routing to the appropriate person (for exceptions
    or based on the dollar value of an invoice) is
    automatic, based on the PROSAR-AIDA results file
    and carried out by another tool. 
  • PROSAR-AIDA OCR process takes around 1.5 seconds
    per page. 
  • The system has been running without interruption
    since production

8
Akron Cardiology
  • Challenge
  • Extract data from potentially many hundreds of
    different EOB layouts  
  • Find a solution with a proven track record  
  • Eliminate the need for paper retention  
  • Automate data extraction of EOB data  
  • Increase the amount of data captured to include
    data needed to recover revenue (e.g. zero amounts
    paid procedures, paid amounts not matching
    contract, inappropriate denial codes)

9
Akron Cardiology
  • Solution
  • Scan is performed by Ascent Capture.
  • Data extraction and validation are performed by
    PROSAR-AIDA and PROKEY respectively.
  • PROSAR-AIDA and PROKEY are certified for Ascent
    Capture
  • PROSAR-AIDA is used for automatic extraction of
    data while PROKEY is used to allow an operator to
    validate uncertain data.
  • Results
  • Data automation rates in excess of 75 across all
    insurance company layouts  
  • Eliminated the majority of manual data entry
    work  
  • Seamless interface into document imaging system
     
  • Provision of data needed in order to generate
    exception reports (e.g. procedures where "paid"
    amount is zero ....)  
  • Increased accuracy of data  
  • More data can be provided for customer service
    databases than could have been possible via
    manual data entry

10
Americas Car-Mart
  • America's Car-Mart operates 91 automotive
    dealerships in nine states
  • The Problem
  • Growing number of suppliers and customers,
    creating two major paper-based problems
    invoices and sales documents.
  • Invoices were
  • opened at the dealership
  • approved
  • sent to headquarters for payment
  • Invoices were sent by mail/courier - slow and
    expensive and
  • Faxing was a faster alternative, image quality
    was a concern
  • At the corporate office,
  • Six (6) AP clerks sorted the invoices,
  • Manually keyed them into the accounting system
    for payment,
  • Filed them in cabinets.
  • Manual process was slow and prone to lost
    documents.
  • Early payment discounts were often not realized.
  • Company was not in a position to negotiate
    enterprise level agreements or price breaks

11
Americas Car-Mart
  • The Solution
  • Dealers equipped with Canon scanners and Kofax
    Capio
  • The image files are received by Kofax Ascent
    Collection Server
  • Kofax Ascent Capture releases to document
    management system (DMS)
  • Dealers access invoices and sales docs via DMS
  • To reduce data entry, PROSAR-AIDA extracts
    information from invoice images
  • To prevent double paying, Paradatec extracts the
    vendor and invoice numbers and looks for a match
    in the document management system
  • If a match is found, that invoice is already in
    the system and an alert is raised.
  • If no match is found, metadata is exported to
    Car-Marts accounting system to pay the invoice.

12
Patient billing and eob processing
  • Scan paper using any Kofax, Captiva or scan to
    directory
  • Prosair-Aida performs work.
  • Classify
  • Validate
  • Extract
  • Route exceptions
  • Output to SmartSearch

13
Large Hospital Patient Billing
  • Automate Explanation of Benefits (EOB)
  • Bank lockbox scans all EOBs to TIFF
  • Automated Script Manager routines imports TIFF
    files for index into document management (DM)
  • If there are less than six (6) accounts per EOB,
    a data entry clerk keys in the index information
    in MVF
  • If there are more than ten (10) accounts, no
    index fields are entered and full page OCR with
    content search is enabled. This can take in
    upwards of 2 minutes per EOB to full page OCR
  • Currently there are seven people indexing into
    the DM system full time. There is a considerable
    backlog of work. It is estimated another 9 people
    are necessary to catch up with the backlog.
  • The EOBs are manually entered in MS4
  • Manual quality control is then performed to
    ensure lockbox report matches the documents and
    MS4 entries

14
Hard Cost ROI
  • EOB index time of each acct 0.5 hour
  • Validation time of each acct 1.5 min
  • Batch size 20-30 accounts
  • Number of batches per day 40-110
  • Percentage of batches OCRd 30
  • Conservative Estimate
  • Hours spent indexing per day 400
  • Number of employees required 50
  • Hard cost EOB indexing 8,000 per day or
    160,000 per month
  • Estimate based on staff of seven 1,120 per day
    or 22,400 per month
  • OCR hours per day 8 hr
  • Validation per day 20hr
  • !!Paradatec ROI less than 2 months!!

15
  • For more information
  • Brent Wesler
  • VP of Business Development
  • Office 1 203-789-8791 ext.119
  • Mobile 1 203-752-6858
  • bwesler_at_square-9.com
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