https://store-images.s-microsoft.com/image/apps.19379.0291feb9-3a5e-478d-a536-d637453cc8cd.b6f2c3c4-fb36-486e-9e58-a0aa085bca6b.491b21e6-553e-474f-b28f-225dfcdcede8

Omnitive Extract - Medical Claims

Taiger Singapore Pte Ltd
Extract information from medical claims quickly and accurately.
https://store-images.s-microsoft.com/image/apps.29209.0291feb9-3a5e-478d-a536-d637453cc8cd.b6f2c3c4-fb36-486e-9e58-a0aa085bca6b.b2bead9e-ddd5-4cf4-89b9-c6819c945e7a
/images/videoOverlay.png
https://store-images.s-microsoft.com/image/apps.29209.0291feb9-3a5e-478d-a536-d637453cc8cd.b6f2c3c4-fb36-486e-9e58-a0aa085bca6b.b2bead9e-ddd5-4cf4-89b9-c6819c945e7a
/images/videoOverlay.png
https://store-images.s-microsoft.com/image/apps.61540.0291feb9-3a5e-478d-a536-d637453cc8cd.c512256d-da0a-45da-964b-5bc33319f540.565c1b0e-fa5c-44c3-9f3a-f69e33c0ea3c
https://store-images.s-microsoft.com/image/apps.49798.0291feb9-3a5e-478d-a536-d637453cc8cd.c512256d-da0a-45da-964b-5bc33319f540.203fb51d-4c91-41da-a323-d7d4c7de4b3f
https://store-images.s-microsoft.com/image/apps.33122.0291feb9-3a5e-478d-a536-d637453cc8cd.c512256d-da0a-45da-964b-5bc33319f540.0a2058ef-5a7e-4b01-8771-f33914ea855c

Omnitive Extract - Medical Claims

Taiger Singapore Pte Ltd

Extract information from medical claims quickly and accurately.

Extract is an Intelligent Reading tool that can read, understand and derive information from complex, unstructured data in any language or format. Using our proprietary Cleansing, Classification, Optical Character Recognition and Natural Language Processing capabilities, Omnitive Extract works well with both Hard-Copy (Scanned or Photo) and Soft-Copy documents. It processes heaps of document types to extract information that is most relevant to your business. In the past, we have process simple, Structured Documents (Ex. Passports),  Semi-Structured Documents (Ex. Invoices), and Unstructured Documents (Ex. Annual Reports or Legal Documents) with >80% accuracy. 


What is this solution? 

When it comes to processing personal insurance claims, it is typically one of the most time-consuming tasks to manually validate the information contained across the documents. To add on to the challenge, the processing window is typically short to keep up with market expectations. To facilitate this, TAIGER has trained Extract to pick up important data from both Singapore medical invoices (MI) and medical certificates (MC).


What should I expect?

The client whom we have implemented this project for has experienced* the following:

  • 100% business rule accuracy
  • 78% accuracy level in system performance
  • 33% average time saved for processing (document accuracy)

* Note that every client’s experience differs, and the above figures are for references and not a commitment in any form.


The system is trained to extract the data points from medical invoice and medical certificates, if the data is present on the document. The following are the data points that the system is trained to extract:

  • Medical Invoice

    • Receipt/Invoice Number

    • Claim Amount

    • Receipt/Invoice Date

  • Medical Certificate

    • MC Number

    • Clinic Name

    • Start and End Date


Reach out to the TAIGER team if you encounter any issues with the extraction or if you wish to understand how our technology works.


https://store-images.s-microsoft.com/image/apps.29209.0291feb9-3a5e-478d-a536-d637453cc8cd.b6f2c3c4-fb36-486e-9e58-a0aa085bca6b.b2bead9e-ddd5-4cf4-89b9-c6819c945e7a
/images/videoOverlay.png
https://store-images.s-microsoft.com/image/apps.29209.0291feb9-3a5e-478d-a536-d637453cc8cd.b6f2c3c4-fb36-486e-9e58-a0aa085bca6b.b2bead9e-ddd5-4cf4-89b9-c6819c945e7a
/images/videoOverlay.png
https://store-images.s-microsoft.com/image/apps.61540.0291feb9-3a5e-478d-a536-d637453cc8cd.c512256d-da0a-45da-964b-5bc33319f540.565c1b0e-fa5c-44c3-9f3a-f69e33c0ea3c
https://store-images.s-microsoft.com/image/apps.49798.0291feb9-3a5e-478d-a536-d637453cc8cd.c512256d-da0a-45da-964b-5bc33319f540.203fb51d-4c91-41da-a323-d7d4c7de4b3f
https://store-images.s-microsoft.com/image/apps.33122.0291feb9-3a5e-478d-a536-d637453cc8cd.c512256d-da0a-45da-964b-5bc33319f540.0a2058ef-5a7e-4b01-8771-f33914ea855c