Convert unstructured medical data for smarter analytics and reporting

Automatically transform unstructured data efficiently and without errors

How it works?

The Plain-Text to FHIR/CCDA Converter solution offers a fast and reliable way to convert unstructured 'text' data into structured objects.

 

The solution processes TXT or HL7 messages with relevant TX/NTE segments to extract useful information (e.g. patient medical history, claims, etc.) and then to encode it based on the range/format of measurements.
 

The extracted data points are provided as CCDA or FHIR, with original text referred to as a source. Non-digitized documents can be processed after scanning and OCR.

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  • No code or templates to maintain

  • Automatic text annotation tool

  • Convert and work with TXT files, HL7 TX, or NTE segments

  • Secure, scalable, and customizable

  • Easy integration through RESTful API

Key Features

Key Benefits

How to deploy our software products?

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