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.
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