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Information Extraction with TeSSI® Extraction Engine

Usually when healthcare workers are reviewing patient data in free text documents, they are looking for very specific and discrete pieces of information such as problems, allergies, or current medications. This seemingly simple task is not easy as it should be due to the following characteristics of typical free text documentation:
  • They often contain superfluous information that is not relevant to the knowledge the reader currently needs;
  • They are often quite long with the desired information spread throughout the document;
  • Differences in style among doctors can lead to inconsistent structure and granularity of details in the document;
  • Their are multiple documents in which the desired information is located.

All of these issues can be addressed with an automated and "domain-knowledgable" Information Extraction (IE) tool. L&C’s IE technology automatically extracts discrete data from free text to a format dictated by the application. Using both syntactic and semantic information, IE can "fill-in the blanks" of pre-configured templates with the required relevant information hidden inside of free text documents.

Discharge Summary  -- Free Text

original free text
discharge summary

Results of the free text abstraction using NLP

resulting template with
extracted information


TeSSi Indexing   TeSSi Search

 

 
 

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