Cancer information extraction from pathology reports using CLAMP

Key Points

  1. 80% detailed patient information is embedded in narrative text of Electronic Health Records (EHRs), which needs natural language processing (NLP) techniques to extract and analysis.
  2. Current health NLP systems are using the “one size fits all” approach, which does not meet the customization need by end users.
  3. What motivates the design and development of the CLAMP software is to provide customizable, transportable, enterprise-level clinical NLP solutions.