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NLP Applications in Healthcare

How Can NLP Solve Data Challenges in Healthcare?

A virtual discussion of clinical use cases where applying Natural Language Processing (NLP) can save time and improve consistency.

Discussion Topics:

The COVID-19 pandemic has increased the urgency for clinical researchers and other healthcare professionals to get fast, reliable and accurate access to disease data. This webinar presented the Inspirata team's use of NLP to extract clinical concepts out of the COVID-19 Open Research Dataset (CORD-19). 

The webinar also covered two other clinical use cases where Inspirata's NLP engine excels:

  • Cancer Reporting: NLP can interpret the text of diagnostic reports, by determining context and applying specialized domain knowledge, to identify reportable cancer cases in seconds.
  • Cancer Case Data Abstraction: NLP can abstract for regulatory, quality monitoring or care planning purposes hundreds of data elements per case, related to patient demographics, clinical history, tumor characterization, chemotherapy, and treatment pathway.

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