Using Natural Language Processing to Identify Adverse Drug Events of Angiotensin Converting Enzyme Inhibitors

An OMNY Health™ Poster

Natural language processing (NLP) is a potential mechanism for identifying adverse drug events (ADEs) with better efficiency and accuracy.

On June 9-11, 2021, this poster was presented at the International Forum on Quality and Safety in Healthcare EUROPE.

Discussion and Conclusions:

  • This specific NLP system successfully identified several classes of ADEs among patients exposed and not exposed to ACE-I therapy.
  • Analyses in progress include (1) assessing additional ICD-10 codes positively correlated with ACE-I use; (2) incorporating structured data to reduce confounder effects; and (3) using a larger sample.
  • NLP systems for identifying ADEs from clinical text have great potential; to gain widespread adoption, they must first be properly validated against established clinical knowledge.

Check Out More Events & Webinars…

GO

Contact Us

Reach out to us for more information about OMNY Health, our platform, and our mission.

Sign up for Our Newsletter

Sign up now to receive our newsletter in the future with OMNY Health updates and industry insights.

By continuing to use the site, you agree to the use of cookies. More information.

The cookie settings on this website are set to "allow cookies" to give you the best browsing experience possible. If you continue to use this website without changing your cookie settings or you click "Accept" below, then you are consenting to this.

Close