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A Children’s Hospital of Orange County (CHOC) team has been selected to be part of a national study that will use natural language processing (NLP) models to extract patient information from clinical notes in electronic health records (EHRs) in an effort to develop scalable methodologies for using machine learning and NLP to fill gaps in knowledge in pharmacoepidemiology studies.
As a use case, this analysis involves borrowing select methods from an existing study that examined the potential relationship between an asthma medication and mental health effects with a key difference, i.e., integrating more complete information using NLP on clinical notes from multiple health systems in addition to EHR and claims data.
Funded by the U.S. Food and Drug Administration through the Sentinel Innovation Center, the project is the latest example of how AI may be used to enhance healthcare studies using real-world data.