ArticleBJPsych bulletin2025
Natural language processing application to identify covert administration of medicines: development and pilot audit.
Article in BJPsych bulletin, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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5 authors.
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Abstract
AIMS AND
methodThe covert administration of medicines is associated with multiple legal and ethical issues. We aimed to develop a natural language processing (NLP) methodology to identify instances of covert administration from electronic mental health records. We used this NLP method to pilot an audit of the use of covert administration.
resultsWe developed a method that was able to identify covert administration through free-text searching with a precision of 72%. Pilot audit results showed that 95% of patients receiving covert administration ( CLINICAL IMPLICATIONS: We demonstrate a simple, readily deployable NLP method that has potential wider applicability to other areas. This method also has potential to be applied via real-time health record processing to prompt and facilitate active monitoring of covert administration of medicines.
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