Natural language processing application to identify covert administration of medicines: development and pilot audit
Aims and method The 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...
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| Format: | Article |
| Language: | English |
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Cambridge University Press
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| Series: | BJPsych Bulletin |
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| Online Access: | https://www.cambridge.org/core/product/identifier/S2056469425000282/type/journal_article |
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| _version_ | 1849387376117284864 |
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| author | Ninoslav Majkic Jyoti Sanyal Robert Stewart Nicola Funnell Delia Bishara |
| author_facet | Ninoslav Majkic Jyoti Sanyal Robert Stewart Nicola Funnell Delia Bishara |
| author_sort | Ninoslav Majkic |
| collection | DOAJ |
| description |
Aims and method
The 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.
Results
We 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 (n = 41/43) had evidence of a completed mental capacity assessment and best interests meeting. Pharmacy was contacted for information about administration for 77% of patients.
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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| format | Article |
| id | doaj-art-791ba242f38a4beba67ff0a80e56d9a5 |
| institution | Kabale University |
| issn | 2056-4694 2056-4708 |
| language | English |
| publisher | Cambridge University Press |
| record_format | Article |
| series | BJPsych Bulletin |
| spelling | doaj-art-791ba242f38a4beba67ff0a80e56d9a52025-08-20T03:53:51ZengCambridge University PressBJPsych Bulletin2056-46942056-47081510.1192/bjb.2025.28Natural language processing application to identify covert administration of medicines: development and pilot auditNinoslav Majkic0https://orcid.org/0000-0003-2459-2971Jyoti Sanyal1Robert Stewart2https://orcid.org/0000-0002-4435-6397Nicola Funnell3Delia Bishara4https://orcid.org/0000-0002-6254-2054South London and Maudsley NHS Foundation Trust, London, UKCentre for Translational Informatics, Institute of Psychiatry, Psychology & Neuroscience, King’s College London, London, UKMental Health for Older Adults and Dementia Clinical Academic Group, South London and Maudsley NHS Foundation Trust, London, UK Institute of Psychiatry, Psychology & Neuroscience, King’s College London, London, UKMental Health for Older Adults and Dementia Clinical Academic Group, South London and Maudsley NHS Foundation Trust, London, UKMental Health for Older Adults and Dementia Clinical Academic Group, South London and Maudsley NHS Foundation Trust, London, UK Department of Psychology, Institute of Psychiatry, Psychology & Neuroscience, King’s College London, London, UK Aims and method The 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. Results We 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 (n = 41/43) had evidence of a completed mental capacity assessment and best interests meeting. Pharmacy was contacted for information about administration for 77% of patients. 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. https://www.cambridge.org/core/product/identifier/S2056469425000282/type/journal_articleConsent and capacitynatural language processinghealth informaticsold age psychiatrydementias/neurodegenerative diseases |
| spellingShingle | Ninoslav Majkic Jyoti Sanyal Robert Stewart Nicola Funnell Delia Bishara Natural language processing application to identify covert administration of medicines: development and pilot audit BJPsych Bulletin Consent and capacity natural language processing health informatics old age psychiatry dementias/neurodegenerative diseases |
| title | Natural language processing application to identify covert administration of medicines: development and pilot audit |
| title_full | Natural language processing application to identify covert administration of medicines: development and pilot audit |
| title_fullStr | Natural language processing application to identify covert administration of medicines: development and pilot audit |
| title_full_unstemmed | Natural language processing application to identify covert administration of medicines: development and pilot audit |
| title_short | Natural language processing application to identify covert administration of medicines: development and pilot audit |
| title_sort | natural language processing application to identify covert administration of medicines development and pilot audit |
| topic | Consent and capacity natural language processing health informatics old age psychiatry dementias/neurodegenerative diseases |
| url | https://www.cambridge.org/core/product/identifier/S2056469425000282/type/journal_article |
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