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Why natural language processing for dementia detection is not reaching the NHS frontline.

Natural language processing could help to tackle delayed diagnosis in dementia care, allowing more patients to access services during the 'intervention window', but implementation has been slow. Ellie Koseda explores barriers to adoption of this technology and other AI-based tools, including fragmen...

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Published in:British Journal of Healthcare Management Vol. 32; no. 9; pp. 1 - 7
Main Author: Koseda, Ellie Maria
Format: Journal Article
Published: Mark Allen Holdings Limited Sep2026
Online Access:View this record in EBSCOhost
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      dt: Sep2026
      vid: 32
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      pub: Mark Allen Holdings Limited
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        atl: Why natural language processing for dementia detection is not reaching the NHS frontline.
      aug:
        au: Koseda, Ellie Maria
        affil: University of Sunderland in London, London, UK
      sug:
        subj:
          Natural Language Processing
          Dementia Diagnosis
          National Health Programs United Kingdom
          Frontline Personnel
          United Kingdom
          Electronic Health Records
          Systems Integration
          Information Retrieval
          Health Care Delivery, Integrated
          Professional Boundaries
          Health Services Accessibility
          Diffusion of Innovation
      ab: Natural language processing could help to tackle delayed diagnosis in dementia care, allowing more patients to access services during the 'intervention window', but implementation has been slow. Ellie Koseda explores barriers to adoption of this technology and other AI-based tools, including fragmented care pathways, limited interoperability and ongoing governance concerns.
      pubtype: Academic Journal
      doctype: Journal Article
      ougenre: Article
    language: English
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