Artificial intelligence and large language models in palliative medicine clinical practice and education

Taubert, Mark ORCID: https://orcid.org/0000-0003-0454-5609, Hackett, Robyn and Tavabie, Simon 2024. Artificial intelligence and large language models in palliative medicine clinical practice and education. BMJ Supportive & Palliative Care 10.1136/spcare-2024-005217

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Abstract

As we approach 2034, we anticipate significant advancements in digital technologies and their impact across various domains, including palliative and end-of-life care and perhaps higher education more generally. Predicting technological breakthroughs, especially in the realm of artificial intelligence (AI), is notoriously difficult. In a sense, you might need an AI to do this effectively. While some digital challenges can surprise us, others prove more elusive than expected. For example, AI’s ability to be creative with language and comprehension has been genuinely remarkable and will likely be of interest to those whose ‘bread and butter’ at work is communication. Similarly, those who teach skills required of clinicians in palliative and end-of-life care, including breaking bad news and nuanced conversations around holistic complexity and treatment preferences are likely to see significant changes and shifts in their practice.

Item Type:	Article
Date Type:	Published Online
Status:	In Press
Schools:	Medicine
Publisher:	BMJ Publishing Group
ISSN:	2045-435X
Date of Acceptance:	3 October 2024
Last Modified:	03 Dec 2024 15:00
URI:	https://orca.cardiff.ac.uk/id/eprint/174290

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