{"title":"Artificial intelligence and large language models in palliative medicine clinical practice and education.","authors":"Mark Taubert, Robyn Hackett, Simon Tavabie","doi":"10.1136/spcare-2024-005217","DOIUrl":null,"url":null,"abstract":"<p><p>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.</p>","PeriodicalId":9136,"journal":{"name":"BMJ Supportive & Palliative Care","volume":" ","pages":"61-64"},"PeriodicalIF":2.0000,"publicationDate":"2024-12-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"BMJ Supportive & Palliative Care","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1136/spcare-2024-005217","RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"HEALTH CARE SCIENCES & SERVICES","Score":null,"Total":0}
引用次数: 0
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.
期刊介绍：
Published quarterly in print and continuously online, BMJ Supportive & Palliative Care aims to connect many disciplines and specialties throughout the world by providing high quality, clinically relevant research, reviews, comment, information and news of international importance.
We hold an inclusive view of supportive and palliative care research and we are able to call on expertise to critique the whole range of methodologies within the subject, including those working in transitional research, clinical trials, epidemiology, behavioural sciences, ethics and health service research. Articles with relevance to clinical practice and clinical service development will be considered for publication.
In an international context, many different categories of clinician and healthcare workers do clinical work associated with palliative medicine, specialist or generalist palliative care, supportive care, psychosocial-oncology and end of life care. We wish to engage many specialties, not only those traditionally associated with supportive and palliative care. We hope to extend the readership to doctors, nurses, other healthcare workers and researchers in medical and surgical specialties, including but not limited to cardiology, gastroenterology, geriatrics, neurology, oncology, paediatrics, primary care, psychiatry, psychology, renal medicine, respiratory medicine.
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