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

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.

Managing lower urinary tract symptoms in primary care: qualitative study of GPs' and patients' experiences.

Background: Lower urinary tract symptoms (LUTS) are common in males aged ≥40 years and have a considerable impact on quality of life. Management can be complex, and although most LUTS could be treated effectively in primary care, referrals to urology outpatients are increasing.

Aim: To explore GPs' experiences of managing LUTS together with patients' experiences of and preferences for treatment in primary care.

Conducting invasive urodynamics in primary care: qualitative interview study examining experiences of patients and healthcare professionals.

Background: Invasive urodynamics is used to investigate the causes of lower urinary tract symptoms; a procedure usually conducted in secondary care by specialist practitioners. No study has yet investigated the feasibility of carrying out this procedure in a non-specialist setting. Therefore, the aim of this study was to explore, using qualitative methodology, the feasibility and acceptability of conducting invasive urodynamic testing in primary care.