Artificial intelligence-powered predictive tools to improve end-of-life decision-making: mini-review
Background Uncertainty around a patient’s prognosis at the end of life remains a major barrier to timely palliative-care involvement and alignment of treatments with patient goals. Artificial ...
3 Marie Curie Palliative Care Research Unit, UCL Mental Health Sciences Unit, London, UK 4 Department of Old Age Psychiatry, Central and North West London NHS Foundation Trust, Park Royal Centre for ...
Objectives To study changes in the peer consultation practice of assessing assisted dying requests and its quality among trained ‘Life End Information Forum’ (LEIF) consultants in Belgium between 2008 ...
Background ‘Bill’ was in his early 40s. Admitted from home to the hospice for symptom assessment and end of life care. A former IV drug user on a methadone programme with support from the Drugs and ...
Background It is essential that the physical environments in which inpatient palliative care is provided support the needs of patients and the facilitate the multidimensional delivery of palliative ...
Objective To explore the emotional experience of physicians in acute settings when encountering end-of-life conversations and decision making. Method Thematic synthesis of qualitative studies. Medline ...
Background Children with life-limiting conditions often have complex needs, making it challenging for services to provide satisfactory care. Few studies consider whether services actually meet ...
Background During 2022 we realised that we needed to standardise our approach to managing the referrals received to the specialist palliative care team in the acute hospital trust. This was something ...
Correspondence to Dr Richard James, Public Health, Leeds Teaching Hospitals NHS Trust, Leeds LS97TF, UK; richard.james14{at}nhs.net Introduction People who are homeless or vulnerably housed are ...
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