AI in Hospice and Palliative Care

Palliative care focuses on relief of symptoms and support for people with serious illness and can be provided alongside disease-directed treatment. Hospice is a team-oriented model of care for eligible patients and families. The National Cancer Institute describes interdisciplinary hospice teams, symptom management, psychosocial support, and care coordination. These settings involve sensitive choices and changing needs, so a tool that summarizes, retrieves, or generates information must be evaluated within a human care process. AI could assist with low-risk administrative tasks or help clinicians organize information, but a generated summary can omit a symptom, misstate a medication, or flatten a patient’s preference. A conversational model may sound confident while giving unsafe or irrelevant advice. The World Health Organization warns that health LLMs can produce convincing but incorrect content, expose sensitive data, and encourage automation bias; it calls for rigorous oversight and human supervision. No AI output should independently change medication, treatment, goals-of-care documentation, or emergency response. Use only tools approved by the organization, follow privacy and recordkeeping requirements, and verify every clinical statement against the source. Ask patients and caregivers how they want technology involved, make it clear who or what is speaking, and provide a way to reach the human team. Ensure accessibility, language support, and a fallback for urgent needs. AI can help with carefully bounded work, but compassion, consent, clinical judgment, and accountability remain with people.