Academic Journal
Artificial intelligence in home-based serious illness care: a scoping review of applications supporting quality palliative care.
| Τίτλος: | Artificial intelligence in home-based serious illness care: a scoping review of applications supporting quality palliative care. |
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| Συγγραφείς: | Xiao C; College of Nursing, University of Tennessee-Knoxville, Knoxville, TN, USA., Nakhmani A; Department of Electrical and Computer Engineering, University of Alabama at Birmingham, Birmingham, AL, USA., Thapa A; College of Nursing, University of Tennessee-Knoxville, Knoxville, TN, USA., Kopecky K; Department of Surgery, University of Alabama at Birmingham, Birmingham, AL, USA., Anderson JG; College of Nursing, University of Tennessee-Knoxville, Knoxville, TN, USA., Davis RL; The University of Tennessee Health Science Center, College of Medicine, Memphis, TN, USA., Wyatt TH; College of Nursing, University of Tennessee-Knoxville, Knoxville, TN, USA., Cobb N; University Libraries, University of Tennessee-Knoxville, Knoxville, TN, USA., Brown CJ; Department of Medicine, Louisiana State University Health Sciences Center, New Orleans, LA, USA., Odom JN; School of Nursing, University of Alabama at Birmingham, Birmingham, AL, USA., Bechthold AC; College of Nursing, University of Tennessee-Knoxville, Knoxville, TN, USA. |
| Πηγή: | Annals of palliative medicine [Ann Palliat Med] 2026 May; Vol. 15 (3), pp. 48. |
| Τύπος έκδοσης: | Scoping Review; Journal Article |
| Γλώσσα: | English |
| Στοιχεία περιοδικού: | Publisher: AME Publishing Company Country of Publication: China NLM ID: 101585484 Publication Model: Print Cited Medium: Internet ISSN: 2224-5839 (Electronic) Linking ISSN: 22245820 NLM ISO Abbreviation: Ann Palliat Med Subsets: MEDLINE |
| Imprint Name(s): | Original Publication: Hong Kong : AME Publishing Company |
| Ιατρικοί όροι (MeSH): | Palliative Care*/methods , Home Care Services*/organization & administration , Artificial Intelligence* , Critical Illness*, Caregivers/psychology ; Humans ; Self Care ; Quality of Health Care |
| Περίληψη: | Background: Artificial intelligence (AI) has emerged as a promising tool to address gaps in palliative care access and delivery for adults with serious illness and their family caregivers, particularly in home-based settings where access to specialty care is limited. AI-driven tools, including machine learning, natural language processing, and decision-support systems may enable proactive, personalized, and efficient approaches to addressing several domains of quality palliative care, as defined by the National Consensus Project (NCP), including continuity of care, symptom relief, emotional support, and family caregiver assistance. This scoping review aimed to systematically map the evidence on AI applications designed to assist home-based care for adults with serious illness and their family caregivers, with a focus on their potential role in enhancing palliative care delivery. Methods: Six databases were searched from inception to August 2025 using terms related to AI, serious illness, home care, self-care, and caregiving. Eligible studies included peer-reviewed empirical research among adults (≥18 years) with serious illness and/or family caregivers, focusing on AI as a tool to support home-based self-care or caregiver contributions to self-care. Results: Of 1,791 articles screened, 24 met inclusion criteria. Qualitative content analysis identified six themes: (I) personalization and contextual adaptation; (II) multimodal and accessible interfaces; (III) emotional and relational dimensions; (IV) predictive and proactive care; (V) daily routines and care ecosystems; and (VI) equity and access. Personalization emerged as a critical feature, with culturally tailored AI tools improving trust and usability. Limitations of the evidence are that most studies emphasized feasibility, usability, and user experience, over clinical or psychosocial outcomes, limiting insight into AI's real-world impact on palliative care. Evidence was further constrained by heterogeneous designs, language restrictions, and the scarcity of research published in palliative care journals, highlighting the need for more rigorous, context-specific studies. Conclusions: Findings underscore AI's capacity to address core components of palliative care, including predicting and managing symptoms and addressing psychosocial needs. However, the evidence base remains early-stage. Future research should prioritize rigorous evaluation of clinical and psychosocial outcomes, along with co-design with patients, caregivers, and clinicians to ensure alignment between AI innovation and core principles of palliative care. |
| Contributed Indexing: | Keywords: Technology-based care; caregiving; palliative care; self-care; supportive care |
| Entry Date(s): | Date Created: 20260611 Date Completed: 20260612 Latest Revision: 20260612 |
| Update Code: | 20260613 |
| DOI: | 10.21037/apm-2025-1-139 |
| PMID: | 42273820 |
| Βάση Δεδομένων: | MEDLINE |
| ISSN: | 2224-5839 |
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| DOI: | 10.21037/apm-2025-1-139 |