Investigating Data Diversity and Model Robustness of AI Applications in Palliative Care and Hospice: Protocol for Scoping Review

Investigating Data Diversity and Model Robustness of AI Applications in Palliative Care and Hospice: Protocol for Scoping Review

Artificial intelligence (AI) has become a pivotal element in health care, leading to significant advancements across various medical domains, including palliative care and hospice services. These services focus on improving the quality of life for patients with life-limiting illnesses, and AI's...

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Bibliographic Details
Published in:JMIR research protocols Vol. 13; p. e56353
Main Authors: Bozkurt, Selen, Fereydooni, Soraya, Kar, Irem, Diop Chalmers, Catherine, Leslie, Sharon L, Pathak, Ravi, Walling, Anne, Lindvall, Charlotta, Lorenz, Karl, Quest, Tammie, Giannitrapani, Karleen, Kavalieratos, Dio
Format: Journal Article
Language:English
Published: Canada JMIR Publications 08-10-2024
Subjects:
Artificial Intelligence
Ethics
Grey literature
Hospice care
Hospice Care - methods
Humans
Illnesses
Inclusion
Medical research
Medical technology
Multimedia
Palliative care
Palliative Care - methods
Patients
Protocol
thematic analysis
model robustness
AI
data diversity
decision support
palliative care
artificial intelligence
hospice environments
dissemination
clinical settings
hospice
ethical frameworks
methodology
end-of-life care
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Summary:Artificial intelligence (AI) has become a pivotal element in health care, leading to significant advancements across various medical domains, including palliative care and hospice services. These services focus on improving the quality of life for patients with life-limiting illnesses, and AI's ability to process complex datasets can enhance decision-making and personalize care in these sensitive settings. However, incorporating AI into palliative and hospice care requires careful examination to ensure it reflects the multifaceted nature of these settings. This scoping review aims to systematically map the landscape of AI in palliative care and hospice settings, focusing on the data diversity and model robustness. The goal is to understand AI's role, its clinical integration, and the transparency of its development, ultimately providing a foundation for developing AI applications that adhere to established ethical guidelines and principles. Our scoping review involves six stages: (1) identifying the research question; (2) identifying relevant studies; (3) study selection; (4) charting the data; (5) collating, summarizing, and reporting the results; and (6) consulting with stakeholders. Searches were conducted across databases including MEDLINE through PubMed, Embase.com, IEEE Xplore, ClinicalTrials.gov, and Web of Science Core Collection, covering studies from the inception of each database up to November 1, 2023. We used a comprehensive set of search terms to capture relevant studies, and non-English records were excluded if their abstracts were not in English. Data extraction will follow a systematic approach, and stakeholder consultations will refine the findings. The electronic database searches conducted in November 2023 resulted in 4614 studies. After removing duplicates, 330 studies were selected for full-text review to determine their eligibility based on predefined criteria. The extracted data will be organized into a table to aid in crafting a narrative summary. The review is expected to be completed by May 2025. This scoping review will advance the understanding of AI in palliative care and hospice, focusing on data diversity and model robustness. It will identify gaps and guide future research, contributing to the development of ethically responsible and effective AI applications in these settings. DERR1-10.2196/56353.
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ISSN:1929-0748
1929-0748
DOI:10.2196/56353