Emerging Models of Care Using IT in Long-Term/Post-Acute Care: A Comparative Analysis of Human and AI-Driven Qualitative Insights.

Journal: Journal of gerontological nursing

PMID: 40163614

Abstract

PURPOSE: As the global population ages, long-term/post-acute care (LTPAC) systems face challenges in ensuring quality care for older adults with complex medical needs. Using health information technology (IT) is a promising strategy to address these challenges. However, evidence gaps remain regarding barriers and facilitators to technology integration in LTPAC. Thus, the current study explored barriers and facilitators to technology adoption in emerging models of care for older adults through the International Summit on Innovation and Technology for the Care of Older People (IS-ITCOP).

Authors

Gregory L Alexander

Columbia University School of Nursing, New York, NY, USA.
Anne Livingstone
Soojeong Han
Wendy Chapman

Department of Biomedical Informatics, University of Utah, 421 Wakara Way, Salt Lake City, 84108 UT United States.
Tracy Comans
George Demiris

Department of Biobehavioral Health Sciences, University of Pennsylvania, Philadelphia, Pennsylvania, United States.
Malcolm Fisk
Mariann Fossum
Celeste Fung
Rosemary Kennedy
Terrence A O'Malley
Marjorie Skubic

Keywords

Aged Aged, 80 and over Artificial Intelligence Female Humans Long-Term Care Male Medical Informatics Patient-Centered Care Qualitative Research Subacute Care

External Resources

View on PubMed Access via DOI PubMed (40163614)

Emerging Models of Care Using IT in Long-Term/Post-Acute Care: A Comparative Analysis of Human and AI-Driven Qualitative Insights.

Abstract

Authors

Keywords

External Resources

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