Use of Artificial Intelligence‐Driven Wound Care Management to Enhance Access to Care Rural and Northern Communities

Wound care remains a high-priority area for improvement in the Canadian health care system. Older adults aged 65 and older are disproportionately affected by chronic and non-healing wounds and often experience multiple co-morbid conditions, challenges which can be further complicated by living in rural and northern areas. A workshop-based multi-methods study was conducted to describe rural and northern perspectives on opportunities and feasibility to implement innovative wound care technologies. Each workshop included pre- and post- workshop surveys, a live demonstration of Swift Skin and Wound, a Q&A session, and facilitated discussion exploring the technology's feasibility, usability, and accessibility in northern and rural care contexts. Participants who volunteered for the study included care staff and healthcare executives (N = 11), described their perspectives on implementing AI-driven digital wound care management solutions with a focus on integration into health care settings. Three themes were identified including: confidence and optimism in improving wound care management, recognition of the superiority of AI-driven digital wound care solutions over current practices, and the importance of adaptable change processes for successful adoption. While generalizability may be limited, findings suggest that adopting AI-driven wound care tools could improve wound assessment accuracy and streamline care for aging populations in rural and northern areas.

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Publication Details

Journal
International Wound Journal
Published
2025-09-23
DOI
https://doi.org/10.1111/iwj.70767
Citations
1
Primary Topic
Wound Healing and Treatments
Type
article
Field-Weighted Citation Impact
1.03
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article

Use of Artificial Intelligence‐Driven Wound Care Management to Enhance Access to Care Rural and Northern Communities

Richard McAloney, Shannon Freeman, Emma Rossnagel, Matthew Sargent et al.
1 citations
International Wound Journal
Wound Healing and Treatments
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article

Use of Artificial Intelligence‐Driven Wound Care Management to Enhance Access to Care Rural and Northern Communities

Richard McAloney, Shannon Freeman, Emma Rossnagel, Matthew Sargent, Luis Galarza
article en
1 citations

Abstract

Wound care remains a high-priority area for improvement in the Canadian health care system. Older adults aged 65 and older are disproportionately affected by chronic and non-healing wounds and often experience multiple co-morbid conditions, challenges which can be further complicated by living in rural and northern areas. A workshop-based multi-methods study was conducted to describe rural and northern perspectives on opportunities and feasibility to implement innovative wound care technologies. Each workshop included pre- and post- workshop surveys, a live demonstration of Swift Skin and Wound, a Q&A session, and facilitated discussion exploring the technology's feasibility, usability, and accessibility in northern and rural care contexts. Participants who volunteered for the study included care staff and healthcare executives (N = 11), described their perspectives on implementing AI-driven digital wound care management solutions with a focus on integration into health care settings. Three themes were identified including: confidence and optimism in improving wound care management, recognition of the superiority of AI-driven digital wound care solutions over current practices, and the importance of adaptable change processes for successful adoption. While generalizability may be limited, findings suggest that adopting AI-driven wound care tools could improve wound assessment accuracy and streamline care for aging populations in rural and northern areas.

International Wound JournalVol. 22(10)
University of Northern British Columbia (CA)
Openalex Percentile: Top 18%
Wound Healing and Treatments
1.03
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