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Perceptions of registered nurses on facilitators and barriers of implementing the AI-IoT-based healthcare pilot project for older adults during the COVID-19 pandemic in South Korea
Open accessAbstract
Objective: This study explored the perceptions of registered nurses on the facilitators and barriers to implementing an AI/IoT (Artificial Intelligence/Internet of Things)-based healthcare pilot project, designed to prevent frailty and improve health behaviors by providing Bluetooth-enabled smart devices (including blood pressure and blood glucose meters) for the older adults aged over 65 years and above in South Korea. Methods: Using a qualitative descriptive methodology, interviews and qualitative surveys were conducted with 15 registered nurses from 11 public health centers. Data were analyzed using qualitative content analysis. Results: The study found that the AI·IoT-based healthcare pilot project was well received by participants, leading to increased client satisfaction and improved health behaviors. Government support and funding were crucial facilitators of project implementation. However, technical challenges and disparities in digital literacy among older adults pose significant barriers. Conclusion: The findings highlight the potential of AI·IoT technologies in improving the healthcare of older adults. Efforts to address technological challenges and enhance digital literacy among vulnerable populations are necessary for successfully implementing such interventions. Government support and ongoing training for healthcare professionals can help optimize the AI·IoT-based healthcare services for older adults.
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“Healthcare professionals would prefer to see themselves as retaining the overall control of the treatment process of their patients and that AI is used as a decision-support and not a replacement [36, 39, 44, 45], while also acknowledging that AI can also serve as a tool for educational purposes [38] and can lead to more self-assurance in their decisions [43].”
From Healthcare professionals’ perspectives on artificial intelligence in patient care: a systematic review of hindering and facilitating factors on different levels (2025) · cites this paper as [43]
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References 27 · Cited by 17
Research works printed but not linked: 27
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Metadata
- Authors
- Boo, S., & Oh, H.
- Affiliations
- Gachon University (KR)
- Corresponding author
- Oh, Hyunjin
- Venue
- Frontiers in Public Health
- Publisher
- Frontiers Media SA
- Published
- 2023-10-10
- Volume
- 11
- Pages
- 1234626-1234626
- ISSN
- 2296-2565 (ISSN-L)
- PMC
- PMC10598465
- OpenAlex
- W4387495276
- Cited by
- 17
- References
- 27
- Citations by year
- 2026: 4 · 2025: 8 · 2024: 5
- FWCI
- 9.90
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Licence
- Locations
- Frontiers in Public Health (publishedVersion, cc-by)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
- Topics
- Health Sciences › Medicine › Geriatrics and Gerontology › Technology Use by Older Adults
- Health Sciences › Medicine › Public Health, Environmental and Occupational Health › Telemedicine and Telehealth Implementation
- Social Sciences › Health › Social Policies and Healthcare Reform
- Keywords
- artificial intelligence, Internet of Things, older adults, frailty prevention, health behavior, remote blood pressure monitoring, digital literacy, implementation barriers, implementation facilitators, registered nurses' perceptions, COVID-19 pandemic, government support, public health centers, South Korea
- MeSH terms
- COVID-19, Aged, Artificial Intelligence, Humans, Nurses, Pilot Projects, Patient Satisfaction, Republic of Korea, Pandemics
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