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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

Bibliographic Data

ID22069173
AuthorsSunjoo Boo (0000-0002-0402-614X), Hyunjin Oh (0000-0003-3756-8962, Gachon University, corresponding author)
Year2023
Volume11
Pages1234626-1234626
Publication date2023-10-10
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueFrontiers in Public Health (JOURNAL)
Journal identifiersISSN: 2296-2565 • E-ISSN: 2296-2565
PublisherFrontiers Media SA (PUBLISHER • CH)
DOI10.3389/fpubh.2023.1234626
PMID37886046
OpenAlexW4387495276
LanguageEN
References cited29

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

eHealth · Health care · Medical education · Pandemic · Political science · Psychological intervention · Qualitative research · Telemedicine · Artificial Intelligence in Healthcare and Education · Medicine · Mobile Health and mHealth Applications · Nursing · Technology Use by Older Adults

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