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| Format: | Entrada de enciclopedia |
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International Labour Organization
2026
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| Online Access: | https://researchrepository.ilo.org/esploro/outputs/encyclopediaEntry/Nursing-and-artificial-intelligence-in-the/995699200602676 |
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| _version_ | 1874524906206527488 |
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| author | EunJeong Cheon (Author) Hee Rin Lee (Author) |
| author_facet | EunJeong Cheon (Author) Hee Rin Lee (Author) EunJeong Cheon (Author) Hee Rin Lee (Author) |
| contents | Nursing and artificial intelligence in the Republic of Korea: a cross-country descriptive analysis EunJeong Cheon (Author) Hee Rin Lee (Author) This paper examines the gap between what nurses need and what actually gets built, through a three-month ethnographic study at Mirae Hospital (MH) in Seoul, South Korea, combining interviews, ward observations, and participatory design workshops with hospital staff and union nurses. Our findings reveal three persistent patterns: technologies that succeeded eliminated acknowledged problems through collaborative design; technologies that failed attempted to model volitional human behavior or assumed laboratory conditions that clinical environments cannot provide; and high-impact automations that nurses explicitly requested were never developed, displaced by technically sophisticated investments aligned with institutional prestige rather than frontline need. We further show that AI adoption differs systematically between unionized and non-unionized hospitals, with union representation playing a meaningful role in ensuring AI serves workers rather than institutions. Together, these findings point to a structural problem: bedside nurses – those most directly affected by clinical AI – remain least likely to shape what gets built. Addressing this requires not only better design methods, but institutional reform in how technology priorities are set and whose needs are treated as authoritative. ILO working paper, 168, ILO 10.54394/00033429 DOI https://doi.org/10.54394/00033429; ISBN 9789220433577 publication.encyclopediaEntry |
| format | Entrada de enciclopedia |
| id | ilo_995699200602676 |
| institution | Organización Internacional del Trabajo (OIT) |
| publishDate | 2026 |
| publisher | International Labour Organization |
| spellingShingle | Nursing and artificial intelligence in the Republic of Korea: a cross-country descriptive analysis EunJeong Cheon (Author) Hee Rin Lee (Author) Nursing and artificial intelligence in the Republic of Korea: a cross-country descriptive analysis EunJeong Cheon (Author) Hee Rin Lee (Author) This paper examines the gap between what nurses need and what actually gets built, through a three-month ethnographic study at Mirae Hospital (MH) in Seoul, South Korea, combining interviews, ward observations, and participatory design workshops with hospital staff and union nurses. Our findings reveal three persistent patterns: technologies that succeeded eliminated acknowledged problems through collaborative design; technologies that failed attempted to model volitional human behavior or assumed laboratory conditions that clinical environments cannot provide; and high-impact automations that nurses explicitly requested were never developed, displaced by technically sophisticated investments aligned with institutional prestige rather than frontline need. We further show that AI adoption differs systematically between unionized and non-unionized hospitals, with union representation playing a meaningful role in ensuring AI serves workers rather than institutions. Together, these findings point to a structural problem: bedside nurses – those most directly affected by clinical AI – remain least likely to shape what gets built. Addressing this requires not only better design methods, but institutional reform in how technology priorities are set and whose needs are treated as authoritative. ILO working paper, 168, ILO 10.54394/00033429 DOI https://doi.org/10.54394/00033429; ISBN 9789220433577 publication.encyclopediaEntry |
| title | Nursing and artificial intelligence in the Republic of Korea: a cross-country descriptive analysis |
| url | https://researchrepository.ilo.org/esploro/outputs/encyclopediaEntry/Nursing-and-artificial-intelligence-in-the/995699200602676 |