Shift nurses’ work quality and job satisfaction after implementing the Inha University hospital nursing AI scheduling system (IH-NASS)

Authors

Hee Young Kang (ORCID: https://orcid.org/0000-0001-8697-4292)
Heesuk Kang
Wonho Choe (ORCID: https://orcid.org/0000-0002-8952-8252)
Kyoung Ja Kim
Jae‐Won Jang (ORCID: https://orcid.org/0000-0003-3540-530X)
Jiyoung Kim (ORCID: https://orcid.org/0000-0002-0210-2591)
Eun Kyoung Bae

Institutions

Inha University (KR)
Inha University Hospital (KR)

Publication Details

Journal: BMC Nursing
Published: 2025-07-01
DOI: https://doi.org/10.1186/s12912-025-03470-6
Citations: 7
Primary Topic: Sleep and Work-Related Fatigue
Type: article
Field-Weighted Citation Impact: 14.83

Funders

Inha University
National IT Industry Promotion Agency
Inha University Hospital

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article

Shift nurses’ work quality and job satisfaction after implementing the Inha University hospital nursing AI scheduling system (IH-NASS)

Hee Young Kang, Heesuk Kang, Wonho Choe, Kyoung Ja Kim et al.

Jul 1, 2025

7 citations

BMC Nursing

Sleep and Work-Related Fatigue

14.83

article

Shift nurses’ work quality and job satisfaction after implementing the Inha University hospital nursing AI scheduling system (IH-NASS)

Hee Young Kang, Heesuk Kang, Wonho Choe, Kyoung Ja Kim, Jae‐Won Jang, Jiyoung Kim, Eun Kyoung Bae

July 1, 2025article en

7 citations

Abstract

No abstract available for this paper.

BMC NursingVol. 24(1)

Inha University (KR), Inha University Hospital (KR)

Inha University, National IT Industry Promotion Agency, Inha University Hospital

Decent work and economic growth

Openalex Percentile: Top 1%

Sleep and Work-Related Fatigue

14.83

DOI Open Access PDF OpenAlex

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