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

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

Abstract Background Shift work is essential for nurses and is the backbone of the healthcare workforce. Addressing the challenges associated with time-consuming scheduling is crucial for ensuring nurses’ work quality, optimal staffing levels, and increased job satisfaction. We compared the work qual...

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Bibliographic Details
Main Authors: Hye Won Kang, Jiyoung Kim, Kyoung Ja Kim, Eun Kyoung Bae, Heesuk Kang, Jeong Hee Jang, Whasuk Choe
Format: Article
Language:English
Published: BMC 2025-07-01
Series:BMC Nursing
Subjects:
Shift work schedule
Nurse
Perception
Job satisfaction
Artificial intelligence
Online Access:https://doi.org/10.1186/s12912-025-03470-6
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