Health Analytics

doi:10.1002/9781119174639.ch9

Cited by 1 publication

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“…Medical AI is based on intelligent algorithms and techniques, such as machine learning, representational learning, and deep learning, to attain the auxiliary diagnosis, risk prediction, disease triage, health management and hospital management, and other functions of the application (He et al, 2019). Medical AI technology adopted by nurses could enhance work efficiency and accuracy (Qin et al, 2017;Vockley, 2017) and improve hospital management (Griffin et al, 2016). Kuo et al (2012) stated that one of the prerequisites for maximizing the value of medical AI is that nurses should make full use of it or carry out innovation, such as improving, adjusting, or extending AI technology.…”

Section: Introductionmentioning

confidence: 99%

Leaders' innovation expectation and nurses' innovation behaviour in conjunction with artificial intelligence: The chain mediation of job control and creative self‐efficacy

Cheng

2022

J Nursing Management

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Aim The aim of this work is to investigate the influence of leaders' innovation expectation on nurses' innovation behaviour in conjunction with artificial intelligence, as well as explore the chain mediating effect of job control and creative self‐efficacy between leaders' innovation expectation and nurses' innovation behaviour. Background The nurses' innovation behaviour is crucial in promoting medical artificial intelligence. Thus, clarifying the influencing factors of nurses' innovation behaviour has become a priority. Methods A cross‐sectional survey was conducted with 263 Chinese nurses from tertiary hospitals and secondary hospitals in Hefei, Anhui province. Results Leaders' innovation expectation was positively related to nurses' innovation behaviour. Creative self‐efficacy and job control respectively mediated the relationship between leaders' innovation expectation and nurses' innovation behaviour. Furthermore, creative self‐efficacy and job control played a chain mediation role between leaders' innovation expectation and nurses' innovation behaviour. Conclusion Leaders' innovation expectation helps to enhance nurses' creative self‐efficacy and job control, thereby enhancing nurses' enthusiasm for innovation. Implications for Nursing Management Hospital managers and leaders formulate intervention measures to increase leaders' innovation expectation, nurses' creative self‐efficacy and job control, and encourage nurses' innovation behaviour.

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Section: Introductionmentioning

confidence: 99%

Leaders' innovation expectation and nurses' innovation behaviour in conjunction with artificial intelligence: The chain mediation of job control and creative self‐efficacy

Cheng

2022

J Nursing Management

View full text Add to dashboard Cite

show abstract

Health Analytics

Cited by 1 publication

References 25 publications

Leaders' innovation expectation and nurses' innovation behaviour in conjunction with artificial intelligence: The chain mediation of job control and creative self‐efficacy

Leaders' innovation expectation and nurses' innovation behaviour in conjunction with artificial intelligence: The chain mediation of job control and creative self‐efficacy

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