Integration of artificial intelligence into nursing practice

Abstract

Background Artificial Intelligence (AI) is developing at a rapid pace and finding new applications across the health service team. Some professionals have voiced concerns over the implementation of AI, whilst others predict greater job opportunities in the future. Nursing practice will be directly affected and further information is required on the knowledge and perceptions of nurses regarding the integration of AI in practice. The study aims to assess the knowledge, attitude, willingness, and organizational readiness in integrating AI into nursing practice. Methods An exploratory cross-sectional survey of nurses working in health organisations. A survey link was emailed to participants. Nurses working in the United Arab Emirates (UAE) health organisations were invited to participate. Eligibility criteria included registered nurses in government or private hospitals. The survey captured the nurses demographic, knoweldage, preceptions, orgianizational readinesss and challenges regarding implementation of AI into nursing practice. Results 553 responses were returned from 650 invitation giving a response rate of 85%. 51% of respondents stated their knowledge on AI was obtained through self-taught measures for most of the participants, while 20% of them gained it through various courses. Only 8% stated they learned through postgraduate courses, while 9% stated they lack knowledge of AI. 75% of all respondents agreed that the nursing curriculum should include some basic knowledge of AI. Conclusions There is a lack of understanding of the principles of AI across the nursing profession. Further education and training is required to enable a seamless and safe integration of AI into nursing practice.

Advancing Health Equity Through Artificial Intelligence: An Educational Framework for Preparing Nurses in Clinical Practice and Research

“…AI encompasses an array of nursing tools aimed at bolstering patient care, streamlining health-care services, and supporting nursing professionals in their daily tasks. Nonetheless, its adoption within the nursing field is hampered by a widespread lack of understanding of AI principles (Abuzaid et al, 2022).…”

How paediatric nursing can leverage the age of artificial intelligence to improve health outcomes and quality of care?

“…KATE) as these are some AI tools that aid clinical data engine providing real-time analytics to deliver nursing services to patients. 2,3 Every patient is different and presents with different symptoms; however, a variety of factors, including the knowledge and experience with psychological and emotional states of all healthcare providers, including nurses, can inevitably result in such errors. One such machine-learning technique is the multilayer perceptron method which can handle complex properties of various data types.…”

“…But AI has been integrated into some parts of the healthcare industry including—AI‐assisted auscultation, Cardiac Auscultation Record Card, Automated image‐based bilirubin and a patient triage system for the emergency room (e.g. KATE) as these are some AI tools that aid clinical data engine providing real‐time analytics to deliver nursing services to patients 2,3 …”

Impactos das tecnologias nas ciências biológicas e da saúde 4

“…A despeito de haver inúmeros sistemas a integrar a IA dentro do contexto dos cuidados em saúde, especificamente para auxiliar os enfermeiros no desempenho de suas competências profissionais, não foi possível identificar na literatura existente um sistema que integre as cinco fases do PE. Para mais, a investigação realizada por Abuzaid et al (2022) identificou as dificuldades e o pouco conhecimento dos enfermeiros na utilização dos recursos de IA, por isso, para além da necessidade de investimento em mais recursos/sistemas inteligentes para os cuidados em saúde, é imprescindível capacitar os seus utilizadores por meio de contextos de formação. À vista disso, a estratégia de microcredencial, operacionalizada por meio de cursos de curta duração, poderá ser utilizada para suplantar essa necessidade.…”