AI-POWERED NURSING ASSISTANTS IN MODERN HEALTHCARE: REVOLUTIONIZING EFFICIENCY AND REDUCING STAFF WORKLOAD

Abstract

Background: As more people require healthcare services in combination with constant nursing staff shortages, Artificial Intelligence (AI) embedded into nursing becomes a potentially effective option. Nursing assistants with AI capability are being deployed to facilitate routine clinical duties in line with improving the efficiency of the operations, as well as reducing the nursing workload.

Objectives: The present work focuses on the impact of AI-powered nursing aids on the healthcare effectiveness and burden of work of the staff. It also talks about the results being defined by technological preparation and the perceived effectiveness.

Methods: A cross-sectional survey with 268 health professionals, nurses, nurse practitioners, and administrators of different hospitals was carried out on a quantitative basis. It was a semi-structured questionnaire of 16 items using by Likert scale and 2 items by open-ended questionnaires. Statistical tests consisted of Shapiro-Wilk tests of normality, Cronbach's alpha measure of reliability, Pearson correlation, and multiple linear regression used to establish the correlation among variables.

Results: Normal distribution ( p > 0.05) was the result of the data of Adoption and Workload of AI. The instrument itself had an internal reliability that was quite high (Cronbach's Alpha = 0.9368). All three relationships of AI Adoption, Efficiency, Workload, and Technological Readiness produced positive indicators. The regression model (R ) showed that the three predictors are significant in causing the staff workload to be reduced. All their regression coefficients were positive, and this is indicative of the direct positive effects of AI on the workload.

Conclusion: The results lead to the conclusion that AI-based nursing assistants are crucial to enhancing healthcare operations as they optimise efficiency and minimise the workload of hospital personnel. These effects are boosted by technological readiness. The research proves the viability of the increased use of AI in nursing and promotes the smart investment in the training of personnel and the digital infrastructure.