The intersection of artificial intelligence (AI) and nursing care has emerged as a pivotal topic in the healthcare landscape, inspiring a recent correction published in BMC Nursing. This illuminating research, led by R.N. Maleki, S. Shahbazi, and M. Hosseinzadeh, offers a comprehensive analysis of the implications of integrating AI technologies into nursing practices. The correction highlights the significance of understanding the conceptual frameworks that underpin AI-assisted nursing, specifically through the lens of the Walker and Avant approach. This method provides a structured way to derive meaning from complex concepts, ultimately aiding in the formulation of effective AI applications in nursing.
The researchers delve into the multifaceted role of AI in enhancing patient care, enabling nurses to deliver services more efficiently and effectively. By employing AI tools, nurses can process vast amounts of data, leading to better-informed decisions and ultimately improving patient outcomes. The potential for AI technologies to streamline administrative tasks also allows healthcare providers to devote more time to patient interaction, a critical component of nursing care that fosters trust and rapport.
One of the key assertions in the correction is the necessity of integrating AI into the ethical dimensions of nursing practice. As AI systems take on more responsibilities traditionally held by human nurses, it is imperative to consider the moral implications of such changes. For instance, patient privacy, data security, and the risk of depersonalization in care delivery must all be addressed. The researchers stress the importance of ethical training in the integration of AI, ensuring that nurses remain at the forefront of patient advocacy while utilizing technologies that can enhance their practice.
Moreover, the correction underscores the importance of collaboration among various stakeholders in the healthcare sector. Successful implementation of AI technologies requires a cooperative effort between nurses, healthcare administrators, technology developers, and policymakers. Each group brings unique insights and perspectives that can inform the design and deployment of AI systems tailored to meet the needs of clinical environments. The authors posit that interdisciplinary collaboration will not only facilitate the seamless integration of AI into nursing but will also contribute to a shared understanding of its benefits and challenges.
The correction details how the Walker and Avant approach serves as a valuable tool for dissecting the concept of AI-assisted nursing care. This qualitative research strategy allows for a deep exploration of the terminology and theoretical underpinnings associated with AI in nursing. By systematically identifying and analyzing key attributes, antecedents, and consequences, the researchers create a clearer picture of AI’s role in nursing—a step that is crucial for educators and practitioners aiming to harness these technologies effectively.
In addressing the challenges surrounding AI in nursing, the authors cite a mixture of apprehension and excitement among nursing professionals. While many recognize the potential of AI to revolutionize healthcare delivery, concerns about job displacement and the potential for error also loom large. The correction calls for a proactive stance in addressing these fears through education and training programs that emphasize the complementary nature of AI and human care. By fostering an environment where AI is seen as an ally rather than a competitor, nurses can better embrace the technological advancements that are transforming their field.
As the correction progresses, the potential for AI to enhance real-time decision-making in clinical settings is highlighted. With AI algorithms capable of analyzing patient data at unprecedented speeds, nurses can receive timely alerts about critical changes in patient conditions. This capability not only improves response times but also empowers nurses to intervene earlier in the care process, likely resulting in better patient outcomes. The researchers argue that the future of nursing lies in this integration of AI, provided that proper training and education support this transition.
Additionally, the correction reflects on the significance of human interaction in nursing care, even amidst the rise of AI technology. Empathy, compassion, and the ability to communicate effectively with patients remain invaluable traits that technology cannot replicate. The authors assert that AI should augment rather than replace these human elements, creating a hybrid model of care that combines the best aspects of both. Nurses equipped with AI tools can offer personalized care informed by the wealth of data provided by these technologies, ultimately enhancing the patient experience.
Furthermore, the article touches on the imperative of ongoing research and evaluation in the realm of AI-assisted nursing. As technology evolves, so too must our understanding and application of it within healthcare settings. The correction argues for a commitment to continuous learning, where nurses are encouraged to engage with emerging technologies and integrate them into their practice thoughtfully. Regular training updates and workshops can ensure that nurses remain competent and confident in their use of AI tools.
The implications of this research extend beyond immediate clinical applications, hinting at a future where AI could reshape entire nursing curricula. The correction suggests the possibility of developing specialized educational programs focused on AI in nursing, preparing future generations of nurses for a landscape where technology and care are intertwined. By incorporating AI literacy into nursing education, schools can equip students with the knowledge and skills necessary to navigate this evolving field.
Finally, as AI continues to develop and permeate various aspects of healthcare, the correction’s authors call for a critical examination of the broader societal impacts of these changes. Questions surrounding equity, access to technology, and the digital divide must be addressed to ensure that the benefits of AI-assisted nursing care are accessible to all populations. There is a pressing need for a concerted effort to democratize technology in healthcare, ensuring that advancements do not exacerbate existing disparities.
In conclusion, the insights presented in the correction highlight the transformative potential of AI in nursing care, while simultaneously cautioning against its challenges. The collaboration of multiple stakeholders, ethical considerations, and a commitment to education will be paramount as the nursing profession navigates this complex landscape. Embracing AI as a supportive tool rather than viewing it solely as a technological advancement will enable nurses to enhance their practice and ultimately improve patient care.
Subject of Research: Artificial intelligence-assisted nursing care
Article Title: Correction: Artificial intelligence-assisted nursing care: a concept analysis using Walker and Avant approach.
Article References: Maleki, R.N., Shahbazi, S., Hosseinzadeh, M. et al. Correction: Artificial intelligence-assisted nursing care: a concept analysis using Walker and Avant approach. BMC Nurs 24, 1497 (2025). https://doi.org/10.1186/s12912-025-04247-7
Image Credits: AI Generated
DOI: 10.1186/s12912-025-04247-7
Keywords: Artificial intelligence, nursing care, Walker and Avant approach, healthcare technology, ethical implications, interdisciplinary collaboration, patient outcomes, nursing education.
