Investigating the Role of AI in Supporting Nursing Decision-Making and Practice

This paper explores the position of Artificial Intelligence (AI) in assisting nursing practice and decision-making and considers its advantages, limitations, and future prospects in nursing. Based on mixed-methodology, the data was gathered among nurses working in hospitals and other healthcare facilities actively using AI-powered tools to include Clinical Decision Support Systems, predictive analytics to determinea patient deterioration process, and AI-powered triage systems. Quantitative results demonstrate that there were large changes in the speed of clinical decision-making, diagnostic accuracy, and distribution of work, so that nurses could spend more time ondirect care of patients and complicated clinical reasoning. Qualitative insights point to the fact that such advantages depend on whether they integrate well into the established working practices, continuous AI literacy education, and in line with the ethical and relational values prioritized by nursing. Among the challenges recognized in the analysis, there are algorithmic bias, system integration, and long-term professional development that is required in order to make the use of AI effective and confident. The relational and intermittent nature of nursing as compared to other healthcare disciplines necessitates the use of AI systems that are context-sensitive, adaptable and that facilitate comprehensive care in patients. The discussion highlights the need to integrate AI in education across nursing and establish clear policy guidelines to ensure safe and equitable implementation and also explore ethical issues to enable a trustful relationship between practitioners. The paper findings are that the use ofAI can be transformative in nursing, depending on how it will be implemented; strategic, ethical, and with the broader focus on augmenting and not substituting human expertise. Focusing on viewing AI as a collaborator in the nursing field, it is possible to use technological advances to reinforce the evidence-based practice and enhance patient outcomes and make the field of nursing stay true to the principles of caring and patient-centered care.

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Publication Details

Journal
Advance Social Science Archive Journal
Published
2025-08-17
DOI
https://doi.org/10.55966/assaj.2025.4.1.0121
Primary Topic
Artificial Intelligence in Healthcare and Education
Type
article
Field-Weighted Citation Impact
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article

Investigating the Role of AI in Supporting Nursing Decision-Making and Practice

Umer Javed, Sajid Ali, Naveen Taj, Hamid ul Haq et al.
Advance Social Science Archive Journal
Artificial Intelligence in Healthcare and Education
article

Investigating the Role of AI in Supporting Nursing Decision-Making and Practice

Umer Javed, Sajid Ali, Naveen Taj, Hamid ul Haq, Saima Merchant, Sehrina Aslam
article en

Abstract

This paper explores the position of Artificial Intelligence (AI) in assisting nursing practice and decision-making and considers its advantages, limitations, and future prospects in nursing. Based on mixed-methodology, the data was gathered among nurses working in hospitals and other healthcare facilities actively using AI-powered tools to include Clinical Decision Support Systems, predictive analytics to determinea patient deterioration process, and AI-powered triage systems. Quantitative results demonstrate that there were large changes in the speed of clinical decision-making, diagnostic accuracy, and distribution of work, so that nurses could spend more time ondirect care of patients and complicated clinical reasoning. Qualitative insights point to the fact that such advantages depend on whether they integrate well into the established working practices, continuous AI literacy education, and in line with the ethical and relational values prioritized by nursing. Among the challenges recognized in the analysis, there are algorithmic bias, system integration, and long-term professional development that is required in order to make the use of AI effective and confident. The relational and intermittent nature of nursing as compared to other healthcare disciplines necessitates the use of AI systems that are context-sensitive, adaptable and that facilitate comprehensive care in patients. The discussion highlights the need to integrate AI in education across nursing and establish clear policy guidelines to ensure safe and equitable implementation and also explore ethical issues to enable a trustful relationship between practitioners. The paper findings are that the use ofAI can be transformative in nursing, depending on how it will be implemented; strategic, ethical, and with the broader focus on augmenting and not substituting human expertise. Focusing on viewing AI as a collaborator in the nursing field, it is possible to use technological advances to reinforce the evidence-based practice and enhance patient outcomes and make the field of nursing stay true to the principles of caring and patient-centered care.

Advance Social Science Archive JournalVol. 4(1)
Indus Hospital (PK)
Openalex Percentile: Top 85%
Artificial Intelligence in Healthcare and Education
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