Using Artificial Intelligence In Nursing To Improve Patient Outcomes

Abstract

The use of artificial intelligence (AI) in healthcare has the potential to greatly improve patient outcomes. In this paper, we conduct a systematic qualitative review of AI in nursing, utilizing 26 papers identified through a search on Google Scholar and selected with the PRISMA flowchart. The majority of these papers (23 out of 26) were based on a review of existing literature, while the remaining three utilized multiple methods including focus groups and interviews to understand perceptions and hesitation towards AI in patient care among different stakeholders. The papers followed a similar structure, starting with a definition of AI and describing various tools and applications in healthcare, supported by real-world examples. One common finding was the low adoption rate of AI in healthcare systems, primarily due to a lack of integration into existing patient care systems. Other challenges and ethical issues, such as the explainability of AI algorithms, were also discussed. The hesitance and resistance of stakeholders towards the use of AI was identified as a major barrier to adoption. As such, future research should focus on understanding and addressing these concerns, as well as conducting systematic studies on the integration and ethical implications of AI in nursing. Limitations of this review are also discussed.