The Use of Artificial Intelligence in Nursing Documentation and Decision-Making

Abstract

Background: In nursing, AI is changing the face of  treatment delivery through improving the healthcare decision making process since it responds to the call to go for artificial intelligence by improving patient health. It is instrumental in helping nurses to make right decisions quickly through analyzing large databases of data.

Aim: This study aims to understand how data intelligent AI technologies influence nursing decision making specifically in diagnostics, predictive analytics, real time monitoring and individualized care, with regards to advantages, disadvantages and ethical concerns in those areas.

Methods: The literature review was done, assessing the outcomes of the application of AI in the nursing field aimed by investigating the analyzed studies and case reports. More so the study will be centered on the appropriateness of AI in clinical context, its advantages and drawbacks in health care.

Results: AI technologies have enhanced decision-making for nurse and also the safety of the patients and manipulation of work flow . This has led to early identification, individualized care and consumption of resources through the incorporation of tools like CDSS, predictive factor and real time surveillance though some issues such as issues of privacy and training and skills still persist.

Conclusion: AI is assisting the nurses in decision making by analyzing, offering effective information and healthy results. As stated there are some issues that can hinder the process but the opportunities for using AI in nursing are tremendous and they cannot be realized without proper address to values, training and the combination of the efforts of nurses and AI.