Artificial Intelligence in Nursing
Safeena Beevi SS*
Published: November 26, 2022
DOI: 10.55162/MCMS.03.082
Abstract
In order to find elucidations for intricate healthcare issues, artificial intelligence (AI) is nowadays becoming awidely recognized technique. This editorial focusing on the significance of AI in health care settings especially in nursing field [1]. Innovations in health care like launching of intelligent robots in patient care home settings have great impact in caring of patients. The definition of AI is “Artificial intelligence encompasses the techniques used to teach computers to learn, reason, perceive, infer, communicate, and make decisions similar to or better than humans” [2]. Everywhere, nurses are the major group of health professionals, accounting for approximately 40-50% of the health workforce.
Emerging significance of AI in health care technologies
Nowadays AI are emerging asnew innovations and getting popular due to their ability to analyze clinical data and patient details with greater amounts of research evidences for decision making and enhance new knowledge [3]. Because of these capacities, AI can renovate different aspects of health care systems in the forthcoming decades. When we do review of literature on AI in nursing, many scientific papers and research studies had forecasted the impact of AI on nurse educators, nurse practitioners and student nurses [4-7]. These innovation of AI in nursing requires training to transform the nursing education and practice aspects [8, 9]. Nurses need skills and knowledge to integrate AI knowledge to clinical practice [9].
Suggested topics of education and training are “basic informatics competencies” [7, 8, 10-12], “data analytics, predictive modeling and ML principles” [5, 9, 13-16], “engineering principles” [10, 16-18] “digital/data literacy” [5, 19], “ethics” [4, 8, 15, 16, 19], “privacy issues” (including security breaches or “cyberthreats”) [4, 8], “big data governance” [4, 16, 19], “technocentric cultural competence” [10], “AI research design” [11], and “robotics care and operations” [10, 17]. Nurse educators, nurse practitioners, and student nurse’s need to remain actively engaged in the planning and implementation of these technologies, thereby enhancing opportunities for their successful integration. A significant initial step will be entrenching nursing informatics and digital health technology proficiencies into all extents of nursing education. It has been recommended that the AI industry would benefit from hiring experts from various health disciplines to engage in design processes, and the nursing profession has the potential to provide this proficiency [20]. Empowering nurses and nursing students can be achieved through integrating AI in nursing curriculum. Social robots are devised to intermingle in ways that make them human by responding to human interactions. Eg; Sophia is a social robot. Research findings pointed out that between 8% and 16% of nursing time is spent mainly on non-nursing activities and tasks that can be delegated to others. Nurses with robot support will have the ability to take back this time and nurses can spend more time with patients for better patient care. Curricular reform is mandatory in nursing education programs in educational institutions and clinical practice settings to prepare nurses and nursing students to practice safely and efficiently AI in nursing care by providing patient centered, comprehensive and compassionate, high tech and high touch care [7].
Conclusion
Future research studies are required to conduct in this area of advanced technologies for better patient care in health care systems. New AI technologies are rapidly emerging within the health systems, integration of AI in nursing curriculum with proper training of health care professionals are essential. Based on these capabilities, AI in health care are forecasted to renovate various aspects of health systems in the coming decade.AI implementation in nursing isn’t a perfect science. Accomplishment requires vigilant attention of the most useful device, engagement with the nurses who will actually use the device, and participation of nurses in its implementation and evaluation [22].