NURS FPX 6109 Assessment 2 Vila Health: The Impact of Educational Technology Impact of AI Technology Changes on an Organization’s Mission

Johns Hopkins University as a research organization is focusing on its mission of improving public health through nursing education with the help of technology. The organization’s mission is to work out certainty with Explainable mode. Required changes are implemented to meet the research gaps in modern teaching strategies and evidence-based interventions. The Johns Hopkins Hospital has created a command center through AI which will help the teaching faculty in a smooth workflow. The Command center assists hundreds of queries by students and faculty on daily basis.  Engineers and technicians with ML technology are developing advanced tools for manufacturing more accurate, detailed learning modules, and medical imaging which provides a broad view of human anatomy (Carrasco, 2019). To develop a better understanding of the course and practical approach, machine translation is required. Expert translators and software developers help in developing a brief course outline and easy access to online tools for nursing students. Nurses will become more educated regarding the utilization of AI tools from the theoretical assessments. These advanced learning tools and techniques will make students able to better understand the situation, quickly diagnose, and develop professional skills which support the organization’s mission and achievement of public health safety goals assisted by educated nurses (Maier et al., 2019).

Impact of Changes on Organization

NURS FPX 6109 Assessment 2 Vila Health: The Impact of Educational Technology

Artificial intelligence and its implementation in learning methods at the nursing school have helped the nurses at Johns Hopkins Hospital in developing more efficient interventions and treatment strategies. Machine-based learning has put practical influence on nursing education. It made them more confident in their research surveys and findings. Students better understand human anatomy through 3-D models and prototype modules, the accuracy of diagnosis through medical imaging, and a systematic approach toward treatment through AI (Henry et al., 2022). Nursing graduates work on a specific pattern and evaluate the strategy through automated decision-making approaches suggested by the system. Students learn to follow a neurotic framework with the help of neural networking in which even a single neuron interprets itself as a whole. The neural framework facilitates them to capture critical information using traceable technology and maximizes the possibility of a positive outcome. The evidence-based working strategy will help students in creating potential and clinically supportive treatment strategies with the possibility of fewer errors. Technology-based learning and its practical implementation sure have a positive impact on patient safety and care (Bakator & Radosav, 2018).