Implementing the New Educational Technology  NURS FPX 6109 Assessment 4 Vila Health: Implementing New Educational Technology

Implementing the New Educational Technology  NURS FPX 6109 Assessment 4 Vila Health: Implementing New Educational Technology

Implementing the New Educational Technology 

NURS FPX 6109 Assessment 4 Vila Health: Implementing New Educational Technology

Different technological advancements have been introduced in nursing education to improve the learning outcomes of students so that they become highly skilled healthcare professionals and deliver the best healthcare services to the people. John Hopkins University is one of the most reputed institutes in the United States which offers multiple programs in nursing education. It uses various technologies like telehealth services in the health department to achieve efficiencies in learning and healthcare outcomes (Hwang et al., 2022). The use of artificial intelligence has been implemented to improve the learning of students. Artificial intelligence is a form of machine-based learning that develops the framework of critical thinking, enhances the understanding level of palliative care, and promotes cognitive thinking as well (Buchanan et al., 2021). 

The main features of AI involve machine learning, processing of language, and facial recognition which evaluate the already present data and after evaluation makes an update in it through the prediction of possible outcomes. It also suggests the best strategies to overcome future health problems that can be encountered in the future and implements quality improvement plans by promoting the clinical decision support system (Chang et al., 2022). The use of artificial intelligence has revolutionized nursing education and clinical practices by creating a visual environment through the help of human-like robots and different cyborgs. These types of visual scenarios help in the prevention of medication errors in the real clinical environment and promote patient safety (Abuzaid et al., 2022). 

Outline for Implementation of Plan 

NURS FPX 6109 Assessment 4 Vila Health: Implementing New Educational Technology

Different steps will be carried out at John Hopkins University to implement artificial intelligence in nursing education and un-certainty issues will be minimized about decision making as well as consumption of extra time during the processing. 

• The first step is getting the healthcare and education executives to sign off by developing the best understanding of opportunities for the implementation of AI in nursing education. It will involve using different cases where AI has provided great benefits in education and ultimately in healthcare as well (Ronquillo et al., 2021). 
• After taking approval from executives, the maturity level of the institute is assessed regarding artificial intelligence. It will involve the assessment of the organization’s workflow and administration approach for the care of patients and determines whether the organization is ready to implement artificial intelligence or not. 
• After the identification of the readiness of the company for AI, the gaps are identified for broadening the expertise of the organization in the context of data engineering. The team will be developed comprising experts in AI, consultants, business analysts, healthcare staff, and leaders for the implementation of the technology. 
• The team will design the interventions for the implementation of AI and then propose a solution for improving the current infrastructure of the organization. These interventions are divided into further sub-categories for achieving better results in the project.
• A competent model is designed on which the whole workflow will be based and variables will be adjusted according to the learning preferences of students. 
• The high quality and reliable data are collected which is a critical part of the evaluation of learning systems. The data will be collected, cleaned, and then analyzed. The storage options are also added as a fast and reliable solution to meet the organization’s objectives. 
• The next stage is the translation of the model in which artificial intelligence develops a structural framework of healthcare concepts. The cyborgs and three-dimensional models are developed having physiology and processes similar to the humans and healthcare needs and treatment are translated on these models which will guide the students about the administration of safe care to the patients. 
• After the translation of the model, it is verified and checked. The verification process is performed by using different virtual animations and dummies. Then validation is carried out by cross-checking and assuring that the same results will be obtained in the real-time settings as the virtual settings. This type of verification is done through different computational tools. 
• Experiments are performed and integration of AI is done at different pilot stages by the development of diff
  Order Now