Nursing educators have a huge responsibility of training future nursing professionals and equipping them with the necessary expertise to tackle emerging challenges in the future. Educators play an important role in the development of practical skills and problem-solving abilities in students. Educated nurses can better adapt AI learning tools for performing efficiently in hospitals and remote healthcare settings (Li et al., 2019). Technology change and its implementation in clinics is not only challenging but also very intriguing because it need to get hands-on practice first to become able to provide appropriate care to patients in hospitals. The educated nurses will utilize their knowledge of AI tools for better diagnosis and treatment strategies. Using the advanced tools nurses will provide patients with remote service and platforms that will help them to learn self-management strategies. Nurses make changes in their professional approach towards patients according to the applied AI tools and patient centered treatment plan that will improve the overall working of a healthcare system. Coordination of nursing educators with technical and laboratory staff is needed for them to bring technology-based learning methods at Hospitals. Improved clinical practices based on AI and ML tools will improve patients health care and safety. Nursing educators facilitate the patients in better implementation of the intervention and ensure patient safety and care (Fawaz et al., 2018).
NURS FPX 6109 Assessment 2 Vila Health: The Impact of Educational Technology
Implementing changes in nursing education through artificial intelligence and machine learning requires a very pragmatic approach. These technological changes in teaching methods have been integrated at the right pace to successfully incorporate the outcomes in clinical practices. The University should plan practice programs for students at which these changes must be implemented on robotic modules. They need to be wary of the impact of these changes on the students, nursing educators, and patient care and safety in the future (Lattouf, 2022). Information Technology and Communication (ICT) staff should incorporate the effectiveness of specific learning tools virtually. Educators and course planners should collaborate with technical staff to account for any long-term consequences that AL-based learning and ML tools might have. The use of AI and machine learning methods in nursing education has proven to be effective in enabling students to structure positive interventions and practice remote health strategies. The incorporation of technological changes in learning methods also develops cognitive skills and will help them in gaining a professional approach toward patients (Levett-Jones et al., 2019).
NURS FPX 6109 Assessment 2 Vila Health: The Impact of Educational Technology
Artificial intelligence and machine learning have modernized nursing education. Robotic and prototype modules help students in better exposure to clinical practice and conducting data processing and analysis. Students become able to excel in clinical practices through prototype learning modules. Virtual learning sessions and tours help nursing graduates to choose the best suitable options for specialization. Nursing schools and trainers should be able to adopt these changes as early as they are declared effective to further process the changes in the learning curriculum. All these professional strategies will help the organization in achieving its goals related to public health.
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