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Health care is rapidly changing with advanced artificial intelligence provisions for data analysis, diagnosis, and patient management tools. AI technologies are particularly important in the field of nursing, where these technologies can be put into practice in monitoring patient workflow management, and ensuring high standards of care and safety. This assessment will describe integration of AI into nursing will maintain for efficiency and accuracy, making health professionals spend more time with the patient rather than behind a computer doing administrative work.

Introduction of Chosen Technology topic

I choose this topic because AI in healthcare is a broad area of application, these technologies process huge amounts of information quickly and accurately, providing insights with potentially beneficial effects on the outcome of this or that patient. According to a report, AI technologies can reduce healthcare expenditure by 50% while increasing access to healthcare facilities and in some medical areas, diagnostic accuracy rates over 90% could be achievable using AI algorithms (IBM Education, 2024). AI can help nurses in making patient complications easier to detect at an early stage, facilitate routine tasks, and even support clinical decision-making. I have used credible databases like PubMed and Google Scholar with keywords such as “Artificial Intelligence”, “Healthcare Efficiency”, and “Patient Care”. I reviewed current data and studies from credible sources to understand the ways in which artificial intelligence could currently affect and make a difference in nursing practice and healthcare.

Annotated Bibliography

Aung, Y. Y. M., Wong, D. C. S., & Ting, D. S. W. (2021). The promise of artificial intelligence: a review of the opportunities and challenges of artificial intelligence in healthcare. British Medical Bulletin, 139(1), 4–15. https://doi.org/10.1093/bmb/ldab01


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