Topic Selection: Post The Topic You Plan To Explore
2 Topic Selectionplease Post The Topic You Plan To Explore Include
Identify and describe the topic you plan to explore, explaining why you selected it and how it impacts your profession. Your submission should be at least 250 words.
Afterward, comment on at least two of your peers. Additionally, craft a 150-word reflection on what you have learned through this conversation and post it to the Weekly Reflection Journal.
Paper For Above instruction
For this assignment, I have chosen to explore the impact of artificial intelligence (AI) integration within healthcare, focusing on how AI influences patient diagnostics and treatment planning. The motivation behind selecting this topic stems from the transformative potential AI holds in revolutionizing healthcare delivery, improving accuracy, efficiency, and patient outcomes. As a healthcare professional, understanding the implications, challenges, and ethical considerations associated with AI is critical, given its increasing integration into daily practice.
The significance of this topic lies in its direct relevance to my profession as a healthcare provider, where technological advancements continually reshape clinical workflows. AI applications such as machine learning algorithms for image analysis or predictive analytics for patient risk stratification are already demonstrating substantial impacts on diagnostics and personalized medicine. Exploring this topic allows me to critically evaluate how AI’s integration can optimize patient care while addressing potential pitfalls like data privacy, bias, and the need for regulation.
In researching this area, I was particularly interested in the ethical considerations surrounding AI, including issues of transparency, accountability, and consent. Additionally, understanding the challenges related to data security and bias in AI models has deepened my appreciation for responsible implementation. This knowledge is vital for my role, as it will help me advocate for ethically sound practices and stay informed about evolving standards and regulations. Overall, this exploration enhances my ability to adapt to technological advancements while maintaining ethical integrity in patient care.
References
- Challen, R., Denny, J., Pittard, N., et al. (2019). Artificial intelligence, machine learning, and deep learning in pathology: a review. Journal of Pathology Informatics, 10, 34. https://doi.org/10.4103/jpi.jpi_60_19
- Topol, E. (2019). Deep medicine: How artificial intelligence can make healthcare human again. Basic Books.
- Morley, J., Machado, C. C. V., et al. (2020). The ethics of AI in health care: A mapping review. Social Science & Medicine, 260, 113172. https://doi.org/10.1016/j.socscimed.2020.113172
- Obermeyer, Z., & Emanuel, E. J. (2016). Predicting the future — Big data, machine learning, and clinical medicine. New England Journal of Medicine, 375(13), 1216-1219.
- Rajkomar, A., Dean, J., & Kohane, I. (2019). Machine learning in medicine. New England Journal of Medicine, 380(14), 1347-1358.