AI is rapidly transforming the field of health informatics, introducing new possibilities for data analysis. With its ability to process vast amounts of complex data, AI has the potential to impact all aspects of healthcare, from clinical decision support and personalized medicine to disease prevention and population health management.
Instructions
In your initial post to the discussion, respond to the following prompts:
- Consider an example of how AI has been, or could be, implemented in a healthcare organization. You can reference the examples in this module’s list of resources, or you can research a new example.
- Explain the ethical considerations and potential biases associated with your example.
- Analyze the impact of AI on healthcare workforce dynamics. For example, will workers need new skillsets to support this AI-based tool?
- Compare the challenges and opportunities of integrating this AI-based tool.Agyemang-Gyau, P. (2021). Artificial intelligence in healthcare and the implications for providers. Online Journal of Nursing Informatics (OJNI), 25(2). https://www.himss.org/resources/artificial-intelli...Jiang, F., Jiang, Y., Zhi, H., Dong, Y., Li, H., Ma, S., Wang, Y., Dong, Q., Shen, H., and & Wang, Y. (2017). Artificial intelligence in healthcare: past, present and future. Stroke and Vascular Neurology, 2(4). https://svn.bmj.com/content/2/4/230TEDx Talks. (2023, May 25). Accelerating clinical trials with AI: the future of AI and health | Michael Lingzhi Li | TEDxBoston [Video]. YouTube. TEDx Talks. (2021, November 18). Artificial intelligence in healthcare: opportunities and challenges | Navid Toosi Saidy | TEDxQUT [Video]. YouTube. TEDx Talks. (2023, July 7). Navigating the AI future of health care | Benjamin Collins | TEDxVanderbiltUniversity [Video]. YouTube.