INNOVATIVE INFORMATICS TOOLS AND APPLICATIONS TO CLINICAL PRACTICE
New technology and tools will undoubtedly shape nursing practice. “Research suggests that between 8% and 16% of nursing time is spent on non-nursing activities and tasks that should be delegated to others” (Robert, 2019). As a result, new innovations may minimize the time spent on these non-nursing activities and tasks to further support and strengthen patient care.
One such technology is the use of robots. While nursing robots are not yet readily available, researchers have earned millions in grants over the last decade researching and developing AI and robotic innovations to improve healthcare and nursing practice. From clinical practice to patient support, the future seems endless with possibilities.
For this Discussion, you will explore various topics associated with innovative technology and your healthcare organization or nursing practice. You will consider how you might utilize these advancements, as well as consider how these advancements might influence nursing informatics.
Reference:
Robert, N. (2019). How artificial intelligence is changing nursing. Nursing Management, 50(9), 30–39. doi:10.1097/01.NUMA.
RESOURCES
Be sure to review the Learning Resources before completing this activity.
Click the weekly resources link to access the resources.
TO PREPARE
- Review the Learning Resources associated with the topics: AI, Machine Learning, Genomics, Precision Health, and Robotics.
- Consider the role of these technologies in your healthcare organization or nursing practice.
- Analyze the differences of these technologies as they may impact healthcare delivery and nursing practice.
- Reflect on the potential use of each of these topics and your personal experiences with their implementation into practice.
BY DAY 3 OF WEEK 7
Post a response to your blog for each of the following:
- From the five topics: AI, Machine Learning, Genomics, Precision Health, and Robotics, assess the applications of the technology, noting the potential benefits and potential challenges of the innovations. Be specific.
- Appraise the potential of the innovations to improve healthcare practice and related outcomes.
- Explain whether these applications integrate Big Data? Why or why not?
- Explain the difference between AI, Machine Learning, Data Mining and
- Deep Learning as presented in the Bini (2018) article.
- Why do these differences matter and how relevant are they for Big Data?
BY DAY 5 OF WEEK 7
Read a selection of your colleagues’ blog posts and respond to at least two of your colleagues on two different days by expanding upon their responses or sharing additional or alternative perspectives.
Required Readings
- Sipes, C. (2020). Project management for the advanced practice nurse (2nd ed.). Springer Publishing.
- Chapter 5, “Implementation/Execution: Phase 3” (pp. 121–146)
- American Nurses Association. (2015). Nursing informaticsLinks to an external site.: Scope and standards of practice (2nd ed.).
- “Standard 5: Implementation” (pp. 73–74)
- “Standard 5a: Coordination of Activities” (p. 75)
- “Standard 6: Evaluation” (p. 78)
- “Standard 11: Communication” (p. 86)
- “Standard 12: Leadership” (pp. 87–88)
- “Standard 15: Resource Utilization” (p. 92)
- Chen, M., & Decary, M. (2020). Artificial intelligence in healthcare: An essential guide for health leadersLinks to an external site.. Healthcare Management Forum, 33(1),10–18. doi:10.1177/0840470419873123
- Dermody, G., & Fritz, R. (2019). A conceptual framework for clinicians working with artificial intelligence and health-assistive Smart Homes. Nursing InquiryLinks to an external site., 26(1), Article e12267. doi:10.1111/nin.12267
- Lee, M. S., Grabowski, M. M., Habboub, G., & Mroz, T. E. (2020). The Impact of artificial intelligence on quality and safetyLinks to an external site.. Global Spine Journal, 10(1 Suppl), 99S–103S. https://doi.org/10.1177/
2192568219878133 - Sapci, A. H., & Sapci, H. A. (2019). Innovative assisted living tools, remote monitoring technologies, artificial intelligence-driven solutions, and robotic systems for aging societies: Systematic reviewLinks to an external site.. JMIR Aging, 2(2), Article e15429.
- Scudellari, M. (2020). AI recognizes COVID-19 in the sound of a coughLinks to an external site.. IEEE Spectrum. https://spectrum.ieee.org/the-
human-os/artificial- intelligence/medical-ai/ai- recognizes-covid-19-in-the- sound-of-a-cough
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