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.0000578988.56622.21
RESOURCES
reading
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
machine resorces
Kwon, J. Y., Karim, M. E., Topaz, M., & Currie, L. M. (2019). Nurses “seeing forest for the trees” in the age of machine learning: Using nursing knowledge to improve relevance and performanceLinks to an external site.. Computers, Informatics, Nursing, 37, 203–212. doi:10.1097/CIN.0000000000000508
Park, J. I., Bliss, D. Z., Chi, C. L., Delaney, C. W., & Westra, B. L. (2020). Knowledge discovery with machine learning for hospital-acquired catheter-associated urinary tract infectionsLinks to an external site.. Computers, Informatics, Nursing, 38(1), 28–35. https://doi.org/10.1097/CIN.0000000000000562
Sendak, M., Gao, M., Nichols, M., Lin, A., & Balu, S. (2019). Machine learning in health care: A critical appraisal of challenges and opportunitiesLinks to an external site.. eGEMS, 7(1), 1. https://doi.org/10.5334/egems.287
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.
