INNOVATIVE INFORMATICS TOOLS AND APPLICATIONS TO CLINICAL PRACTICE

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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

Be sure to review the Learning Resources before completing this activity.

Click the weekly resources link to access the resources.

WEEKLY RESOURCES

• American Nurses Association. (2015). Nursing informaticsLinks to an external site.: Scope and standards of practice (2nd ed.).

o “Standard 5: Implementation” (pp. 73–74)

o “Standard 5a: Coordination of Activities” (p. 75)

o “Standard 6: Evaluation” (p. 78)

o “Standard 11: Communication” (p. 86)

o “Standard 12: Leadership” (pp. 87–88)

o “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

Precision medicine,Genomics

• Burke, W., & Thummel, K. (2019). Precision medicine and health disparities: The case of pediatric acute lymphoblastic leukemiaLinks to an external site.. Nursing Outlook, 67(4), 331–336. doi:10.1016/j.outlook.2019.05.003

• Corwin, E., Redeker, N. S., Richmond, T. S., Docherty, S. L., Rita, H., & Pickler, R. H. (2019). Ways of knowing in precision healthLinks to an external site.. Nursing Outlook, 67(4), 293–301. https://doi.org/10.1016/j.outlook.2019.05.011

• Hacker, E. D., McCarthy, A. M, & DeVon, H. (2019). Precision health: Emerging science for nursing researchLinks to an external site.. Nursing Outlook, 67(4), 287–289. doi:10.1016/j.outlook.2019.06.008

• Hickey, K. T., Bakken, S., Byrne, M. W., Bailey, D. C. E., Demiris, G., Docherty, S. L., Dorsey, S. G., Guthrie, B. J., Heitkemper, M. M., Jacelon, C. S., Kelechi, T. J., Moore, S. M., Redeker, N. S., Renn, C. L., Resnick, B., Starkweather, A., Thompson, H., Ward, T. M., McCloskey, D. J., Austin, J. K., & Grady, P. A. (2020). Corrigendum to precision health: Advancing symptom and self-management scienceLinks to an external site.. Nursing Outlook, 68(2), 139–140. doi:10.1016/j.outlook.2019.11.003

• Newcomb, P., Behan, D., Sleutel, M., Walsh, J., Baldwin, K., & Lockwood, S. (2019). Are genetics/genomics competencies essential for all clinical nurses?Links to an external site. Nursing, 49(7), 54–60. doi:10.1097/01.NURSE.0000554278.87676.ad

Robotics

• Frazier, R. M., Carter-Templeton, H., Wyatt, T. H., & Wu, L. (2019). Current trends in robotics in nursing patents—a glimpse into emerging innovationsLinks to an external site.. Computers, Informatics, Nursing, 37(6), 290–297. doi:10.1097/CIN.0000000000000538

• Song, S., & Collins, S. H. (2021).Optimizing exoskeleton assistance for faster self-selected walking. IEEE Transactions on Neural Systems and Rehabilitation EngineeringLinks to an external site., 29, 786–795. doi:10.1109/TNSRE.2021.3074154

• Yang, G.-Z., Nelson, B. J., Murphy, R. R, Choset, H., Christensen, H., Collins, S. H., Dario, P., Goldberg, K., Ikuta, K., Jacobstein, N., Kragic, D., Taylor, R. H., & McNutt, M. (2020). Combating COVID-19—The role of robotics in managing public health and infectious diseasesLinks to an external site.. Science Robotics, 5(40). https://doi.org/10.1126/scirobotics.abb5589

Clinical decision support, digital medicine

• Centers for Disease Control and Prevention. (n.d.). Implementing clinical decision support systemsLinks to an external site.. Division for Heart Disease and Stroke Prevention. https://www.cdc.gov/dhdsp/pubs/docs/Best_Practice_Guide_CDSS_508.pdf

• Sutton, R. T., Pincock, D., Baumgart, D. C., Sadowski, D. C., Fedorak, R. N., & Kroeker, K. I. (2020). An overview of clinical decision support systems: Benefits, risks, and strategies for successLinks to an external site.. NPJ Digital Medicine, 3(17). https://doi.org/10.1038/s41746-020-0221-y

Required Media

• AHRQ Digital Healthcare Research. (2021, July 12). AHRQ CDS connect: A primerLinks to an external site. [Video]. https://youtu.be/xjbYTBaycs8

• Google Cloud Tech. (2017, August 31). The 7 steps of machine learningLinks to an external site. [Video]. YouTube. https://www.youtube.com/watch?v=nKW8Ndu7Mjw

• SAS. (n.d.). Machine learning: What it is and why it mattersLinks to an external site. [Video]. https://www.sas.com/en_us/insights/analytics/machine-learning.html

• U.S. Food and Drug Administration. (2019, December 20). What is precision medicine?Links to an external site. [Video]. YouTube. https://www.youtube.com/watch?v=ojrW8WeoANQ

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