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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

Required Readings

· 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)

· Billingsley, L., Calderon, A., & Agosta, L. (2024). 
Transforming health care: Exploring artificial intelligence integration, data governance, and ethical considerations in nursingLinks to an external site.. 
Journal of Radiology Nursing, 
43(2), 107–111.

· Calik, A., Ozkul, D., & Kapucu, S. (2024). 
Smart glasses use experience of nursing graduate students: Qualitative studyLinks to an external site.. 
BMC Nursing, 
23(1), 1–10.

· Dordunoo, D., Limoges, J., Chiu, P., Puddester, R., Carlsson, L., & Pike, A. (2023). 
Genomics-informed nursing strategies and health equity: A scoping review protocolLinks to an external site.. 
PLoS ONE, 
18(12), e0295914.

· Krupp, A., & Lopez, K. D. (2023). 
Leveraging implementation science with using decision support technology to drive meaningful change for nurses and nursing leadershipLinks to an external site.. 
Nurse Leader, 
21(6), 636–640.

· Madi, M., Nielsen, S., Schweitzer, M., Meyer, G., Langensiepen, S., Stephan, A., Siebert, M., & Körner, D. (2024). 
Acceptance of a robotic system for nursing care: A cross-sectional survey with professional nurses, care recipients and relativesLinks to an external site.. 
BMC Nursing, 
23(1).

Required Media

· AHRQ Digital Healthcare Research. (2021, July 12). 

AHRQ CDS connect: A primerLinks to an external site.

 [Video].

· U.S. Food and Drug Administration. (2019, December 20). 

What is precision medicine? Links to an external site.
 [Video]. YouTube.

Optional Resources

· 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

· 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.

· Scudellari, M. (2020). 

AI recognizes COVID-19 in the sound of a cough Links to an external site.
. IEEE Spectrum.

 

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 the following:  

· Choose one of the five topics: AI, Machine Learning, Genomics, Precision Health, or Robotics, how has this technology been applied in your practice or in the lives of your patients

· How do you think this innovation will impact the future of your practice?

By Day 6 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. 

Latonya Busby

                                    Innovative Informatics Tools and Applications to Clinical Practice

Nurses play an important role in implementing precision health by gathering accurate patient histories and proactively identifying at-risk patients. Precision health is a disease treatment and prevention strategy that considers individual differences in genes, environment, and lifestyle (Davis et al., 2025). Direct care nurses are expected to understand genetics and genomics to help establish precision health as the standard of care. Precision healthcare offers a holistic approach, creating care plans tailored to individuals and their external environment. Precision health has impacted the healthcare industry by enabling better monitoring of disease processes and personalized treatments. Precision health extends beyond medical treatment to wellness, prevention, and health promotion (Davis et al., 2025). In nursing, it combines holistic care principles with a genomics-informed approach to practice. Direct care nurses equipped to deliver precision care need genomic knowledge to educate and advocate for individuals, families, communities, and populations in all healthcare settings. Traditionally, medicine and treatments were not patient-specific but designed to fit all individuals; however, precision healthcare is tailored to individual patients. Genetics are vital when making decisions and can have lasting effects if not properly diagnosed.

Precision health has advanced in monitoring diseases such as diabetes through non-invasive patches worn to track blood sugar levels. This technology has positively affected patients by eliminating the need for constant finger pricks to check glucose. According to Mansour et al (2025), microneedle autocalibration, an automatic technique for detecting the glucose oxidation peak, is integrated within the microcontroller to enhance the stability of glucose measurements. A challenge for wearable devices is extending their operational lifespan, which is limited by both microneedle performance and battery capacity. Nonetheless, the device holds significant potential to influence precision health, acting as a dependable tool for real-time management of glucose and other vital health parameters (Mansour et al., 2025). Overall, combining precision health with ongoing education can reduce nurses’ workload and improve patients’ quality of life.

References

Davis, S. H., Himes, D. O., Dewell, S., Dungan, J. R., & Lucas, R. F. (2025). Precision Health: Applications for Registered Nurses. Nursing Clinics of North America, 60(2), 379–397. 
to an external site.

Mansour, M., Tawakey, S. H., Salim, A. I., Muhammad, S. T., & Soltan, A. (2025). Toward Precision Health: A Bluetooth-Enabled, Miniaturized Glucose Monitoring Wearable. IEEE Sensors Journal, Sensors Journal, IEEE, IEEE Sensors J, 25(7), 11971–11981. 
to an external site.

 

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