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Health informatics, telehealth, and telemedicine are heavily intertwined in my career. In critical care, patients are on continuous monitoring at the least. These monitors analyze heart rate, respiratory rate, oxygenation, and blood pressure. Parameters can be set to alert nursing staff when a patient deviates from expected limits. In smaller critical care units, I have seen telemedicine/telehealth utilized more when utilizing specialty consults from sister facilities. The unit I currently work in utilizes telemedicine often, especially with neurology consults. These are just small examples of how informatics, telehealth, and telemedicine have affected my career.

Some changes I have experienced were impactful during the COVID-19 pandemic. In an academic medical center with plentiful resources, we used telemedicine for consults that were normally a bedside consult. Many of the informatics introduced have carried into healthcare as we have â€œnormalized.â€ Unfortunately, many bedside nurses were not impressed with how leadership handled these changes during this time. However, as we became more competent in the technology we used, leadership found ways to increase our education and establish resources that were easy to access.

In critical care, for example, artificial intelligence (AI) can be used to analyze vitals, predict sepsis, or even a patientâ€™s level of decompensation. Leaders in nursing can be instrumental in integrating AI into a critical care setting (Hassan & Ayman Mohamed El-Ashry, 2024). This can affect the nurse leader’s role by adding to their tasks of including it in education for staff, advocacy for staff, and growing in their individual knowledge of AI that can better assist their staff and care for the patients on their unit.

As a whole AI should complement nursing (Ventura-Silva et al., 2024), and not be leaned on entirely. There are many ways, as mentioned above, that it increases efficiency and efficacy as nurses. It can also help by assisting a nurse in organizing a shift and even assisting in clinical decision-making in complex situations.

As we are learning in our DNP courses, DNP-prepared nurses are trained in research, leadership, and creating initiatives of change at an in-depth level. Because of this, we are prepared to learn and grow in the field of artificial intelligence and the assistance it brings to the nursing field. As we grow in knowledge, we can decipher what is important to know and create and present ways to integrate it into our specialties that will improve patient care and outcomes.

References

Hassan, E. A., & Ayman Mohamed El-Ashry. (2024). Leading with AI in critical care nursing: challenges, opportunities, and the human factor. BMC Nursing, 23(1). https://doi.org/10.1186/s12912-024-02363-4

Ventura-Silva, J., Martins, M. M., Trindade, L. de L., Faria, A. da C. A., Pereira, S., Zuge, S. S., & Ribeiro, O. M. P. L. (2024). Artificial Intelligence in the Organization of Nursing Care: A Scoping Review. Nursing Reports, 14(4), 2733â€“2745. https://doi.org/10.3390/nursrep14040202

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