NURS FPX 4045 Assessment 3 Technology in Nursing

Name

Capella university

NURS-FPX4045 Nursing Informatics: Managing Health Information and Technology

Prof. Name

Date

Evidence-Based Proposal and Annotated Bibliography on Technology in Nursing

Introduction to the Selected Technology Topic

Healthcare technology has made remarkable strides in improving patient outcomes, especially for individuals suffering from chronic respiratory conditions like asthma and chronic obstructive pulmonary disease (COPD). Among recent innovations, digital sensory-enabled inhalers and wearable devices such as smartwatches have emerged as transformative tools. These technologies facilitate treatment adherence, deliver real-time physiological data, and support timely interventions (Kahnert et al., 2023).

This investigation was inspired by simulation scenarios from Sentinel U involving the character Lynn Tan, which highlighted the clinical significance of digital monitoring technologies. A focused literature review was conducted using the Capella University Library, along with databases like PubMed, CINAHL, and SpringerLink. Search terms included “digital inhalers,” “smart inhalers,” “asthma adherence technology,” “COPD remote monitoring,” and “inhaler sensors in nursing care.” Peer-reviewed studies from the past five years were selected for their relevance to the impact of digital inhalers on chronic respiratory disease management.

Assumptions

This proposal assumes that smart inhalers enhance treatment compliance and allow for real-time health monitoring in asthma and COPD patients. The reviewed literature is based on the assumption that integrating advanced inhaler technologies into clinical settings leads to better health outcomes. It is also presumed that healthcare professionals are increasingly incorporating such digital tools into routine practice as part of a broader transition to data-driven, patient-centered care.

Annotation Elements

Citation	Summary	Relevance to Nursing
Anticevich, S., et al. (2023)	Explored wearable technology, particularly smartwatches, and their ability to track vital signs and support patient adherence to treatment plans. Real-time data transfer to providers enhances care quality.	Offers insight into the value of continuous monitoring and interdisciplinary communication, improving chronic disease management strategies in nursing.
Eikholt, A. A., et al. (2023)	Reviewed six electronic monitoring devices (EMDs) used to assess inhalation technique and detect errors. These tools support patient education and serve as early detection systems.	Highlights implementation challenges such as costs and reimbursement, underscoring the role of nurses in optimizing device utilization in care protocols.
Mosnaim, G. S., et al. (2022)	Evaluated remote patient monitoring systems to improve inhaler use and adherence among COPD patients. Results showed improved clinical outcomes.	Demonstrates how real-time adherence data supports proactive nursing interventions and collaborative care adjustments.
Long, H., et al. (2023)	Analyzed digital inhaler use for treatment compliance and disease management in asthma and COPD. Emphasized real-time data tracking and enhanced health outcomes.	Identifies strategies for integrating digital tools into nursing workflows, emphasizing patient tracking and interprofessional communication.
Ramachandran, H., et al. (2023)	Investigated the facilitators and challenges of using digital inhalers for COPD management, focusing on adherence and quality of life improvements.	Provides nursing-focused insight into the benefits of digital inhalers for reducing hospitalizations and enhancing patient education.

Artificial Intelligence

Artificial Intelligence (AI) further amplifies the capabilities of digital inhalers by interpreting real-time inhaler and spirometer data. These systems identify patterns in medication usage and symptom fluctuations, allowing for early detection of exacerbations. AI can generate alerts for missed doses or abnormal readings, prompting timely intervention by healthcare providers.

According to Long et al. (2023), AI integration not only streamlines nursing tasks but also enhances safety through predictive analytics. The ability to customize care strategies based on individual patient data makes AI an indispensable component in managing chronic respiratory conditions more effectively.

Summary of Recommendations

Collective evidence from the reviewed literature confirms that digital inhalers significantly enhance the quality of care for asthma and COPD patients. Integration of AI with digital inhaler systems improves real-time tracking, enabling tailored interventions and timely adjustments (Long et al., 2023; Mosnaim et al., 2022). These technologies also improve communication within healthcare teams and support personalized care strategies (Eikholt et al., 2023).

Implementation success depends on several organizational factors, including adequate training programs, policy support, resource allocation, and a culture that fosters technological innovation. Establishing guidelines for data privacy and usage, along with leadership commitment, is critical for the effective adoption of digital inhalers.

The application of digital inhalers improves clinical outcomes, reduces hospital admissions, and enhances both patient and staff satisfaction (Ramachandran et al., 2023). These tools are thus essential components of a modern, responsive healthcare system that emphasizes efficiency, safety, and collaborative practice.

References

Anticevich, S., Bakerly, N. D., Chrystyn, H., Hew, M., & Palen, J. (2023). Advancing digital solutions to overcome longstanding barriers in asthma and COPD management. Patient Preference and Adherence, 17, 259–272. https://doi.org/10.2147/ppa.s385857

Eikholt, A. A., Hew, M., & Boven, van. (2023). Electronic monitoring devices to support inhalation technique in patients with asthma: A narrative review. Curr Treat Options Allergy, 10(1), 28–52. https://doi.org/10.1007/s40521-023-00328-7

NURS FPX 4045 Assessment 3 Technology in Nursing

Kahnert, K., Jörres, R. A., Behr, J., & Welte, T. (2023). The diagnosis and treatment of COPD and its comorbidities. PubMed, 120(25), 434–444. https://doi.org/10.3238/arztebl.m2023.027

Long, H., Li, S., & Chen, Y. (2023). Digital health in chronic obstructive pulmonary disease. Chronic Diseases and Translational Medicine, 9(2), 90–103. https://doi.org/10.1002/cdt3.68

Mosnaim, G. S., Greiwe, J., Jariwala, S. P., Pleasants, R., & Merchant, R. (2022). Digital inhalers and remote patient monitoring for asthma. The Journal of Allergy and Clinical Immunology: In Practice, 10(10), 2525–2533. https://doi.org/10.1016/j.jaip.2022.06.026

Ramachandran, H., Oh, J. L., Cheong, Y. K., Jiang, Y., Teo, J. Y. C., Seah, C. W. A., Yu, M., & Wang, W. (2023). Barriers and facilitators to the adoption of digital health interventions for COPD management: A scoping review. Heart & Lung, 59, 117–127. https://doi.org/10.1016/j.hrtlng.2023.02.004

NURS FPX 4045 Assessment 3 Technology in Nursing