NURS FPX 4045 Assessment 3 Technology in Nursing
Student 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
1. Introduction to the Selected Technology Topic
Technological innovations in healthcare are revolutionizing the management of chronic diseases, particularly respiratory conditions such as asthma and chronic obstructive pulmonary disease (COPD). One of the most significant advancements is the emergence of smart inhalers and wearable devices like smartwatches that monitor vital signs. These tools help track patient adherence, detect early symptoms of exacerbation, and enhance communication between patients and healthcare providers (Kahnert et al., 2023). The clinical value of these technologies was underscored in Sentinel U simulation scenarios, especially in the case of Lynn Tan, prompting a deeper investigation into their practical utility. A structured literature review was conducted through databases including CINAHL, PubMed, SpringerLink, and the Capella University Library using keywords such as “digital inhalers,” “smart inhalers,” “asthma adherence technology,” and “COPD monitoring in nursing.”
The selected peer-reviewed studies focus on evaluating how digital inhalers and associated technologies affect disease management in clinical settings. These studies explore real-time symptom monitoring, improved treatment compliance, and interdisciplinary data sharing. The analysis is grounded on the assumption that these devices can positively affect both patient outcomes and nursing workflows. Furthermore, the review assumes growing integration of digital inhalers into routine clinical care as part of the larger digital health transformation.
2. Annotated Bibliography
The table below summarizes key findings from six peer-reviewed sources exploring the application of digital technologies—specifically smart inhalers and monitoring devices—in respiratory care.
| Author(s) & Year | Main Focus | Findings | Implications for Nursing |
|---|---|---|---|
| Anticevich et al. (2023) | Wearable tech (smartwatches) for asthma/COPD | Real-time tracking improves disease control and outcomes | Enhances personalized care, supports early detection of symptoms |
| Eikholt et al. (2023) | Electronic monitoring devices (EMDs) for inhalation technique | EMDs detect technique errors and support patient education | Nurses can use feedback to correct misuse and reduce exacerbations |
| Mosnaim et al. (2022) | Remote patient monitoring with digital inhalers | Improves adherence and symptom control | Allows real-time data for modifying care plans and improving teamwork |
| Long et al. (2023) | Digital inhaler integration in chronic disease management | Promotes accurate medication usage and team collaboration | Nurses can track medication use and ensure treatment adherence |
| Ramachandran et al. (2023) | Barriers and facilitators in digital adoption | Improved outcomes and reduced hospital visits; barriers include cost and training | Emphasizes importance of policy, training, and leadership support |
In addition to these findings, Artificial Intelligence (AI) plays a pivotal role in enhancing smart inhalers. AI algorithms can identify usage patterns, predict exacerbations, and support the creation of individualized care strategies. When paired with inhaler sensors or spirometers, AI-driven platforms deliver alerts to healthcare teams about skipped doses or worsening symptoms, ensuring proactive care (Long et al., 2023). Nurses benefit from reduced workload and improved patient surveillance capabilities, contributing to more efficient and responsive clinical interventions.
3. Summary of Recommendations
The literature consistently supports the adoption of digital inhalers as a means to elevate patient safety, improve adherence, and enhance interdisciplinary collaboration. Integration of AI and real-time data systems into inhaler devices offers an innovative method for tracking patient medication use, thereby reducing the frequency of acute exacerbations and hospitalizations. These devices provide healthcare professionals with actionable data that facilitates patient-specific care planning (Mosnaim et al., 2022).
Moreover, the use of digital technologies in nursing can lead to better patient satisfaction and improved staff retention by streamlining workflows and promoting effective care delivery. However, successful integration into clinical practice depends on institutional factors such as resource availability, organizational culture, leadership support, and comprehensive staff training. The table below outlines these key implementation considerations:
| Organizational Factor | Recommendation |
|---|---|
| Policies & Protocols | Develop clear guidelines for data protection and device usage |
| Resource Allocation | Ensure availability of funding for device acquisition and maintenance |
| Staff Training | Provide ongoing training on device functionality and patient coaching |
| Leadership Engagement | Promote innovation through visible leadership support and goal alignment |
Digital inhalers not only enhance clinical outcomes but also enable patients and healthcare teams to collaborate effectively, ensuring that chronic respiratory conditions like asthma and COPD are managed proactively and efficiently. The studies reviewed affirm that digital inhalers represent a foundational component of modern, evidence-based respiratory care.
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
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
NURS FPX 4045 Assessment 3 Technology in Nursing
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
