Capella 4045 Assessment 3

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

The rapid progression of healthcare technology continues to influence patient management, particularly for chronic respiratory diseases such as asthma and chronic obstructive pulmonary disease (COPD). Among the innovative tools emerging in this domain are digital inhalers and smartwatches that provide continuous monitoring of vital signs. These devices are being integrated into routine care to enhance treatment adherence, enable real-time data sharing, and improve communication between patients and healthcare teams (Kahnert et al., 2023).

This proposal is centered on the clinical value of digital inhalers, identified during an evaluation of Sentinel U simulation activities that included a patient named Lynn Tan. The simulation revealed how these technologies could impact clinical decision-making and chronic disease management. A literature review was conducted through academic platforms such as the Capella University Library, PubMed, CINAHL, and SpringerLink. Search terms included “digital inhalers,” “smart inhalers,” “COPD remote monitoring,” “asthma adherence technology,” and “inhaler sensors in nursing care.” The review focused on scholarly, peer-reviewed articles from the past five years, with a particular emphasis on how digital inhalers impact the clinical outcomes of asthma and COPD patients.

Assumptions

The evidence gathered in this review is grounded on several assumptions. Firstly, digital inhalers can significantly improve patient adherence to treatment plans by offering real-time usage feedback. Secondly, healthcare providers are increasingly incorporating digital inhalers into chronic disease management protocols, indicating a shift toward digital health integration. Lastly, the assumption is made that these technologies not only contribute to better clinical outcomes but also enhance operational efficiency by supporting timely interventions, patient education, and interdisciplinary care.

---

Annotation Elements

The table below summarizes the key findings from selected articles. Each annotation includes the purpose, relevance to nursing practice, key outcomes, and rationale for inclusion in the proposal.

Citation	Summary & Key Findings	Relevance to Nursing Practice	Reason for Inclusion
Anticevich et al. (2023)	Explores smartwatch-enabled monitoring for asthma and COPD patients, emphasizing real-time tracking and improved disease self-management.	Enhances patient safety and enables real-time data sharing for personalized nursing care.	Provides strong evidence on wearable technology’s role in managing chronic conditions.
Eikholt et al. (2023)	Reviews six electronic monitoring devices (EMDs) assessing inhalation techniques, highlighting differences in sensors, cost, and clinical utility.	Offers tools for detecting inhaler misuse, guiding patient education, and refining technique.	Valuable for understanding practical barriers to adoption and usability in nursing.
Mosnaim et al. (2022)	Analyzes remote monitoring systems linked with digital inhalers, showing improved adherence and symptom control.	Enables nurses to track medication adherence in real-time and adjust care plans accordingly.	Chosen for its focus on remote care integration in COPD and asthma management.
Long et al. (2023)	Reviews benefits and limitations of digital inhalers in chronic respiratory care. Highlights real-time tracking and improved adherence.	Supports nursing interventions with accurate data on inhaler use and patient behavior.	Offers practical strategies for incorporating digital inhalers into nursing protocols.
Ramachandran et al. (2023)	Identifies barriers and enablers to smart inhaler use, such as usability, training, and digital literacy.	Informs nurse-led strategies for adoption, training, and cultural adaptation in clinical settings.	Provides insight into organizational and user-related factors affecting implementation.

Artificial Intelligence Integration

Artificial Intelligence (AI) enhances digital inhalers by analyzing usage patterns and predicting symptom exacerbations. AI algorithms can interpret real-time input from devices such as inhalers and spirometers, identifying deviations from normal usage and alerting providers to take early action. These AI-driven systems foster personalized care strategies by recognizing trends in patient behavior and treatment response. Long et al. (2023) emphasize that AI integration improves clinical surveillance, reduces workload, and increases safety by triggering timely interventions. In nursing, this promotes more accurate decision-making, reduces preventable hospitalizations, and enables proactive chronic disease management.

Summary of Recommendations

Collectively, the reviewed literature supports the integration of digital inhalers as a promising tool in improving clinical care for asthma and COPD. The evidence demonstrates that digital monitoring technologies not only enhance medication adherence and symptom tracking but also streamline nursing workflows. AI-enhanced devices further allow real-time clinical adjustments, improving both patient safety and healthcare efficiency (Mosnaim et al., 2022; Long et al., 2023).

To implement digital inhalers successfully, organizations must assess factors such as staff training, cost, and infrastructure. Leadership commitment, policies ensuring data security, and staff education are pivotal to ensuring smooth adoption. Nurses play a crucial role in facilitating device use, providing patient education, and contributing to interdisciplinary coordination. Research findings affirm that smart inhalers reduce hospitalization rates, promote independence in self-care, and increase nurse satisfaction by improving care quality (Ramachandran et al., 2023). These benefits make digital inhalers an essential innovation in modern 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. Current Treatment Options in Allergy, 10(1), 28–52. https://doi.org/10.1007/s40521-023-00328-7

Capella 4045 Assessment 3

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 

Capella 4045 Assessment 3