Capella 4045 Assessment 3

Capella 4045 Assessment 3

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

Introduction to the Selected Technology Topic

The rapid evolution of healthcare technology has revolutionized the management of chronic diseases, particularly respiratory conditions like asthma and chronic obstructive pulmonary disease (COPD). Among the most impactful developments are digital inhalers and smart wearable devices such as smartwatches, which provide real-time physiological monitoring. These devices not only facilitate timely clinical interventions but also encourage treatment adherence by delivering direct feedback to both patients and healthcare professionals (Kahnert et al., 2023). The relevance of this technology was underscored in the Sentinel U simulation scenario involving a patient named Lynn Tan, prompting a detailed investigation into the potential of digital inhalers as a tool for improving respiratory care outcomes.

A systematic literature review was conducted through databases such as PubMed, SpringerLink, and CINAHL, accessed via Capella University Library. The search strategy employed terms like “digital inhalers,” “asthma adherence technology,” “COPD remote monitoring,” and “inhaler sensors in nursing care.” This review focused on peer-reviewed sources from the last five years that evaluated the role of digital inhalers in clinical practice for asthma and COPD management. The selected literature highlights the importance of technology in optimizing medication compliance, reducing hospitalizations, and supporting healthcare teams in chronic disease monitoring.

Assumptions

This review is based on the assumption that digital inhalers can enhance medication adherence and support real-time disease tracking, which is essential for improving clinical outcomes in patients with asthma and COPD. It is also assumed that the adoption of smart inhaler technology aligns with the broader integration of digital health tools into chronic disease management. Furthermore, the literature reviewed presumes that nursing professionals and healthcare systems are increasingly recognizing the value of such devices in delivering patient-centered care and reducing treatment gaps.

Annotation Elements

The table below summarizes key insights from five peer-reviewed studies, highlighting the contribution of digital inhalers and related technology to patient care:

Author(s) & Year	Study Focus	Key Findings	Relevance to Nursing Practice
Anticevich et al. (2023)	Use of smartwatches in chronic respiratory management	Smartwatches aid in continuous monitoring, early exacerbation detection, and adherence	Enables data-driven, personalized nursing care and interprofessional collaboration
Eikholt et al. (2023)	Evaluation of EMDs for asthma	Devices identify inhalation errors; cost ranges from $100–$500	Offers tools for patient education and improved adherence monitoring
Mosnaim et al. (2022)	Digital inhalers and remote COPD monitoring	Digital interventions improve adherence and reduce symptom severity	Real-time data helps nurses adjust care plans promptly and collaborate across teams
Long et al. (2023)	Integration of digital health tools in COPD	Digital inhalers reduce medication errors, enhance adherence	Provides guidelines for nurses on implementing technology in daily care routines
Ramachandran et al. (2023)	Barriers/facilitators of digital interventions in COPD	Smart inhalers improve outcomes but face adoption challenges	Offers insights into implementation strategies and policy considerations for nursing leaders

Each article was selected for its unique contribution to understanding the clinical integration, usability, and effectiveness of digital inhalers in respiratory disease management.

Artificial Intelligence

Artificial Intelligence (AI) plays a pivotal role in optimizing the use of digital inhalers. AI systems can analyze behavioral patterns and predict exacerbations by interpreting data from inhalers, spirometers, and other monitoring tools. These insights allow healthcare professionals to intervene proactively when medication nonadherence or worsening symptoms are detected. According to Long et al. (2023), AI integration not only boosts clinical efficiency but also supports nurses by automating data analysis and informing patient-specific care decisions. This synergy between AI and medical devices ensures responsive care, particularly in the management of chronic respiratory conditions.

Summary of Recommendations

Based on the literature review, it is evident that digital inhalers and associated technologies significantly enhance the quality of care for patients with asthma and COPD. The integration of AI enables real-time monitoring and predictive analytics, supporting nurses in delivering more responsive and efficient care (Long et al., 2023; Mosnaim et al., 2022). Moreover, digital inhalers facilitate personalized treatment plans and strengthen team-based care by ensuring that patient data is shared and actionable across disciplines (Eikholt et al., 2023).

However, successful implementation requires a supportive organizational infrastructure. Policies must address data privacy, device interoperability, and reimbursement models. Additionally, healthcare facilities must invest in training programs to equip staff with the knowledge and skills needed to use these technologies effectively. A culture that embraces innovation, combined with leadership support and clearly defined protocols, is essential for maximizing the benefits of digital health tools. As demonstrated in Ramachandran et al. (2023), such systems not only improve clinical outcomes and reduce hospitalization rates but also promote staff satisfaction by streamlining workflows and fostering interdisciplinary coordination.

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

Capella 4045 Assessment 3

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

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