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

Recent developments in healthcare technology have significantly reshaped how care is delivered to patients with chronic respiratory diseases such as asthma and chronic obstructive pulmonary disease (COPD). Among the most impactful tools are digital inhalers and smartwatches that monitor vital signs. These technologies offer improved medication adherence, real-time health data sharing, and enhanced disease management (Kahnert et al., 2023). This annotated bibliography examines the relevance of digital inhalers in the clinical management of asthma and COPD, which require consistent treatment compliance. Insights from Sentinel U simulations, particularly involving the patient Lynn Tan, emphasized the necessity for such technologies in respiratory care. A comprehensive literature review was conducted using Capella University’s library and scholarly databases including CINAHL, PubMed, and SpringerLink. Search terms comprised “digital inhalers,” “asthma monitoring technology,” “smart inhalers,” and “COPD adherence tools.” Selected studies span the last five years and focus on evidence-based findings related to the implementation and effectiveness of digital inhalers in clinical environments.

Assumptions

The literature assumes that integrating digital inhalers in chronic respiratory care leads to improved adherence and better disease monitoring for patients with asthma and COPD. It is also presumed that healthcare systems are increasingly embracing these technologies as part of their digital transformation efforts. Further assumptions include the capability of these tools to enhance nursing workflows, foster interdisciplinary collaboration, and deliver superior patient outcomes.

Annotation Elements

Citation	Summary
Anticevich et al. (2023)	This study evaluated smartwatches used alongside digital inhalers to monitor respiratory conditions. The devices provide real-time physiological data and improve medication adherence. For nurses, the data facilitates tailored care and boosts interprofessional communication. Chosen for its extensive review of wearable technologies in respiratory care.
Eikholt et al. (2023)	Reviewed various electronic monitoring devices (EMDs) for inhaler technique, identifying six types with unique sensor and feedback capabilities. These devices detect errors and enhance patient education. Despite promising utility, cost and implementation barriers remain. Selected for its in-depth analysis of EMD features and practical use in clinical settings.
Mosnaim et al. (2022)	Assessed digital adherence programs for COPD patients. Results indicated improved safety, reduced exacerbations, and better patient engagement. Real-time data allows clinicians to adjust treatment quickly. This study was included for its relevance to evidence-based adherence strategies using digital health platforms.
Long et al. (2023)	Focused on how digital inhalers improve compliance, reduce medication errors, and enhance long-term health outcomes in COPD and asthma. It underlined nurses’ ability to monitor patient behavior effectively. This article was selected for its guidance on integrating these technologies into everyday practice.
Ramachandran et al. (2023)	Discussed digital adherence and triple inhaler therapy in COPD care. Findings emphasized reduced hospital visits and enhanced quality of life. Also explored barriers to implementation and strategies for overcoming them. Chosen for its practical insights into adoption challenges and clinical benefits.

Artificial Intelligence

Artificial Intelligence (AI) has emerged as a transformative component of digital inhaler technology. AI enhances functionality by interpreting inhaler and spirometer data to detect adherence patterns and predict symptom exacerbations. It enables personalized care by issuing alerts for missed doses or deteriorating health trends. As noted by Long et al. (2023), AI integration streamlines clinical tasks, supports early intervention, and improves care outcomes. Its incorporation into smart inhalers offers real-time decision support for nurses and healthcare providers.

Summary of Recommendations

Findings from the analyzed literature collectively support the integration of digital inhalers as a means to improve care quality, nursing efficiency, and patient safety. With AI-driven analytics, healthcare teams can monitor adherence and adjust treatment plans based on real-time data (Long et al., 2023; Mosnaim et al., 2022). These devices also foster stronger team collaboration by offering actionable insights for individualized care planning (Eikholt et al., 2023). The technology supports enhanced patient outcomes and streamlined operations (Anticevich et al., 2023).

Organizational factors such as institutional policies, budgetary support, staff training, and culture readiness must be addressed for successful implementation. Training programs, leadership support, and clear data security protocols are essential to adoption. According to Ramachandran et al. (2023), digital inhalers improve patient satisfaction, reduce hospitalization rates, and support self-management. Healthcare professionals benefit from enhanced collaborative practices and greater job satisfaction due to the technology’s efficiency and effectiveness.

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., & van Boven, J. (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