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

Technological innovations are progressively reshaping the healthcare landscape, especially for patients living with chronic respiratory diseases like asthma and chronic obstructive pulmonary disease (COPD). One noteworthy advancement is the introduction of digital health tools, such as sensor-enabled smart inhalers and wearable devices like smartwatches, which monitor vital signs and provide real-time feedback. These tools contribute significantly to improving medication adherence, tracking inhaler usage, and delivering timely clinical data to healthcare professionals and patients (Kahnert et al., 2023). This annotated bibliography delves into the clinical efficacy of digital inhalers in managing asthma and COPD, conditions that require meticulous adherence to treatment. The significance of this technology was initially recognized during Sentinel U simulation scenarios involving Lynn Tan, which emphasized the potential of digital inhalers. An extensive literature review was performed using the Capella University Library and databases like PubMed, CINAHL, and SpringerLink. Keywords included “smart inhalers,” “COPD digital monitoring,” and “inhaler sensors in nursing care.” The reviewed sources consist of peer-reviewed studies from the past five years that explore the clinical applications and outcomes associated with digital inhalers.

Assumptions

The primary assumption is that digital inhalers can greatly improve patient compliance and support real-time monitoring of chronic respiratory diseases. The selected literature assumes that technological upgrades in inhaler design can lead to enhanced patient outcomes and more effective disease management. Another underlying assumption is that healthcare practitioners are increasingly adopting these technologies within routine clinical care as part of the broader trend toward digital health transformation.

Annotation Elements

Citation	Summary of Key Findings	Relevance to Nursing Practice
Anticevich, S., Bakerly, N. D., Chrystyn, H., Hew, M., & Palen, J. (2023).	This study evaluated the use of smartwatches for continuous monitoring in asthma and COPD patients. These devices track vital signs, support early detection of exacerbations, and enhance adherence.	Smartwatches offer nurses real-time clinical data, enabling more personalized care and stronger interdisciplinary coordination in managing chronic respiratory conditions.
Eikholt, A. A., Hew, M., & van Boven. (2023).	The article reviews six types of electronic monitoring devices (EMDs) that detect inhalation technique errors. Although effective, the review points out cost concerns and implementation barriers.	Nurses benefit from EMDs by using them for patient education and monitoring adherence, but must also address reimbursement issues and integrate these tools into routine workflows.
Mosnaim, G. S., Greiwe, J., Jariwala, S. P., Pleasants, R., & Merchant, R. (2022).	The study highlighted digital tools for remote monitoring in COPD, showing improved adherence, reduced exacerbations, and enhanced quality of care through digital platforms.	Nurses can adapt treatment plans in real time using adherence data from digital inhalers, fostering a collaborative and responsive care environment.
Long, H., Li, S., & Chen, Y. (2023).	This article discussed digital inhalers’ role in improving adherence, medication tracking, and reducing errors. It also emphasized improved health outcomes and teamwork.	The findings support nurses in implementing digital tools to monitor patient progress and collaborate with interdisciplinary teams for better disease management.
Ramachandran, H., et al. (2023).	The article explored barriers and facilitators to adopting digital health interventions in COPD care. It emphasized enhanced adherence and reduced hospitalizations.	For nursing professionals, the study underscores the importance of understanding organizational and patient-level factors to successfully implement digital tools.

Artificial Intelligence

Artificial Intelligence (AI) serves as a powerful complement to digital inhaler technology by analyzing real-time data from devices such as spirometers and inhalers. This capability enables healthcare providers to track patient adherence patterns and anticipate exacerbations. AI algorithms can detect skipped doses or usage irregularities, alerting clinicians to intervene proactively. As Long et al. (2023) illustrated, AI integration streamlines nursing workflows, enhances patient safety, and allows for the creation of personalized care strategies. Ultimately, AI supports both improved clinical outcomes and operational efficiency in managing chronic respiratory diseases.

Summary of Recommendations

The reviewed literature collectively supports the conclusion that digital inhalers and associated health technologies enhance healthcare quality through improved adherence, better clinical outcomes, and efficient workflows. Integrating AI with digital inhalers facilitates real-time data analysis, enabling timely interventions and personalized care (Long et al., 2023; Mosnaim et al., 2022). For nursing professionals, these tools offer actionable data to adjust care plans dynamically and enhance collaboration among interdisciplinary teams (Eikholt et al., 2023). Furthermore, the deployment of these tools contributes to overall healthcare efficiency and safety (Anticevich et al., 2023).

Successful adoption, however, is dependent on organizational readiness. Key considerations include policy development, staff training, cultural acceptance of technology, and sufficient resource allocation. Institutional leadership must prioritize staff education, ensure compliance with data privacy standards, and formulate policies for digital device use. Digital inhalers also support patient autonomy and reduce hospitalization rates, which is essential for managing chronic diseases such as asthma and COPD (Ramachandran et al., 2023). Additionally, nursing staff benefit from improved workflow and job satisfaction due to enhanced collaboration and efficiency brought by digital tools.

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. (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

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