Capella FPX 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 advancements in healthcare technology have significantly improved the management of chronic respiratory diseases such as asthma and chronic obstructive pulmonary disease (COPD). Among these innovations are sensor-enabled inhalers and wearable devices like smartwatches, which play a critical role in tracking vital signs and promoting medication adherence. These technologies help patients maintain their treatment routines while allowing clinicians to access real-time data for better clinical decisions (Chan et al., 2021). This interest was triggered during the Sentinel U simulations, specifically involving the case of Lynn Tan, which prompted a deeper examination of these tools’ clinical applications. A thorough literature review was conducted using Capella University Library resources, including databases such as PubMed, CINAHL, and SpringerLink. Key terms in the search included “digital inhalers,” “COPD technology adherence,” “remote monitoring,” and “smartwatches in nursing care.” Articles selected for the annotated bibliography were peer-reviewed, published within the last five years, and focused on the effectiveness of digital technologies in treating asthma and COPD.

Assumptions

The underlying assumptions include the belief that integrating smart technologies—such as wearable devices and digital inhalers—significantly improves the clinical management of chronic respiratory illnesses. It is presumed that enhanced patient monitoring and increased adherence via these tools contribute to better outcomes. Furthermore, it is assumed that the real-time data collected is both usable and valuable to both healthcare providers and patients. Another assumption is that the selected research from credible academic databases is current and applicable to modern nursing practices.

Annotation Elements

Study	Summary	Relevance to Nursing Practice
Aung et al. (2024)	This systematic review evaluates remote digital interventions aimed at improving medication adherence in COPD patients. The evidence suggests such interventions significantly boost treatment compliance and symptom control.	The study emphasizes real-time data sharing through digital inhalers, aiding nursing teams in adjusting treatment plans proactively.
Chan et al. (2021)	This review explores how digital inhalers improve patient adherence and offer real-time feedback. It discusses these technologies’ ability to support remote monitoring and clinical decision-making.	It provides insights into remote disease management and how interdisciplinary teams can use inhaler data for individualized care plans.
Cokorudy et al. (2024)	Through analysis of digital biomarkers, the study highlights patterns that predict asthma exacerbations, enabling early intervention. Parameters like heart rate and cough frequency proved significant.	This resource enhances proactive asthma care strategies in nursing by identifying early warning signs and facilitating timely responses.
Erbay et al. (2025)	Investigates the reliability of SpO2 readings from smartwatches versus clinical tools in COPD patients. The findings support smartwatch use as a non-invasive, moderately accurate tool.	Nurses can utilize this technology for continuous oxygen monitoring, empowering patient engagement and safety through home-based care.
Feng et al. (2021)	Reviews AI integration into chronic respiratory disease management, emphasizing predictive analytics and patient-specific interventions. AI identifies patterns in device usage to optimize care.	Highlights the synergy between AI and digital inhalers, showing how nurses can use these tools for precision care and early intervention.

Artificial Intelligence

Artificial intelligence (AI) has emerged as a critical asset in enhancing digital healthcare tools, particularly in respiratory disease management. AI-enabled systems can assess data from digital inhalers and wearable sensors to predict exacerbations and track medication usage. These intelligent platforms can identify deviations in patient behavior and alert healthcare teams for timely interventions. As discussed by Feng et al. (2021), AI not only improves clinical accuracy but also eases the nursing workload by automating monitoring and customizing treatment strategies. These innovations support better patient outcomes through anticipatory care and real-time analytics, further reinforcing the value of digital tools in chronic care environments.

Summary of Recommendations

The compiled literature demonstrates that incorporating digital inhalers, wearable technology, and AI into healthcare settings yields substantial benefits in managing asthma and COPD. These tools collectively foster medication adherence, allow for the early identification of symptom deterioration, and facilitate personalized care strategies. Organizational adoption depends on adequate technical resources, policy support for digital health, and staff readiness for interdisciplinary collaboration. Studies such as Aung et al. (2024) and Chan et al. (2021) confirm enhanced medication adherence and fewer disease exacerbations. Meanwhile, Cokorudy et al. (2024) and Erbay et al. (2025) provide strong evidence for the clinical use of digital biomarkers and wearable devices. Feng et al. (2021) further illustrates how AI augments these technologies by enabling predictive and personalized care. Together, these findings advocate for broader adoption of digital innovations in nursing practice to improve patient satisfaction, clinical outcomes, and workforce efficiency.

References

Aung, H., Tan, R., Flynn, C., Wright, A., Murphy, A., Shaw, D., Ward, T. J. C., & Greening, N. J. (2024). Digital remote maintenance inhaler adherence interventions in COPD: A systematic review and meta-analysis. European Respiratory Review, 33(174). https://doi.org/10.1183/16000617.0136-2024

Chan, A. H. Y., Pleasants, R. A., Dhand, R., Tilley, S. L., Schworer, S. A., Costello, R. W., & Merchant, R. (2021). Digital inhalers for asthma or chronic obstructive pulmonary disease: A scientific perspective. Pulmonary Therapy, 7(2). https://doi.org/10.1007/s41030-021-00167-4

Cokorudy, B., Harrison, J., & Hai, A. (2024). Digital markers of asthma exacerbations – A systematic review. European Respiratory Journal Open Research, 10(6). https://doi.org/10.1183/23120541.00014-2024