NURS FPX 4045 Assignment 3 Technology in Nursing
NURS FPX 4045 Assignment 3 Technology in Nursing
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
Healthcare technologies have made prominent advancements, helping patients, particularly those with breathing problems like chronic obstructive pulmonary disease (COPD) and asthma. Among the most prominent are smartwatches that monitor vital signs and sensor-enabled digital inhalers. These tools are gaining attention for their ability to improve how consistently patients take their medications, monitor inhaler use over time, and deliver immediate insights to both users and medical professionals (Chan et al., 2021). Annotated bibliography of digital inhalers for use in asthma and COPD, two conditions requiring constant adherence to treatment.
While reading Sentinel U simulation scenarios, particularly those involving patient Lynn Tan, this curiosity arose regarding the clinical effects of such technologies. To further explore this, a systematic review of the literature was conducted using the Capella University Library and databases such as PubMed, CINAHL, and SpringerLink. The keywords that were used were “smartwatches,” “digital inhalers,” “COPD remote monitoring,” “COPD technology adherence,” and “sensor enabled inhalers in nursing.” The final picks consisted of peer-reviewed literature dating from the last five years that focused on the efficacy of digital inhalers in the clinical application for asthma and COPD dealing.
Assumptions
It assumes that the use of digital health technologies, such as smartwatches and sensor-based inhalers, makes a prominent difference in the management of chronic respiratory disease. It assumes that enhanced monitoring and compliance using these devices result in improved clinical results for asthma and COPD patients. It also assumes that the data captured using digital devices are actionable and available to both patients and clinicians. Moreover, it assumes that research compiled from scholarly databases is current and pertinent, with findings that are transferable to actual clinical practice.
Annotation Elements
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
The study evaluated digital remote maintenance programs to enhance inhaler adherence among patients with COPD. Several studies contributed their results to the publication, which examined the benefits of digital intervention for patient medication adherence and clinical outcomes. This research has demonstrated that digital intervention platforms enhance patient safety outcomes by preventing inhaler misuse and improving patient treatment compliance.
Better adherence rates lead to improved symptom control, decreased exacerbations, and superior quality care. The nursing practice utilizes digital remote adherence interventions to deliver real-time medication use data, enabling healthcare staff to promptly modify treatment plans. The interdisciplinary group can work more effectively together to manage COPD patients using these mobile devices. This publication was chosen because it examines digital health approaches to managing COPD patient adherence, as adherence is essential for improving final patient outcomes. Evidence-based strategies for improving patient care and adherence are vital for healthcare practitioners, as supported by research findings.
NURS FPX 4045 Assignment 3 Technology in Nursing
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
This review article focuses on the role of digital inhalers in the treatment of asthma and COPD, with an emphasis on how these technology-based devices enhance adherence and provide real-time information for informed clinical decision-making. These products enhance the quality of care and patient safety by providing precise, unbiased monitoring of inhaler technique and use, enabling individualized interventions and early detection of nonadherence.
For nurses and interdisciplinary teams of healthcare providers, electronic inhalers offer a new approach to remote monitoring and patient interaction, facilitating the optimization of chronic disease management through shared information and decision-making. It was chosen because it provides an in-depth scientific analysis of a technology already having an impact on respiratory care and is poised to transform clinical practice. It’s a must-read for health professionals seeking to understand better and implement digital health tools in chronic respiratory management.
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
NURS FPX 4045 Assignment 3 Technology in Nursing
This systematic review examines how digital technology can detect early markers of asthma exacerbation, aiming to enhance disease monitoring and prevention. The article discusses 23 studies on digitally measured markers like lung function, medication, heart rate, cough, and environmental parameters. Although the evidence of lung function was inconsistent, there were consistent correlations between exacerbations and the use of elevated short-acting β-agonist (SABA), higher heart rate, and increased cough frequency. This technology has the effect of improving patient care and quality by allowing for the early identification of deteriorating symptoms.
It could enable timely interventions that minimize hospitalization and maximize outcomes. For interdisciplinary and nursing teams, digital biomarkers offer a crucial tool for anticipatory, evidence-based asthma control and remote patient monitoring. This article was selected because it effectively highlights real-world, evidence-based applications of new technology in the management of chronic illnesses. It is an important resource for clinicians seeking to improve asthma care by early detection and directed response.
Erbay, Ü. T., Parspur, Ş., Arikan, İ., Yılmaz, Z. Y., Koçak, H., Marim, F., Kaya, İ., & Doğan, M. (2025). Are smart watches really smart? Comparison of blood oxygen saturation values measured by smart watch, pulse oximetry and arterial blood gases in patients with chronic obstructive pulmonary diseases. International Journal of COPD, 20, 1457–1463. https://doi.org/10.2147/copd.s500643
NURS FPX 4045 Assignment 3 Technology in Nursing
This study evaluates the accuracy of oxygen saturation (SpO2) readings obtained from smartwatches compared to those from pulse oximeters and arterial blood gas (ABG) analysis in patients with COPD. The researchers conducted a cross-sectional study involving 100 patients with COPD and found that smartwatch measurements had a moderate correlation with the gold-standard ABG measures, indicating that smartwatches provide a sufficiently accurate, non-invasive means of monitoring oxygen levels.
The results underscore the promise of this technology to improve patient safety by facilitating ongoing monitoring and prompt detection of hypoxemia, thereby promoting timely interventions and improved disease control. For nurses and interdisciplinary healthcare teams alike, smartwatches provide an easy-to-use tool to facilitate remote patient monitoring and encourage patients to engage in self-care. This book was chosen because it closes the gap between consumer wearable technology and evidence-based clinical practice, providing insights into the changing role of digital tools in chronic disease management. As a result, it is a must-read for contemporary healthcare providers who seek to harness technology in care delivery.
Artificial Intelligence
Artificial Intelligence (AI) can enhance the performance of digital inhalers by assessing real-time data from devices like inhalers and spirometers to track adherence and forecast possible exacerbations. AI systems also have the capacity to enhance the detection of behavioral patterns and usage trends, creating personalized care plans for specific patients. For example, AI would notify healthcare professionals when a patient has missed a dose or shows a reduction in symptoms, enabling timely and focused interventions. Feng et al. (2021) state that the integration of AI and digital inhaler technology allows for enhanced clinical management, simplifies nursing work, and maintains patient safety through early data-driven care adjustments. The synergy ultimately enhances the efficiency and effectiveness of chronic respiratory care.
Feng, Y., Wang, Y., Zeng, C., & Mao, H. (2021). Artificial intelligence and machine learning in chronic airway diseases: Focus on asthma and chronic obstructive pulmonary disease. International Journal of Medical Sciences, 18(13), 2871–2889. https://doi.org/10.7150/ijms.58191
NURS FPX 4045 Assignment 3 Technology in Nursing
The review examines the application of AI in chronic airway diseases, including asthma and COPD. It presents applications of AI for screening, diagnosis, classification, monitoring, and treatment and has the ability to transform disease management via precision medicine. The technologies enhance patient safety and quality of care by improving diagnostic accuracy, predicting exacerbations, and providing customized treatment plans.
For interprofessional teams and nurses, AI enables data-driven decision-making and efficient workflows by combining electronic health records, imaging, and patient monitoring into actionable intelligence. This report was chosen for its thorough consideration of implementing AI in two high-burden chronic illnesses and presenting useful lessons in enhancing the quality of care. It is a must-read for healthcare professionals wishing to maximize the use of AI in the clinic. Merging AI with digital inhalers, for example, can identify suboptimal adherence or technique in real-time, lower risks of exacerbations, and empower nurses to act early, ultimately enhancing outcomes and healthcare effectiveness.
Summary of Recommendations
The integration of findings from the five reviewed publications highlights the transformative ability of digital health technologies—particularly digital inhalers, wearable sensors, and AI-powered systems—in the management of asthma and COPD. These tools enhance adherence, facilitate early detection of exacerbations, and support personalized interventions, collectively improving patient safety, clinical outcomes, and care quality. Organizational factors that influence the adoption of such technologies include the availability of financial and technical resources, leadership commitment, and a culture receptive to innovation. Policies supporting telehealth, adequate staff training programs, and a commitment to interdisciplinary collaboration are also vital.
The implementation of these technologies is justified through consistent evidence: Aung et al. (2024) and Chan et al. (2021) confirmed increased treatment following and reduced exacerbation risks through digital inhaler interventions, while Cokorudy et al. (2024) demonstrated the value of digital biomarkers for timely diagnosis of asthma deterioration. Erbay et al. (2025) validated the clinical utility of smartwatches for oxygen monitoring, bridging consumer technology and evidence-based practice. Feng et al. (2021) noted the manner in which AI optimizing these technologies provides predictive analytics and personalized care. These studies confirm that the use of such technologies in healthcare settings promotes interdisciplinary workflow, improves patient satisfaction through improved outcomes and participation, and may maintain staff retention by reducing burnout through effective monitoring and intervention mechanisms.
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
NURS FPX 4045 Assignment 3 Technology in Nursing
Erbay, Ü. T., Parspur, Ş., Arikan, İ., Yılmaz, Z. Y., Koçak, H., Marim, F., Kaya, İ., & Doğan, M. (2025). Are smart watches really smart? Comparison of blood oxygen saturation values measured by smart watch, pulse oximetry and arterial blood gases in patients with chronic obstructive pulmonary diseases. International Journal of COPD, 20, 1457–1463. https://doi.org/10.2147/copd.s500643
Feng, Y., Wang, Y., Zeng, C., & Mao, H. (2021). Artificial intelligence and machine learning in chronic airway diseases: Focus on asthma and chronic obstructive pulmonary disease. International Journal of Medical Sciences, 18(13), 2871–2889. https://doi.org/10.7150/ijms.58191