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 integration of digital health technologies has become a cornerstone of modern healthcare delivery, particularly in the management of chronic illnesses such as Chronic Obstructive Pulmonary Disease (COPD). Telehealth nursing leverages tools such as videoconferencing systems and mobile health applications to facilitate remote patient monitoring, virtual consultations, and continuous education. These technologies reduce the need for in-person visits while enabling consistent clinical oversight, ultimately minimizing hospital admissions and preventing disease exacerbations.
Telehealth interventions also strengthen patient-provider communication by enabling real-time interaction and data sharing. Evidence from clinical simulations and research, including telehealth-based nursing models, indicates that remote care technologies enhance patient participation in self-management and improve early identification of clinical deterioration. Consequently, healthcare providers can intervene promptly, ensuring continuity and quality of care across settings.
To support this proposal, a comprehensive literature search was conducted using Capella University’s academic databases, including PubMed, CINAHL, and ProQuest Nursing & Allied Health Source. The following research questions guided the search:
What keywords were used to identify relevant literature?
The search incorporated terms such as:
- Telehealth and COPD
- Videoconferencing in COPD management
- Smartphone applications for COPD
- Remote monitoring of respiratory conditions
- Patient safety in COPD telehealth
What criteria were used to select articles?
Only peer-reviewed, full-text studies published within the past five years were included to ensure the relevance, reliability, and applicability of findings to current nursing practice.
Assumptions
The effectiveness of telehealth interventions in COPD care depends on several foundational assumptions related to accessibility, competency, and system reliability. These assumptions influence both implementation success and patient outcomes.
What are the key assumptions underlying telehealth in COPD management?
| Assumption Category | Description |
|---|---|
| Patient Access | Individuals have access to smartphones, videoconferencing tools, and stable internet connectivity. |
| Digital Literacy | Patients possess the necessary skills to operate telehealth platforms and applications effectively. |
| Nursing Competence | Nurses are adequately trained to interpret remotely collected data and make informed clinical decisions. |
| Patient Engagement | Telehealth encourages adherence to treatment plans and promotes self-care behaviors. |
| Data Security | Systems are secure and ensure confidentiality of patient health information. |
When these conditions are satisfied, telehealth can significantly improve disease monitoring, treatment adherence, and overall patient outcomes (Bowman et al., 2023).
Annotated Bibliography
Bowman et al. (2023)
Reference:
Bowman, M., Jalink, M., Sharpe, I., Srivastava, S., & Don Thiwanka Wijeratne. (2023). Videoconferencing interventions and COPD patient outcomes: A systematic review. Journal of Telemedicine and Telecare, 30(7), 1077–1096. https://doi.org/10.1177/1357633×231158140
Annotation:
This systematic review explores how videoconferencing supports COPD management, particularly in pulmonary rehabilitation and patient education. The findings demonstrate that remote communication reduces barriers such as travel and limited mobility. Additionally, patients reported increased confidence in managing their condition. The study emphasizes the importance of telehealth in fostering patient engagement and supporting collaborative care among healthcare professionals.
Çetin et al. (2023)
Reference:
Çetin, N., Bostan, P., & AltInisik, G. (2023). A perspective on the scope of videoconferencing-based telemedicine in respiratory diseases outpatient clinic. Tuberkuloz ve Toraks, 71(4), 335–346. https://doi.org/10.5578/tt.20239602
Annotation:
This research evaluates telemedicine use in outpatient respiratory care over an eight-month period. The findings indicate that a notable proportion of COPD and asthma patients were effectively managed remotely. Telehealth reduced exposure risks for vulnerable populations while maintaining continuity of care. The study provides practical insights for nurses implementing patient-centered telehealth services.
Jang et al. (2021)
Reference:
Jang, S., Kim, Y., & Cho, W.-K. (2021). A systematic review and meta-analysis of telemonitoring interventions on severe COPD exacerbations. International Journal of Environmental Research and Public Health, 18(13), 6757. https://doi.org/10.3390/ijerph18136757
Annotation:
This meta-analysis synthesizes data from 22 randomized controlled trials examining telemonitoring interventions. Technologies assessed included mobile applications and remote monitoring systems tracking physiological indicators. Results revealed a reduction in hospital admissions and emergency visits. The study highlights the value of early detection and timely clinical responses facilitated by telehealth systems.
NURS FPX 4045 Assessment 3 Technology in Nursing
Janjua et al. (2021)
Reference:
Janjua, S., Carter, D., Threapleton, C., Prigmore, S., & Disler, R. (2021). Telehealth interventions: Remote monitoring and consultations for people with Chronic Obstructive Pulmonary Disease (COPD). Cochrane Database of Systematic Reviews, 7(7). https://doi.org/10.1002/14651858.cd013196.pub2
Annotation:
This Cochrane review analyzes 29 randomized controlled trials focusing on remote monitoring and virtual consultations. The findings demonstrate improvements in symptom management, reduced hospital readmissions, and enhanced quality of life. Long-term benefits were observed in multi-component telehealth programs, supporting sustained disease management strategies.
Artificial Intelligence
Artificial Intelligence (AI) is increasingly integrated into telehealth platforms, enhancing the management of COPD through predictive analytics and real-time data interpretation.
How does AI contribute to COPD management?
AI systems analyze patient-generated health data, including oxygen saturation, respiratory patterns, and symptom reports, to identify early warning signs of deterioration. Technologies such as Machine Learning, Deep Learning, Convolutional Neural Networks, and Large Language Models process complex datasets to support clinical decision-making.
AI also facilitates automated reminders for medication adherence and lifestyle modifications, improving patient engagement and reducing hospitalization risks (Castro et al., 2024).
Castro et al. (2024)
Reference:
Castro, O., Izquierdo, E., Mesa, A., Menasalvas, E., & Pérez. (2024). Assessing the impact of new technologies on managing chronic respiratory diseases. Journal of Clinical Medicine, 13(22), 6913. https://doi.org/10.3390/jcm13226913
Annotation:
This review examines the role of AI in respiratory disease management. The findings indicate that AI enhances diagnostic accuracy and enables personalized treatment planning. For nursing practice, AI-supported telehealth systems allow continuous monitoring and rapid response to patient needs, thereby improving safety and care coordination.
Summary of Recommendations
The evidence consistently supports the use of telehealth and AI technologies in improving COPD management.
What are the key benefits identified across studies?
| Study | Key Findings | Clinical Implications |
|---|---|---|
| Bowman et al. (2023) | Videoconferencing improves rehabilitation and education | Enhances patient engagement and monitoring |
| Çetin et al. (2023) | Telemedicine enables remote disease management | Improves access and continuity of care |
| Jang et al. (2021) | Telemonitoring reduces hospital visits | Supports early detection of exacerbations |
| Janjua et al. (2021) | Remote care improves quality of life | Promotes long-term disease control |
| Castro et al. (2024) | AI enhances predictive analytics | Enables data-driven clinical decisions |
Successful implementation requires organizational commitment, including investment in training, infrastructure, and secure data systems. Additionally, fostering a culture of innovation and interdisciplinary collaboration is critical to integrating these technologies effectively. When implemented strategically, telehealth and AI can improve patient safety, expand access to care, and optimize clinical workflows.
References
Bowman, M., Jalink, M., Sharpe, I., Srivastava, S., & Don Thiwanka Wijeratne. (2023). Videoconferencing interventions and COPD patient outcomes: A systematic review. Journal of Telemedicine and Telecare, 30(7), 1077–1096. https://doi.org/10.1177/1357633×231158140
Castro, O., Izquierdo, E., Mesa, A., Menasalvas, E., & Pérez. (2024). Assessing the impact of new technologies on managing chronic respiratory diseases. Journal of Clinical Medicine, 13(22), 6913. https://doi.org/10.3390/jcm13226913
NURS FPX 4045 Assessment 3 Technology in Nursing
Çetin, N., Bostan, P., & AltInisik, G. (2023). A perspective on the scope of videoconferencing-based telemedicine in respiratory diseases outpatient clinic. Tuberkuloz ve Toraks, 71(4), 335–346. https://doi.org/10.5578/tt.20239602
Jang, S., Kim, Y., & Cho, W.-K. (2021). A systematic review and meta-analysis of telemonitoring interventions on severe COPD exacerbations. International Journal of Environmental Research and Public Health, 18(13), 6757. https://doi.org/10.3390/ijerph18136757
NURS FPX 4045 Assessment 3 Technology in Nursing
Janjua, S., Carter, D., Threapleton, C., Prigmore, S., & Disler, R. (2021). Telehealth interventions: Remote monitoring and consultations for people with Chronic Obstructive Pulmonary Disease (COPD). Cochrane Database of Systematic Reviews, 7(7). https://doi.org/10.1002/14651858.cd013196.pub2