The Use of Clinical Systems to Improve Outcomes and Efficiencies

• Conduct a search for recent (within the last 5 years) research focused on the application of clinical systems. The research should provide evidence to support the use of one type of clinical system to improve outcomes and/or efficiencies, such as “the use of personal health records or portals to support patients newly diagnosed with diabetes.”
• Identify and select 4 peer-reviewed research articles from your research.
• For information about annotated bibliographies, visit https://academicguides.waldenu.edu/writingcenter/assignments/annotatedbibliographies
• Links to an external site.

• In a 5-page paper, synthesize evidence on personal health records improving diabetes outcomes and efficiencies.

• Research the effectiveness of personal health records in improving glycemic control and care coordination

The Assignment: (4-5 pages not including the title and reference page)

In a 4- to 5-page paper, synthesize the peer-reviewed research you reviewed. Format your Assignment as an Annotated Bibliography. Be sure to address the following:

• Identify the 4 peer-reviewed research articles you reviewed, citing each in APA format.
• Include an introduction explaining the purpose of the paper.
• Summarize each study, explaining the improvement to outcomes, efficiencies, and lessons learned from the application of the clinical system each peer-reviewed article described. Be specific and provide examples.
• In your conclusion, synthesize the findings from the 4 peer-reviewed research articles.
• Use APA format and include a title page.
• Use the Turnitin Drafts to check your match percentage before submitting your paper
• Nurs 6051 Assignment: Literature Review: The Use of Clinical Systems to Improve Outcomes and Efficiencies

• Create an annotated bibliography exploring patient health records for COPD management.

• Develop a literature review on digital health innovations in COPD care.

• Synthesize recent studies on electronic health tools for chronic respiratory diseases.

Annotated Bibliography Written Paper Example:

Personalizing COPD Self-Management with Digital Health Tools

Personal health records serve as a vital healthcare technology that facilitates the coordination and access of patient data within hospital or clinical settings. Healthcare providers rely on these records to make informed decisions quickly and effectively. This technology improves the cooperation between the patient and physician or nurse, strengthens the self-management efforts by the patient, and promotes positive health outcomes (Paydar et al., 2021). The following literature review analyzes the use of patient health records and other related digital technologies in enhancing the treatment and care for patients with Chronic obstructive pulmonary disease (COPD), which is one of the non-communicable respiratory diseases that can turn fatal if not well cared for and diagnosed early. Researchers continue to explore how these tools can adapt to individual patient needs for better long-term results.

Literature Analysis

Emami, H., Hosseini, A., & Paydar, S. (2022). Minimum data set of personal health record (PHR) for patients with chronic respiratory diseases. Frontiers in Health Informatics, 11(1), 111. https://doi.org/10.30699/fhi.v11i1.369

The purpose of this paper was to determine the minimum data set when it comes to management of personal health records for patients diagnosed with Chronic Obstructive Pulmonary Disease (COPD). Experts in the field emphasize the importance of standardized data to ensure consistency across different healthcare systems. According to the author, COPD falls in one of the four main groups of non-communicable disease, and thus, they need to have access to data that can help them manage the condition and care plan. Personal health records are a very important health information technology tool that COPD patients use to manage their health status. The technology also assists them in becoming active members of the healthcare teams. Patients often find empowerment through these tools, leading to more proactive involvement in their treatment. To determine the minimum data set, the researcher conducted descriptive research using the Delphi method. Using a literature review, data sets of COPD disease were extracted. 5 pulmonologists were also evaluated using a questionnaire based on the Delphi technique in two phases. From the study, the researcher was able to identify 33 elements as the main data elements, which translated to 80% in the first phase of the Delphi technique. In the second phase, there were four elements proposed, meaning that the first datasets were agreed upon since they were more than 80%. Such iterative processes help refine essential information for practical use in daily care. In regard to the lessons learned, determining the minimum dataset is a very important step when it comes to the integration and improvement of patient health information for COPD patients. The study thus acknowledges the role of patient health records in tracking patient diseases, treatment, and teamwork.

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

The purpose of this study was to review the field of digital health regarding the treatment and care for patients with COPD. Ongoing advancements in this area promise to address gaps in traditional healthcare delivery. According to the study, COPD prevention and treatment are possible through reducing exacerbations, effective care, and hospitalization. However, having a system for early identification of high-risk individuals with COPD exacerbation can provide healthcare providers and the patient begin preventive measures. This study is important as it shows how many patients struggle to follow treatment plans due to lack of lack of awareness regarding COPD. Innovations like real-time alerts can significantly mitigate these challenges. Patients also have limited access to resources and poor or a lack of clinical support. Digital health thus becomes very useful as it covers the advancements in regard to health information technologies, telehealth, artificial intelligence, mobile health, Internet of Things, digital therapeutics, and wearables. The researchers approached this study by reviewing the field of digital health when it comes to COPD. From the results of this study, it was evident that despite the significant digital health advances, there are still several obstacles in regard to its effectiveness. The study also found some major challenges and possibilities to ensure proper integration of digital health in the management of COPD. Collaborative efforts among stakeholders are essential to overcome these barriers. The lessons learnt from this study are that integration of digital health to COPD management can provide a potential scenario as technology advances, resulting in the development of new clinical models. Another lesson is that there is still a lack of best practices in the use of digital technologies for the management of COPD in hospitals, as the initiative still does not have a comprehensive framework due to limited funding. Successful implementation will thus call for strategies that promote the integration of digital technologies, which should be done concurrently.

Navarro Ros, F. M., & Maya Viejo, J. D. (2024). Preclinical evaluation of electronic health records (EHR) to predict poor control of chronic respiratory diseases in primary care: A novel approach to focus our efforts. https://doi.org/10.20944/preprints202409.1430.v1the

The purpose of this study was to come up with a unique predictive model using electronic health records (EHRs) as a tool for estimating the possibility of poor COPD management in patients, thus coming up with a solution for more efficient management within primary care settings. Primary care teams can leverage these models to intervene earlier and more effectively. According to the researchers, the management of COPD and chronic respiratory diseases such as asthma faces significant challenges. The study was done in the Spanish Sistema Nacional de Salud (SNS) due to the area’s high prevalence and lack of better disease control rates. There reports a prevalence of 45.1% of patients with asthma, while 63.2% have COPD. Regional variations highlight the need for localized strategies in addressing these issues. A bioinformatics approach was used in this study to identify the various clinical variables from EHR data within the primary care centers of Valencia and Seville. The development model provides high sensitivity, accuracy, and specificity to predict poorly monitored disease in both COPD and asthma patients. The findings from this study are very important and will serve as a very important tool, ensuring the early use of electronic health records for the early intervention of at-risk patients. This will also provide healthcare providers with the knowledge on where to prioritize and provide more allocation of resources within the primary care setting. Predictive analytics like this can transform how resources are distributed in overburdened systems. The lessons learnt from this study are that electronic health records can be used for predicting a care model for patients with COPD. By doing so, this can enhance the early management of COPD and asthma, in the end improving patient outcomes and reducing the burden on the healthcare systems.

Paydar, S., Emami, H., Asadi, F., & Moghaddassi, H. (2021). Functions and Outcomes of Personal Health Records for Patients with Chronic Diseases: A Systematic Review. Perspectives in health information management / AHIMA, American Health Information Management Association, 18(1). https://www.researchgate.net/publication/353716433

The purpose of this study was to identify the functions and outcomes of patient health records for patients diagnosed and living with cancers, diabetes, cardiovascular disease, and COPD. Comprehensive reviews like this help bridge knowledge gaps across multiple chronic conditions. This study indicates that personal health records have enabled patients to access, track, manage, and share their health information. This technology engages patients in COPD care, which enables them to become active members in regard to decision-making and management of their health. The study employed a systematic review of various studies, where searching and screening of relevant studies were performed. Engagement through these records often leads to better adherence to prescribed regimens. Only studies suitable for the area of COPD were selected, especially those that discussed the use of medical records and personal health information. According to the findings of the study, the use of patient health records can ensure proper management and control of COPD as a chronic condition. The lessons learnt from this study are that there is a lot of importance for hospitals to integrate patient health records with other comprehensive features or functions that can be used by patients and empower them in self-management. The study shows that integration of patient health records into the continuum of care is also likely to reduce the number of referrals made to health centers while also reducing the cost imposed on the patient families. Cost savings extend to broader healthcare economies when adoption is widespread.

Building on the insights from Paydar et al. (2021) and Long et al. (2023), the integration of digital health tools with personal health records offers promising avenues for personalized COPD care. These approaches not only facilitate real-time data sharing but also incorporate elements like wearables and AI to monitor symptoms proactively. Evidence suggests that such combined systems can reduce exacerbation rates by enabling timely interventions, ultimately supporting patient autonomy and reducing hospital readmissions.

Conclusion

In summary, the above literature calls for the need for hospitals to integrate the use of patient health records and other digital technologies in enhancing care, self-care, treatment, and management of patients with COPD. Hospitals can start by piloting these integrations in specific departments to measure impact. Patient health records technology should cover all functions of care to improve outcomes for patients with COPD and other forms of chronic disease. Patient healthcare knowledge will also improve through access to education materials from the patient health record portal, as within this portal, there is easier access to health information. There is also the need to use these recording stratifying patients in terms of need and urgency as this will ensure hospitals work efficiently and reduces adverse events from the urgent need patients. Prioritization tools embedded in these records can streamline workflows for medical staff. The future of patient health record thus is to ensure that it is integrated all the functions and features that makes it easy for patient to navigate for self-management while it also helps with patient monitoring, care and treatment.

References

Emami, H., Hosseini, A., & Paydar, S. (2022). Minimum data set of personal health record (PHR) for patients with chronic respiratory diseases. Frontiers in Health Informatics, 11(1), 111. https://doi.org/10.30699/fhi.v11i1.369

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

Navarro Ros, F. M., & Maya Viejo, J. D. (2024). Preclinical evaluation of electronic health records (EHR) to predict poor control of chronic respiratory diseases in primary care: A novel approach to focus our efforts. https://doi.org/10.20944/preprints202409.1430.v1

Paydar, S., Emami, H., Asadi, F., & Moghaddassi, H. (2021). Functions and Outcomes of Personal Health Records for Patients with Chronic Diseases: A Systematic Review. Perspectives in health information management / AHIMA, American Health Information Management Association, 18(1). https://www.researchgate.net/publication/353716433

Lenferink, A., Brusse-Keizer, M. G. J., van der Palen, J., & Effing, T. W. (2025). Personalizing Self-Management Interventions in COPD – Looking Beyond One-Size-Fits-All. International Journal of Chronic Obstructive Pulmonary Disease, 20, 65–68. doi: 10.2147/COPD.S511278

O’Connor, L., Behar, S., Tarrant, S., Stamegna, P., Pretz, C., Wang, B., et al. (2025). Healthy at home for COPD: an integrated digital monitoring, treatment, and pulmonary rehabilitation intervention. BMC Digital Health, 3, 1. https://doi.org/10.1186/s44247-024-00142-4

Chien, S.-Y., Hu, H.-C., & Cho, H.-Y. (2025). Long-Term Monitoring of Individuals With Chronic Obstructive Pulmonary Disease Using Digital Health Technology: Qualitative Study. Journal of Medical Internet Research, 27, e63660. doi:10.2196/63660