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The scenario I am considering involves a patient with congestive heart failure (CHF). CHF is a chronic and debilitating condition that can be difficult to manage effectively due to the complex nature of the disease (Rochester, 2019). In order to ensure the best possible outcomes for patients with CHF, it is essential to have access to data that can inform treatment and management decisions. Recent studies revealed that patient-generated health data (PGHD) could be used to monitor, assess, and manage CHF more effectively. PGHD is data collected from patients directly, such as through physical activity trackers, diet and nutrition journals, or patient-reported symptoms. Information collected could include the patient’s medical history, current medications, and other medical conditions that might influence the patient’s care. Data on current best practices for managing CHF and data on the effectiveness of different medications and therapies would be beneficial (Koshy et al., 2020). Access to this data would allow healthcare providers to make more informed decisions about the patient’s care, such as when to adjust medications or refer the patient to a specialist. It also allows for the comparison of different treatment strategies and the assessment of their effectiveness. It provides valuable insights into the efficacy of different treatment approaches, which could be used to inform practice guidelines and help to ensure that the patient receives the best possible care.
The data that could inform decisions about the patient’s care includes information on the patient’s medical history, current medications, and other medical conditions that influence the patient’s care. Additionally, data on current best practices for managing CHF and data on the effectiveness of different medications and therapies would be beneficial. Studies have shown that, depending on the severity of the CHF, lifestyle interventions may also improve patient outcomes and quality of life; therefore, data on the patient’s lifestyle and activities, such as physical activity and diet, could also be used (Kyriakou et al., 2020). This data could be collected from various sources, including the patient’s electronic health record (EHR), lab results, and other clinical data. The relevant information should be obtained from research studies and guidelines (Nagle et al., 2017). The data mentioned are accessible through electronic health records (EHRs), research databases, and other online sources that the Nurse leader was maybe aware of. To ensure that the data is accurate and up-to-date, it is essential to regularly update the sources of information, keep the data current, and be organized in a way that is easily accessible so that it can be quickly accessed and used when needed.
The data collected could be used to learn how to manage CHF. This knowledge could inform practice guidelines, provide evidence-based care, and help ensure that the patient receives the best possible care. A nurse leader could use clinical reasoning and judgment to form knowledge from the data by analyzing the information and determining which strategies are most effective in managing the patient’s condition (McGonigle & Mastrian., 2022). For example, the nurse leader could analyze the patient’s medical history, current medications, and other medical conditions that might influence the care plan and use this information to develop an evidence-based treatment plan. Moreover, the nurse leader could compare treatment strategies and assess their effectiveness. By using clinical reasoning and judgment to form knowledge from the data, the nurse leader could identify the best course of action for the patient and ensure that the patient receives the highest quality of care.
Koshy, A. O., Gallivan, E. R., McGinlay, M., Straw, S., Drozd, M., Toms, A. G., Gierula, J., Cubbon, R. M., Kearney, M. T., & Witte, K. K. (2020). Prioritizing symptom management in the treatment of chronic heart failure. ESC Heart Failure, 7(5), 2193–2207. https://doi.org/10.1002/ehf2.12875Links to an external site.
Kyriakou, M., Middleton, N., Ktisti, S., Philippou, K., & Lambrinou, E. (2020). Supportive care interventions to promote health-related quality of life in patients living with heart failure: A systematic review and meta-analysis.&nb
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