Introduction
Healthcare issue, which is faced by our organization and extends widely across the country, at the core is chronic overcrowding of the emergency room (ER) and consequential long lines in receiving medical care. The rapid rise in the number of patents puts a hefty load on our resources, which may considerably stop effective care delivery and reduce the welfare of healthcare professionals. A detailed literature review, which entails strategies for stress management around high volumes of patients and new health monitoring technologies, would enable us to provide the organizational leadership with a thorough understanding of the issue and achievable strategies.
National Healthcare Issue/Stressor
The selected health problem is Emergency Room (ER) overcrowding and patient care delays. Hence, this problem is our organization’s concern because its solution determines the quality of healthcare and patient outcomes (Sartini et al., 2022). The quantification of the effect by organizational data highlights the exponential growth of patients’ admission, that is, the biggest causes of poor patient satisfaction, induced delays, and unwanted events.
Summary of Scholarly Articles
Alberti et al. (2019) emphasize the growing complexities brought about by new forms of patient care. The article, in particular, accentuates safety and quality in healthcare delivery systems. The study of Bangani et al. (2021) involves a personalized stress monitoring AI machine for healthcare workers, with the staff’s well-being seen as a crucial link in addressing health challenges. While both pieces highlight the importance of developing a progressive strategy to address the growing healthcare environment, they stress it differently.
Addressing the Healthcare Issue in Other Organizations
Among various healthcare facilities, the strategies for addressing the overcrowding problem and the delay in providing patient care are improving processes, enhanced communication, and integrating technology. Some institutions have introduced telemedicine to triage patients before arrival so they can expedite their admission process (Sun et al., 2020). However, others believe in interdisciplinary collaboration and task delegation to properly use the staff members. By adopting these principles, our organization can develop specific interventions to reduce the load of ERs and, hence, enhance patient care.
Strategies from Scholarly Resources
Amalberti et al. (2019) suggest a systemic way to counteract volume increment’s negatives. The best ways to achieve safety goals include an influential safety culture, proper communication channels, and excellent patient care processes. The AI system in the research by Bangani et al. (2021) is a tool that can be used to track the stress level of health workers, trying to mitigate stress among health workers who can work more efficiently and effectively. Moreover, this technology should be integrated prudently to prevent harmful effects like pressure or invasion of privacy.
Positive and Negative Impacts on Our Organization
Using evidenced-based strategies will catalyze positivism in our organization and ensure that patients are safe and our staff’s well-being is cared for. Safety culture, for instance, makes it proactive that regards identification and risk reduction as a priority. On the other hand, making AI part of the workforce involves a significant amount of intention and consideration since there is a possibility that the staff will show reluctance or privacy concerns among the stakeholders.
Conclusion
We need to solve the national problem of congested ER rooms and long wait times for patients as the primary issue. To use the gathered knowledge in the academic papers, we might produce a strategy that meets our uniquely specified university conditions. The related environmental impact can be reduced by applying a system-wide approach, building a favorable safety culture, and engaging in relevant technological advancements. Our plans to do so will help significantly to make the organization more effective, the services better, and to provide quality care even in situations of increased patient load.
References
Amalberti, R., Vincent, C., Nicklin, W., & Braithwaite, J. (2019). Coping with more people with more illness. Part 1: The nature of the challenge and the implications for safety and quality. International Journal for Quality in Health Care, 31(2), 154–158. https://academic.oup.com/intqhc/article-abstract/31/2/154/5196520
Sartini, M., Carbone, A., Demartini, A., Giribone, L., Oliva, M., Spagnolo, A. M., … & Cristina, M. L. (2022, August). Overcrowding in the emergency department: causes, consequences, and solutions—a narrative review. In Healthcare (Vol. 10, No. 9, p. 1625). MDPI. https://www.mdpi.com/2227-9032/10/9/1625
Sun, S., Lu, S. F., & Rui, H. (2020). Does telemedicine reduce emergency room congestion? Evidence from New York state. Information Systems Research, 31(3), 972-986. https://pubsonline.informs.org/doi/abs/10.1287/isre.2020.0926
Bangani, R. G., Menon, V., & Jovanov, E. (2021, December). Personalized Stress Monitoring AI System For Healthcare Workers. In 2021 IEEE International Conference on Bioinformatics and Biomedicine (BIBM) (pp. 2992–2997). IEEE. https://doi.org/10.1109/BIBM52615.2021.9669321
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