NRS 450 Topic 4 DQ 1 & 2 Discussion: Describe the impact of policies on population outcomes, including social justice and health equity. Select one policy that addresses the population outcomes, social justice, or health equity and suggest a communication platform for sharing the information with stakeholders

NRS 450 Topic 4 DQ 1 & 2 Discussion: Describe the impact of policies on population outcomes, including social justice and health equity. Select one policy that addresses the population outcomes, social justice, or health equity and suggest a communication platform for sharing the information with stakeholders

NRS 450 Topic 4 DQ 1 & 2 Discussion: Describe the impact of policies on population outcomes, including social justice and health equity. Select one policy that addresses the population outcomes, social justice, or health equity and suggest a communication platform for sharing the information with stakeholders

Topic 4 DQ 1

Assessment Description

Describe the impact of policies on population outcomes, including social justice and health equity. Select one policy that addresses the population outcomes, social justice, or health equity and suggest a communication platform for sharing the information with stakeholders.

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Initial discussion question posts should be a minimum of 200 words and include at least two references cited using APA format. Responses to peers or faculty should be 100-150 words and include one reference. Refer to “RN-BSN Discussion Question Rubric” and “RN-BSN Participation Rubric,” located in Class Resources, to understand the expectations for initial discussion question posts and participation posts, respectively.

American Association of Colleges of Nursing Core Competencies for Professional Nursing Education

This assignment aligns to AACN Core Competency 3.4

Topic 4 DQ 2

Assessment Description

Explain the role of communication technology in enhancing clinical information flows. Name three contemporary communication technologies used in acute care facilities. How is Artificial Intelligence (AI) and machine learning changing the functionality of these platforms?

Initial discussion question posts should be a minimum of 200 words and include at least two references cited using APA format. Responses to peers or faculty should be 100-150 words and include one reference. Refer to “RN-BSN Discussion Question Rubric” and “RN-BSN Participation Rubric,” located in Class Resources, to understand the expectations for initial discussion question posts and participation posts, respectively.

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NRS 450 Topic 4 DQ 1

Disparities in socioeconomic status lead to differential exposure to various risk factors, ultimately resulting in health disparities—individuals with more significant income, employment, and educational prospects experience reduced mortality and morbidity rates. Viewing health through an equity perspective within a comprehensive policy approach aims to create policies that enhance overall health and minimize disparities. Health equity impact assessment effectively integrates health equity into policy planning (Brownson et al., 2021). The plausibility of policies reducing disparities, whether in medical care or social determinants of health, such as living standards, education, working conditions, and social acceptance, must be considered.

Implementing policies to decrease health disparities is a crucial aspect of health initiatives sponsored and supported by the federal government. As a result of the adoption of the Affordable Care Act (ACA) in 2010, millions of Americans who had not previously had health insurance could get coverage for their medical expenses (Baumgartner et al., 2020). This opened the door for reducing health and healthcare inequalities. Furthermore, the significant legislation expanded access to care. It established Offices of Minority Health within agencies of the US Department of Health and Human Services (HHS) to address health disparities, enhance workforce diversity, and mandate community health needs assessments for nonprofit hospitals receiving tax exemptions.

I plan to use emails to disseminate information about health equity policies like the ACA to my stakeholders. Email has been a vital communication tool for more than two decades and is now just as prevalent in business interactions as the telephone. When it comes to communications, having the capability to send plain text or rich material straight to a contact’s inbox is a beneficial technology (Dawes, 2020). Communication via email is a more efficient and automated method compared to traditional telephone conversations.

References

Baumgartner, J., Collins, S. R., Radley, D., & Hayes, S. M. (2020). How the Affordable Care Act (ACA) Has Narrowed Racial and Ethnic Disparities in Insurance Coverage and Access to Health Care, 2013‐18. Health Services Research, 55(S1), 56–57. https://doi.org/10.1111/1475-6773.13406

Brownson, R. C., Kumanyika, S., Kreuter, M. W., & Haire‐Joshu, D. (2021). Implementation science should give higher priority to health equity. Implementation Science, 16(1). https://doi.org/10.1186/s13012-021-01097-0

Dawes, D. E. (2020). The political determinants of health. Johns Hopkins University Press.

NRS 450 Topic 4 DQ 2

Explain the role of communication technology in enhancing clinical information flows.

Health communication and information technologies use electronic devices, databases, and applications to prevent diseases, treat illnesses, manage chronic conditions, enhance healthcare for people and their communities, improve system efficiencies, and reduce medical errors. Health ICT provides novel and improved methods for obtaining, exchanging, managing, and saving data (Ahad et al., 2020). Information Communication Technologies provide remote care, multidisciplinary clinical assistance, and knowledge support to address the gap in the health sector in developing and newly industrialized nations. 

Name three contemporary communication technologies used in acute care facilities.

Remote patient monitoring is an emerging concept that extends beyond conventional healthcare and into popular culture. Fitness trackers and smartwatches are becoming common among individuals, tracking health metrics such as heart rate, oxygen levels in the blood, irregular heartbeat detection, and other parameters. In smart hospitals and healthcare digital transformation, the Internet of Things plays a significant role, according to Pradhan et al. (2021). Hospitals benefit from gaining real-time information about patient health by enabling communication between medical equipment and sensors. Mobile Health (MHealth) is essential to patient-centered treatment in intelligent hospitals. MHealth apps would allow patients to actively engage in their well-being due to the ubiquitous use of smartphones.

How is Artificial Intelligence (AI) and machine learning changing the functionality of these platforms?

In and of itself, the observability of a system is targeted at improving its operations to increase its efficacy, whether it be increasing its speed, efficiency, scalability, or security. It is possible for machine learning and artificial intelligence to automate the process of allocating and adjusting resources for the system, as well as to make modifications to the configuration or reorganize workloads, as well as to provide suggestions, and carry out actions (Rubinger et al., 2023). All of this is done to maximize the system’s effectiveness, adapt dynamically to the ever-shifting circumstances of the environment, and even save expenses.

References

Ahad, A., Tahir, M., Sheikh, M. A., Ahmed, K. I., Mughees, A., & Numani, A. (2020). Technologies Trend towards 5G Network for Smart Health-Care Using IoT: A Review. Sensors, 20(14), 4047. https://doi.org/10.3390/s20144047

Rubinger, L., Gazendam, A., Ekhtiari, S., & Bhandari, M. (2023). Machine learning and artificial intelligence in research and healthcare. Injury-International Journal of the Care of the Injured, 54, S69–S73. https://doi.org/10.1016/j.injury.2022.01.046

Pradhan, B. K., Bhattacharyya, S., & Pal, K. (2021). IoT-Based applications in healthcare devices. Journal of Healthcare Engineering, 2021, 1–18. https://doi.org/10.1155/2021/6632599