Posted: September 4th, 2023

Ethical Dilemma in Healthcare: Addressing the Use of Artificial Intelligence in Patient Care

For this assignment, students will select an ethical dilemma in healthcare and propose evidence-based intervention(s) for the identified problem. The paper should be a minimum of four to five paragraphs, 500- 800 words in length, and no more than four pages, not including the title and reference pages.
Assignment Details:
Perform the following tasks:
Conduct a literature review to identify an ethical dilemma and explore opposing viewpoints.
Write an engaging and informative paper that would be helpful for someone in the discipline wanting to learn about ethical dilemmas in healthcare
Use the following as a checklist for the scholarly paper:
Include the following elements:
Title page (APA formatted title page).
Introduction
Background knowledge-brief summary of current knowledge of ethical dilemma being addressed
Discuss the opposing viewpoints
Challenges imposed in practice
Intext citation present and appropriate
Literature Review
Literature searches for the topic on the web and in databases are limited to peer-reviewed professional nursing and medical journals, texts, and writings (no older than 5 years).
Uses literature to support claims, facts, and statistics.
Intext Citation present and appropriate.
Proposed Intervention
Clearly state proposed intervention(s)
Define the ethical considerations or issues relevant to proposed intervention
State why the intervention(s) were chosen
Describe the implications of the proposed intervention to nursing education and practice.
Discussion/Implications/Conclusion
All work should have appropriate citations and reference lists.
Use Times New Roman, 12 pt. font; 1-inch margins; double-spaced.
Consists of 500 to 800 words in length (four to five paragraphs)
Citation and references are to follow the APA manual format
References should be no more than 5 years old
Sources:
Wikipedia (or similar sites) is not to be used as a reference
Taber’s and/or other medical dictionaries or encyclopedias are not to be used as references.
Proofread and edit the paper carefully, following the assignment rubric.
Use the plagiarism tool to check the summary against unintended plagiarism.
Spell check the paper and submit via Canvas.

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Ethical Dilemma in Healthcare: Addressing the Use of Artificial Intelligence in Patient Care

Introduction:
In recent years, the use of artificial intelligence (AI) in healthcare has become increasingly prevalent, leading to numerous ethical dilemmas. One significant ethical concern revolves around the balance between the benefits and risks associated with AI implementation in patient care. This paper aims to explore the opposing viewpoints regarding the use of AI in healthcare, identify the challenges imposed in practice, and propose evidence-based interventions to mitigate the ethical concerns associated with AI implementation.

Background Knowledge:
The use of AI in healthcare has the potential to improve patient outcomes, enhance diagnostic accuracy, and increase efficiency in healthcare delivery. AI algorithms can analyze vast amounts of patient data, identify patterns, and provide valuable insights to healthcare providers. However, concerns arise regarding issues such as privacy and data security, biased algorithms, and potential loss of the human touch in patient care.

Opposing Viewpoints:
Proponents argue that AI can reduce errors and variability in diagnosis and treatment decisions, leading to improved patient safety and outcomes. They contend that AI has the potential to bridge the gap between the growing demand for healthcare services and the limited healthcare workforce. On the other hand, skeptics raise concerns about the potential for biased algorithms, inadequate transparency, and the risk of technology-driven decision-making overriding human judgment. They emphasize the importance of maintaining human involvement and accountability in healthcare decisions.

Challenges Imposed in Practice:
Implementing AI in healthcare poses several challenges. First, ensuring the privacy and security of patient data is crucial. AI systems must comply with stringent regulations to safeguard patient confidentiality and prevent data breaches. Additionally, addressing algorithmic bias is essential to ensure fair and equitable treatment for all patients. Developing algorithms that are sensitive to diverse patient populations and regularly monitoring and auditing AI systems can help mitigate these concerns. Moreover, healthcare providers must receive adequate training and education to effectively use AI technologies and understand their limitations.

Proposed Intervention:
To address the ethical concerns associated with the use of AI in healthcare, a comprehensive intervention is proposed. This intervention includes the establishment of regulatory frameworks and guidelines specifically tailored to AI in healthcare. These regulations should address issues such as data privacy, algorithmic transparency, and accountability. Additionally, interdisciplinary collaborations between healthcare professionals, AI experts, and ethicists can help develop AI algorithms that are unbiased, transparent, and accountable.

The intervention also emphasizes the need for ongoing education and training programs for healthcare providers. These programs should focus on the ethical implications of AI, critical evaluation of AI-driven recommendations, and the importance of maintaining the human touch in patient care. By incorporating ethical considerations into nursing education and practice, healthcare professionals can navigate the challenges posed by AI implementation while upholding patient-centered care.

Discussion/Implications/Conclusion:
The proposed intervention holds significant implications for nursing education and practice. By addressing the ethical concerns associated with AI in healthcare, nurses can play a pivotal role in advocating for patient safety and privacy. Nursing curricula should incorporate AI ethics, ensuring that future nurses are well-prepared to navigate the complexities of AI-driven healthcare. Furthermore, implementing this intervention can foster a culture of trust and transparency, promoting interdisciplinary collaboration and responsible use of AI technologies.

In conclusion, the use of AI in healthcare presents both opportunities and ethical challenges. By acknowledging the opposing viewpoints, understanding the challenges imposed in practice, and proposing evidence-based interventions, healthcare professionals can navigate the ethical dilemmas associated with AI implementation. Through collaboration, education, and the development of robust regulatory frameworks, AI can be integrated into healthcare in a responsible and ethical manner, ultimately benefiting both patients and healthcare providers.

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