ENG 123 3-6 Assignment Project One Writing Plan

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Southern New Hampshire University *

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Apr 3, 2024

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Page 1 3-6 Project: Writing Plan Wanda Susie Sperry Southern New Hampshire University ENG-123-H7220 English Composition II 24EW3 Instructor: Bushra Munawar January 31, 2024

Page 2 The Ethical Implications of AI in Health Information Management Artificial intelligence (AI) and health information management (HIM) are two acronyms that have become increasingly important in the healthcare industry. AI refers to machines that can replicate human decision-making and problem-solving abilities. At the same time, HIM involves the collection, analysis, and protection of medical data - both traditional and digital - that are essential for providing top-notch patient care. Integrating AI and HIM can significantly improve various aspects of healthcare, including clinical decision support, revenue cycle management, and personalized care. However, adding these technologies also poses challenges, such as data quality and security issues, ethical and legal implications, and the need for proper human-machine collaboration. It is clear that AI and HIM have the power to transform healthcare for the better, but their safe and practical implementation requires careful consideration, regulation, and education. The audience that would benefit from a thorough discussion on the ethical implications of Artificial Intelligence (AI) in Health Information Management (HIM) would include professionals such as HIM practitioners, data analysts, healthcare providers, researchers, policymakers, and anyone interested in understanding how AI can impact the healthcare industry. The discussion would explore the ethical considerations around using AI in HIM, including privacy, security, bias, and transparency, and provide insights into how these challenges can be addressed. Additionally, it would cover the potential benefits of AI in HIM, such as improved accuracy of diagnoses, more effective treatment plans, and better patient outcomes. Overall, the discussion would help the audience develop a deeper understanding of the ethical implications of AI in HIM and equip them with the knowledge needed to navigate this complex landscape.

Page 3 In the Health Information Management (HIM) context, various stakeholders may encounter obstacles while addressing the ethical implications of Artificial Intelligence (AI). These challenges could arise from multiple factors, including needing more expertise, limited access to data, and uncertainty regarding regulatory frameworks. Therefore, assessing and understanding AI's ethical implications within HIM is crucial. Doing so will promote ethical decision-making and ensure that AI in HIM is implemented responsibly and sustainably. • AI in healthcare must be fair, transparent, and accountable. This requires diverse data, transparent decision-making, and ethical principles. Precise regulation and oversight are also essential. • How to safeguard health data privacy and confidentiality and prevent unauthorized or malicious use of AI systems. • How can we balance the benefits and risks of AI systems and ensure they align with the values, preferences, and rights of patients and healthcare providers? • How to foster trust, collaboration, and communication among human and AI agents and avoid potential conflicts or misunderstandings. • How can we ensure that AI systems are developed, deployed, and governed responsibly and ethically in compliance with relevant laws, regulations, and standards? Various stakeholders must carefully deliberate on the challenges and develop ethical frameworks, guidelines, and principles for AI in HIM. Additionally, integrating ethics education and training in health care curricula and practices is essential. One possible objective for this essay is to analyze the ethical challenges and opportunities that arise from utilizing AI within HIM. Furthermore, proposing recommendations or best practices to address these challenges constructively may be beneficial. To effectively accomplish

Page 4 this goal, the essay must adhere to the principles of clarity, concision, and accuracy. It is essential to avoid the use of contractions and to employ appropriate vocabulary and grammar. The final product should reflect the author's professionalism and expertise in the subject matter. • AI and HIM are essential for ethical inquiry. It is crucial to define and explain why they are relevant. • Explore the ethical implications of AI in HIM by reviewing existing literature and research, such as the articles found in my web search results. • AI in HIM raises ethical concerns about privacy, accountability, bias, transparency, and human dignity. AI systems should protect privacy, prevent bias, establish accountability and transparency, and promote ethical use while respecting rights and dignity. • Assess the strengths and weaknesses of utilitarianism, deontology, virtue ethics, and care ethics in addressing these issues. Use formal language and maintain a professional tone. • Provide practical recommendations for responsible, fair, and beneficial use of AI in HIM by all stakeholders, including patients, healthcare providers, researchers, and policymakers. • It is essential to provide a concise conclusion summarizing the principal arguments, findings, and recommendations. Additionally, suggesting future research or action directions can be beneficial. Here are the main points that I have included in my project draft: Main Point: The integration of AI technology in healthcare holds great promise in streamlining processes, elevating data accuracy, bolstering decision-making, and opening doors to innovative applications. Nonetheless, taking a measured approach to evaluating and regulating AI's role in

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