A societal concern related to managing a healthcare organization based on personal experience
Research Paper: Choose a societal concern related to managing a healthcare organization based on personal experience or subject material studied in this course. Submit the topic to the instructor before or during week 4 of the course. Research the responsibility of a critical thinker in a contemporary society. You may choose a topic that deals with a contemporary social concern related to healthcare. Examine the principles of critical thought in relation to the chosen societal concern, and consider the importance of ethics, moral reasoning, a research-based process to search for truth, and the need for information gathering in relationship to the societal concern.
Include a literature review of at least three scholarly sources based on the selected contemporary issue. Analyze the validity of the author’s arguments and/or biases.
Explain how academic knowledge impacts the social elements and institutions of both local and global communities.
Assess how the principles of active citizenship could impact the contemporary issue during the next five to ten years.
Include at least one reference to a multimedia component (i.e., podcast, interactive website, blog, or video) and evaluate the relevance of this piece in relationship to academic knowledge and the selected issue.
Sample Answer
Topic: The Ethical Implications of Artificial Intelligence in Healthcare
Introduction
Artificial intelligence (AI) has the potential to revolutionize healthcare by improving diagnosis, treatment, and patient outcomes. However, 1 the rapid advancement of AI also raises significant ethical concerns. This paper explores the ethical implications of AI in healthcare, examining issues such as bias, privacy, and autonomy.
Critical Thinking and AI in Healthcare
Critical thinking is essential in navigating the complex ethical landscape of AI in healthcare. By applying critical thinking skills, healthcare professionals can:
- Identify biases: Recognize potential biases in AI algorithms, such as racial or gender bias, and mitigate their impact.
- Assess the reliability of AI: Evaluate the accuracy and reliability of AI-powered tools and systems.