EXAMINING THE GRADUAL INTEGRATION OF ARTIFICIAL INTELLIGENCE IN HEALTHCARE: LIMITATIONS AND BARRIERS TO COMPLETE AUTOMATION
Keywords:
Artificial Intelligence (AI), Automation, Healthcare, Consumer Attitudes, Job DisplacementAbstract
The rapid advancement of artificial intelligence (AI) is transforming various industries, notably healthcare, where automation presents both opportunities and concerns. While AI has the potential to enhance efficiency and accuracy in medical practices, it also raises ethical issues like trust, data privacy, and the necessity of maintaining a human touch in caregiving. Addressing these concerns is vital for fostering informed discussions that shape policies and practices, ensuring that technological progress complements the human aspects of healthcare. This raises the question: How would the rapid advancement of AI lead to the partial or complete automation of specific medical tasks and roles, and what practical limitations and barriers might hinder the widespread adoption of AI-driven automation in the healthcare sector?
This paper introduces a sociological element to discuss the machines and the humans involved in healthcare's giving and receiving ends. The hypothesis suggests that AI's integration into healthcare will likely be gradual and partial due to factors like human behavior, technical errors, and consumer preferences. The structure includes a review of literature on AI applications and challenges, followed by a detailed methodology featuring structured interviews with healthcare professionals and observations from a summer volunteering experience in a hospital. These insights reveal attitudes and concerns surrounding AI's role in medical settings. Ultimately, while AI promises to enhance healthcare efficiency, successful implementation depends on navigating the complexities of human interaction and trust. As we move forward, fostering open dialogue and education will be essential for aligning technological advancements with the vital human elements of patient care.
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