Implementation of artificial intelligence in healthcare, its opportunities and ethical challenges

Abstract

Ethical challenges and opportunities: implementing artificial intelligence in healthcare. Technological advances in artificial intelligence (AI) offer new opportunities for improving healthcare, particularly in the areas of patient safety and clinical risk management. This article explores the ethical and safety aspects of implementing AI in healthcare. AI can significantly improve the accuracy of diagnostic processes, reduce healthcare costs, and facilitate access to information. However, its implementation poses challenges such as the need for human control over AI outputs, the risk of deskilling by clinicians, and the need for continuous monitoring and evaluation of the effectiveness of AI systems. Ensuring transparency, independence from bias, and maintaining the human connection in healthcare is key. Recommendations include collaboration between health systems, development of strong rules and regulation, and active engagement of clinicians and patients in evaluating and improving AI technologies. Future research and practice should aim to maximize the benefits of AI and minimize potential risks, which includes technical improvements to AI algorithms and the development of new methods of evaluation and regulation

Keywords

• artificial intelligence
• patient safety
• clinical risk
• healthcare ethics
• ai regulation