Enhancing Healthcare Efficiency with AI: Benefits, Challenges, and the Future of Clinical Practice

Abstract

This study explores the integration of Artificial Intelligence (AI) tools in healthcare, focusing on their impact on cognitive workload, decision-making, and professional development. The findings indicate that AI tools significantly reduce cognitive load, enabling healthcare professionals to focus on higher-order tasks such as critical thinking and complex problem-solving. A majority of participants reported that AI positively influences their professional development, enhancing cognitive functions and empowering them in clinical decision-making. However, concerns were raised about AI’s potential negative effects on hands-on clinical skills, particularly in areas like physical examinations and surgeries, which require manual expertise. These concerns align with the theory of "skill degradation," where over-reliance on AI may hinder the development of essential practical skills. Additionally, the study revealed that healthcare workers feared AI could reduce their autonomy in decision-making, emphasizing the need for maintaining human oversight in AI-driven processes. The findings suggest that a balanced approach to AI adoption is essential, where AI complements human expertise rather than replacing it. Training programs should be developed to ensure that healthcare professionals retain core competencies while utilizing AI effectively. Overall, while AI has the potential to improve healthcare delivery by enhancing efficiency and supporting decision-making, its integration must be managed carefully to preserve the essential role of healthcare professionals in providing high-quality care.