Journal of Progressive Medicine and Health Care

Abstract

With hybrid intelligence the increased use of artificial intelligence can put at risk clinical expertise in decision-making. Clinical expertise is developed through years of deliberate practice, and this process is altered when artificial intelligence support is applied in clinical decision-making as opportunities for learning particularly in complex decision-making situations are reduced. This paper discusses clinical decision-making in relation to hybrid intelligence and clinical expertise and identifies strategies to address acquisition of expertise to accommodate the transition to the use of artificial intelligence in the clinical context. In conclusion the use of hybrid intelligence affects clinical expertise as artificial intelligence has the capacity to fundamentally alter clinical learning and practice. Clinicians must be able to oversee artificial intelligence generated decisions. This requires consideration of educational strategies to ensure clinical expertise in artificial intelligence use is addressed proactively. Research is needed to identify effective strategies for interventions for development and retention of expertise suited to hybrid decision-making environments and to explore and describe the collaboration between the human and artificial intelligence as co-agents.