ChatGPT in complex adaptive healthcare systems: embrace with caution

The integration of artificial intelligence (AI) into healthcare, particularly through generative AI models like ChatGPT, presents both transformative opportunities and significant challenges. This discussion article explores the systemic impacts of generative AI, highlighting the ethical concerns, particularly around biases, and the shifts in patient-provider dynamics that could disrupt traditional healthcare. Democratising medical knowledge through ChatGPT tools offers new avenues for patient engagement, yet it may affect existing health disparities and erode trust if not responsibly implemented. As generative AI increasingly influences healthcare, it is critical to recognise the intricate feedback loops and dependencies within these complex adaptive systems so that innovations augment rather than destabilise the overall structure. This article advocates an 'embrace with caution' stance, calling for reflexive governance, heightened ethical oversight, and a nuanced appreciation of systemic complexity to harness generative AI's benefits while preserving the integrity of healthcare delivery.