How AI re-structure actors and relationship of the new Healthcare Ecosystem

Artificial intelligence raises serious questions in all areas as it can help to address the major challenges facing contemporary society. Among the most critical sectors on which the great challenges will impact is the healthcare sector. Climate change, social change and demographic trends threaten its sustainability. Artificial intelligence can compensate and support the entire ecosystem, but to understand and build optimal solutions, it is good to understand how the current healthcare ecosystem is changing under the influence of artificial intelligence. This paper through a co-occurrence analysis mapped current trends and actors in the current healthcare ecosystem and then mapped current trends and actors in the healthcare ecosystem but transformed by AI. Once the main actors on which the research is focusing were identified, we proceeded in accordance with the Actor Network Theory to map how the relationships between the nodes change under the influence of the different types and tools of AI support. The paper offers numerous theoretical and managerial perspectives by offering a first mapping of the healthcare ecosystem marked by AI which can be of assistance in the implementation of social policies, construction of AI architectures and for a rethinking of the capabilities and roles of the different actors of the AI’s healthcare ecosystem. It is confirmed how AI can risk making the human element disappear in most of activities, but it could help us become not only Human Plus but most of all help us not to lose our Human Factor.