AI in Healthcare Organizations Lab

The research project examines AI Governance frameworks and mechanisms in healthcare organizations, focusing on how different stakeholders navigate the implementation and management of AI systems within existing organizational structures. The regulatory aspect analyzes how healthcare organizations develop and implement internal policies and guidelines for AI deployment while adhering to external regulatory requirements and ethical standards.

As stroke care depends on the collaboration of neuro-interventionalists, neurologists, neuro-radiologists, and ER physicians, introducing agentic AI tools into the medical stroke team raises theoretical and practical questions regarding the re-delegation of formal and informal tasks and responsibilities among human team members and between physicians and the AI tool. In this study, we employ an interview-based approach to examine the impact of an AI tool and mobile app on stroke detection and management, focusing on three levels of teaming: inter-rank, inter-specialty and inter-organizational. While AI agentic tools have a great potential to revolutionize stroke care management, reduce treatment time and improve patient outcomes, these goals also depend on a carefully guided teaming process.

This project explores how the specific nature of regulations and guidelines for AI in healthcare as decision-support systems is generating an experimental space where middle managers and expert users (physicians, radiologists) must make sense of the AI’s biases, over-alerting, and lack of uniform standards for monitoring and evaluation. We explore in this context the emergence of bottom-up usage practices, highlighting the pivotal role of middle managers and radiologists in redefining boundaries during an innovative, early adoption process.