AI Managing Agent-Based Healthcare Processes

Abstract

This paper describes a methodology for Evolving Systems Supporting Governance, Regulation, Control, Safety, and Security in personalised healthcare. To embrace AI in any critical system, any stochastic advantage of time or resource saving needs to be trusted, and this in turn needs deterministic consolidation – i.e. verification processes which both secure the foundation of any novel system through offering reassurances of the reliance upon models and also validation of those models in practice, since they may “drift“ over time. Deviating from this original foundation can lead to errors, which need to be addressed for such a system to remain useful, indeed credible. This review of how such governance can become integral to developing new principles for responsible AI inspired by personalised healthcare's 5Ps which can be adopted for the managing of a common yet critical care path. This leads to many questions around the strategic, operational and tactical approaches, which are answered through providing a use case of dealing with Emergency to exemplify future approaches to agent based healthcare management.