BACKGROUND
Health care can broadly be divided into two domains: clinical health services and complex health services, i.e., non-clinical health services such as health policy and health regulation. Artificial Intelligence (AI) is transforming both these areas. Currently, humans are leaders, managers, and decision makers in complex health services. However, with the rise of AI, the time has come to ask whether humans will continue to have meaningful decision-making roles in this domain.
OBJECTIVE
The objective is to establish a protocol of protocols to be used in the proposed research, which aims to explore whether humans will continue in meaningful decision-making roles in complex health services in an AI-driven future.
METHODS
The proposed research is designed as a four-step project, divided into two phases. In keeping with this design, the overarching protocol encompasses (i) the protocol for a scoping review that aims to identify and map human attributes that influence decision-making in complex health services; (ii) the protocol for a scoping review that aims to identify and map AI attributes that influence decision-making in this context; (iii) the protocol for a comparative analysis of human and AI attributes identified in the reviews; and (iv) the protocol for a simulation that tests the likelihood of humans competing, cooperating, or converging with AI in order to continue in meaningful decision-making roles in this context.
RESULTS
The results will be presented in tabular form, as well as visually intuitive formats.
CONCLUSIONS
This paper provides a roadmap for the proposed research. It also provides an example of a protocol of protocols for methods used in complex health research. While there are established guidelines for a priori protocols for scoping reviews, there is a paucity of guidance on establishing a protocol of protocols. This paper takes the first step towards building a scaffolding for future guidelines in this regard.
CLINICALTRIAL
This protocol of protocols has not been registered.