We work in the paradigm of adaptive healthcare workflow in order to support clinical processes across performers, enterprises, and through time. In this view, decision support and workflow are intimately integrated within definitions of process aimed at generating outcomes for patients. A process engine is thus a navigation copilot.
We see information in healthcare in terms of a shared EHR, shared process definitions, and implemented in terms of transactional interfaces. This requires various layers of formalisms and models, including APIs, all of which are openly published and shared across the industry. HIS products need to integrate with such platforms, rather than creating monolithic data siloes.
The starting point for making computers understand health, and indeed any complex domain properly, is to build models at all cognitive levels, based on epistemological (knowledge-gathering) and ontological (descriptions of reality) precepts.