It is timely to discuss issues such as reliability and validity for the rapid deployment of AI technologies, given the explosion of data elements and the creation of huge health data hubs (e.g., EU Health Data Space) before speeding up tools and methods. This paper provides a brief history and main contributions with the European Society of Operational Research, useful for the decision tool called cost sensitivity simulators. This type of decision tool comes from experimental research on the interference of economics and health care choices, especially in the diagnostic and treatment space. The original contingent valuation methodology was a reversed conjoint algorithm, with economic cognitive cues and not only clinical cues (cues were selected with the Lens psychological model, not with traditional marketing methods used to identify attributes). Such valuation methods are now included in the category of Discrete Choice Experiments and are powerful methods in the Preference Research community. This paper is a selection of issues discussed at ORAHS and EWG-MCDA working groups. It compares consistency measures from psychologists and axiomatic systems from mathematical economists, and recent developments of axioms with a triad approach, for use in simulations and possible aggregation of choice models in meso or macro-economic models.