Central Europe received a major increase in refugees fleeing Syria in 2015. With the region’s politicians initially overwhelmed and claiming the situation was unforeseeable, civil society had to step into the breach on humanitarian assistance. Eventually, politicians did propose a broad range of solutions to cope with the phenomenon, typically informed by their political persuasions. Naturally, these were widely debated, and none were able to be categorically proven as effective.
But what if there was a way to evaluate the proposed solutions? What if the means existed to analyze the challenges faced and provide support for decision-makers? Existing computer simulation models are, in fact, quite capable of doing just that in a range of fields. Though their capabilities are not taken full advantage of at present, the situation appears to be changing.
One field—and a big one at that—starting to adopt large-scale computer modeling is healthcare. With many national health insurance programs facing the challenges of demographic shifts (an aging population and fewer contributors to the pool of available funds), the quest for cost efficiency has opened the door to healthcare technology assessment (HTA).