The Importance of Simulation in Health Care

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The same simulation techniques get used at a much higher level, almost like a policy kind of level. Another good example is managing your aging population or managing people with long term conditions. They're fascinating to see how you make a change here and then it impacts 20 years down the line. There's also some capable policy kind of types and relationships as well. Last one that blows my mind is like the assumptions going in are like the unknown relationships that just are.

When it comes to simulation, we're all really asking the same question: are we living in one? Alas! We did not tackle that on this episode. Instead, with Julie Hoyer as a guest co-host while Moe is on leave, we were joined by Frances Sneddon, the CTO of Simul8, to dig into some of the nuts and bolts of simulation as a tool for improving processes. It turns out that effectively putting simulations to use means focusing on some of the same foundational aspects of effectively using analytics, data science, or experimentation: clearly defining the problem, tapping into the domain experts to actually understand the process or scenario of focus, and applying some level of "art" to complement the science of the work! For complete show notes, including links to items mentioned in this episode and a transcript of the show, visit the show page.