Simulation really then kind of comes into its own, is that you can really experiment with radical ideas. It doesn't just have to be right. Okay, well what if we sort of decrease the time they're spending in the cubicle by 10%, you know, what's the output of that? So an example of that was someone who wanted to change how emergency department patients are treated and get access to a senior doctor or consultant first. Now that's the type of thing that you can't just do by having mapped out a process and sort of saying okay, if there's a 10% gain here or 20% gain there,. You can radically test that idea, you can stress test
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.