For the first time, I had the opportunity to attend the annual Medicaid Enterprise Systems Conference (MESC) in Chicago, and it was a great experience! Due to my technical background, I was very interested to see how the technical solutions for Medicaid-related problems are progressing.
I attended a few sessions that helped me better understand the technological progress being made. The first session I attended spoke on how Artificial Intelligence (AI) bots are helping to streamline one State’s intake processes. I was quite impressed as I watched a demonstration of the bot’s behavior and function play out on the big screen. As the bot went through the processes on the screen, the onstage presenter attempted to narrate and explain what was happening. The bot moved so quickly through these processes that the presenter was forced to repeatedly pause the video in order to detail the bot’s steps fully.
Essentially, the bot was performing the manual processes of an intake application, including opening and closing various windows, comparing text fields, copying data, and more. It was very impressive, and it drastically reduced the amount of time required to do the work. A process that would normally require multiple months to complete was cut down to a matter of weeks.
The presenter stressed the importance of the agile methodology for developing these bots. Being able to test, analyze, refine, and deploy in sprints made the development process much quicker and safer than one large deployment at the end of a waterfall-based development process.
It is incredible to see the way technology is evolving to help make processes in this area more efficient, more secure, and ultimately less time-intensive.
Many agencies are pushing for more advanced and efficient technology so that State agencies can use the data that they have in meaningful and impactful ways, which many agencies have difficulties doing. The amount of data in these systems is staggering, and at MESC, I was able to see just how many solutions are available.
Companies are now finding ways to use this data to help States gain more visibility into exactly what they have and how it can be analyzed, modeled, and tailored to fit their needs. Moving forward, as more requirements come out from Centers for Medicare and Medicaid Services with the need for more robust and data-driven solutions, this practice area will become increasingly vital to States and their partners.