I read a recent article in the Wall Street Journal about surviving the use of Artificial Intelligence, which highlighted William Stanley Jevons economic theory that became Jevons Paradox. The paradox occurs when technological progress increases the efficiency with which a resource is used, but the rate of consumption of that resource rises because of increased demand. Heady stuff I know, but when we apply the theory and AI to healthcare what’s really going to happen?
By applying AI to massive data sets that we collect daily from all the source systems we deal with in healthcare, we now can make meaningful predictions about how best to serve our healthcare customers. For most of my 37-year career in healthcare, our data has been retrospective. In moving to the brave new world of value based care, we are going to have to have real time data at our disposal to better utilize the resources necessary to produce the highest quality result for the lowest possible cost.
If used correctly, AI will help us reduce the uncertainty around the risks associated with allocating assets and resources to meet the needs of our healthcare customer. The hope is that AI will embolden Care Delivery to test more products/services, strategies, and hunches. The difference here is the real time nature of the data, and more importantly the base lines that are established as you move from “Fee for Service” to “Fee for Value”. Continual improvement can only be achieved if the base lines are established, confirmed, and constantly monitored
Healthcare/Care Delivery has never found itself where it is today. Besieged on all sides by not only the bureaucrats in State/Local/ Federal governments, but also by a consumer looking for transparency, and an experience that fits their need. This new reality calls for a technology that allows that Care Delivery organization to take those risks.
The Jellyfish Health Platform has two very important pieces of technology that really introduces Jevons Paradox into the hands of any Care Delivery organization driven to constantly improving. The first is a patented clinically driven workflow engine. In order to establish a base line you have to identify all the steps in your process, admitting area, the patient flow areas, recovery areas, etc, anything that impacts that patient’s movement. In the old days we used Ishikawa Fishbone Diagram (cause and effect). Think of our engine in the same manner.
Instead of the arduous tasks of actually watching and documenting, you now have the ability to use point and click to move the processes around to reflect your reality. The engine then modifies the Platform to function exactly how you work today. More importantly it allows you to identify KPI’s for each area to be measured in order to establish that important base line. Once done, we now have the chance to receive real-time accurate data that will help us to continually improve. When we notice bottlenecks to our KPI goals, we can then modify the flow by using the engine to help re-imagine a new flow that will fix the issue. Jevons Paradox in action.
The second piece of technology we use is called “Fathom”. Fathom is our deep dive analytics engine, and represents the future of both Care Delivery and Jellyfish Health. Getting the data is one thing. Having the ability to use AI to help organizations better utilize their resources both human, and machine is where the continual improvement gets to a higher level.
“Just in time” is where the industry is headed. We cannot afford the cost of staging our resources around the possibility of something happening. We have to use Fathom to help unlock our business models so that products, and services can be rendered in the most efficient/ highest quality manner possible. Care Delivery has never had these kind of products offered in one platform. Nor have they ever had a support organization built around how to successfully deploy, and utilize the technology every single day.
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