The most significant insights aren’t discovered in a vacuum. Predixion Insight provides the tools and methodologies allowing you to share predictive results with your colleagues from various aspects of your business in order to extract the most value from your data. This article will describe the variety of ways that you can share using Predixion Insight for collaboration and productionalization.

One of the most frustrating things for me about starting a new clinical process improvement (PI) project is just how flipping long it takes to get actionable results. Most of us use the tried and true PDCA (Plan, Do, Check, Act) method of W. Edward Deming fame. Predictive analytics short-circuits this PDCA process by looking at huge chunks of data…

Using predictive analytics and modeling tools is becoming a common and often daily occurrence in the work of caring for patients and populations in the healthcare industry.  But for someone who may be new to the field or has had limited exposure and/or experience with predictive analytics, the concept of mining data to predict the future may seem not only foreign, but a bit intimidating.

Predictive Analytics  are a powerful tool; of that there can be no doubt. However, like any tool, it only serves a purpose if it fulfills a useful function and almost as importantly is easy–to-use in fulfilling that purpose. For example, I can use a rock to drive a nail into a board, but the rock is hard to hold, difficult to use gently, easily breakable, etc. Ease of use for any tool means being able to complete a  task as easily as possible, with minimum frustration, every single time.  The same concept applies to the user interface (UI) of a seriously powerful tool like predictive analytics. The UI has to be effortless and intuitive, particularly if the end user is not a “super-user” and instead is a mere mortal who has  many other things to do in their busy life (like most of us!).

All Things Predictive

Recently, I was talking with a colleague about a particularly difficult problem she was having in trying to ferret out why their in-hospital sepsis patients did not do as well as the patients that presented to the hospital in septic shock. Despite trying several tried and true performance improvement (PI) methods, the answers simply were not coming…