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Exploratory data analysis for ORs is the first step – or the ‘scrubbing in’ – towards perioperative analytics for the supply chain.

The vast swathes of data being collected in modern health systems suggest that perioperative analytics (or OR analytics) are at the ready. The truth is that extracting meaningful information from all those data points takes some coordination and a little exploration. Let’s take a look at the exploratory data analysis that underscores analytics, and the different ‘flavors’ of perioperative analytics, from descriptive and diagnostic to predictive and prescriptive.

Imagine yourself in a situation where you are faced with the distress of having to undergo surgery to address an ailment. As a patient, what would be your top-of-mind concerns? You would think about how risky the operation is. How long the recovery will take. Which physician is going to perform the procedure. What the physician’s reputation is. And ultimately, what are your chances of healing from the underlying medical issue you’re getting the surgery for in the first place. That all makes sense. You are one patient facing one concern: your health and wellbeing.


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A dozen gold thumb tacks pointed upwardsA lot of focus has been placed on advanced and predictive analytics, and rightfully so. I have written many posts and have spoken publically on the merits of advanced analytics for several years now.

 

What I find disorienting and misleading are marketers harping on how important it is to adopt advanced analytics right now. The thing that they just don’t get (or maybe they don’t want to get?) is that an organization will need to transcend a series of analytical maturity levels before they can truly capitalize on the benefits of advanced and predictive analytics.


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Big data is all around us.  As we have seen, big data is characterized by its volume, velocity, and variety (the infamous three ‘V’s).  Great, you have a lot of data…now what?  Well, these untapped ‘dark data assets’ give rise to vast opportunities for those organizations that seek new ways to compete.  Studies have shown that organizations that compete on analytics by focusing on their core competencies fare much better than those who do not.  Some have gone so far as to call big data the ‘new oil’.  In part two of this four part series, we will take a closer look at big data analytics.

 
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