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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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