Diagnostic and Predictive Analytics and Their Possible Link to the Future of the LIS

I have posted a number of previous notes about analytics (see, for example:Lab Analytics Emerges as Hot Area for Software Development;Relevance of Lifestyle Analytics for Healthcare Organizations;Much of the Future for Pathology and Lab Medicine Rests with Analytics;Successfully Screening for Lung Cancer Based on Predictive Analytics). I believe that the future of clinical pathology, which is to say the mission of hospital-based clinical labs, will be significantly intertwined with analytics. I had begun to categorize the various types of analytics in previous posts. However,Gartner has come up with a very good schema for understanding medical analytics, which they refer to astheanalytics continuum (see:Attending to value and sophistication degree, Analytics is organized in 3 levels) and I show their analytics diagram below:The Gartner term ofdescriptive analytics in the diagram above corresponds to what I have referred to in past notes asorganizational analytics (see:Much of the Future for Pathology and Lab Medicine Rests with Analytics). By this I mean the collection of data concerning the daily operations of the labs with, for example, the goal of improving such processes as lab staffing or deciding which esoteric tests to send out to reference labs. The Gartner use of the term of descriptive analytics is broader than mine. Labs interested in taking advantage of this type of data can purchase a LIS module such asSunquest Analytics or a system from a specialized...
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