Category Archives: Analytics

Ready to Become a Population Health Analytics Competitor?

The healthcare industry generally recognizes the need for population health management. It has the potential to save lives, improve health and save money. A key component of population health management is analytics. But, as widely accepted as the need for population health management is the fact that most don’t know where to start. A survey of healthcare executives by Stoltenberg Consulting revealed that 41% of respondents identified data analytics and business intelligence as a priority for the year 2015. The problem is that 84% of them have questions about where to start their implementation efforts.

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The Foundational Approach to Population Health Analytics

The rate of change in the healthcare industry has been staggering. From Electronic Health Records to ICD-10 to Population Health, few industries have undergone such change in such a short amount of time. The silver lining in this change is the treasure trove of digital data, which will enable providers to analyze and compare information across thousands of patients instead of relying on the anecdotal evidence they previously used.

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Six Myths About Business Intelligence

An effective business intelligence (BI) strategy is one of the most powerful tools available to companies today. It enables companies to better monitor and track the state of the business by providing the user with actionable information which can lead to better decisions. BI provides for data consistency since it is accessed through a common platform versus the disparate applications (ERP, CRM, HR, etc.) the data is derived from. Thus the information is timelier as it is typically accessed in real-time or near real-time.

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Healthcare Predictive Analytics Will Be A Game Changer – Eventually

Category : Analytics Healthcare

Healthcare analytics has the potential to help identify potential health risks, promote better health and deliver more accurate diagnosis and treatment plans. There are several challenges that must be overcome before healthcare can deliver on that promise.

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Healthcare Big Data is Déjà vu All Over Again

My colleagues and I chuckle when we hear about all the ‘new benefits’ from Big Data. We chuckle because we have been using large datasets (what today is called Big Data) for years to help companies glean insights and intelligence from customer data. The goal has been to get the “right offer, to the right person, at the right time”. This means that we sought to understand the customer and their needs enough to be able to make the right product offer to them when they were most likely to accept or respond to the offer.  To accomplish this, behavior analysis and predictive modeling was used to create more effective acquisition and retention programs and to build actionable customer segmentations. The segmentation schemes enabled the company to manage similar customers as a group with emphasis on keeping the top customers in their segments and motivating the other customers to ‘move up’ the segmentation schema.

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