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Worried over increasing nurse retention rate? Think Analytics!

We all know that Big Data and Analytics help businesses a lot. Now let's take a shift. Big Data and Analytics also help in retaining nurses. Sounds interesting, right?

 Based in Dallas, Texas, Tenet Healthcare used Predictive Analytics to increase nurse retention rate. You know very well how much it costs to recruit new employees. Few years ago, American Organization of Nurse Executives estimated that in conservative approach, direct recruitment fees cost $10,000 to replace a nurse; and if you take indirect costs into account, the actual cost will mount to $42,000. This cost escalates to $64,000 for hiring specialty nurse. Now, just imagine, if your organization wrongly recruits a person, or if your employees leave your organization too early, how much more will it cost you, given that you give expensive training to them. In fact, Tenet observed that many high quality nurses were leaving them due to which they incurred considerable cost and also it caused inconvenience to patients and other staff members.

To mitigate this problem, they used Predictive Talent Analytics and Big Data. Tenet took an assessment test for their nurses creating behavioral DNA or a thumbprint which the software then matched with individuals’ performance data. From this, Tenet got an insight of a list of characters which are common to best performing nurses within each specialized category. So, you may be thinking what are the benefits they reaped from it? Read them at  to know.

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