#  Network Analysis and Detection of Health Care Fraud 

 





January 17, 2006

 

 

**You, Jong-Sung**

In my earlier entries on [ “Statistics and Detection of Corruption��? ](http://www.iq.harvard.edu/blog/sss/archives/2006/01/statistics_and_1.shtml) and [ “Missing Women and Sex-Selective Abortion,��? ](http://www.iq.harvard.edu/blog/sss/archives/2005/11/missing_women_a_1.shtml) I demonstrated that examination of statistical anomaly can be a useful tool for detection of crime and corruption. In these cases, binomial probability distribution was a very useful tool.

[Professor Malcolm Sparrow ](/%20http://ksgfaculty.harvard.edu/Malcolm_Sparrow) at the Kennedy School of Government shows how network analysis can be used to detect health care fraud in his book, License to Steal: How Fraud Bleeds America's Health Care System (2000). He gives an example of network analysis performed within Blue Cross/Blue Shield of Florida in 1993.

An analyst explored the network of patient-provider relationships with twenty-one months of Medicare data, treating a patient as linked to a provider if the patient had received services during the twenty-one-month period. The resulting patient-provider network had 188,403 links within it. The analyst then looked for unnaturally dense cliques within that structure. He found a massive one. “At its densest core, the cluster consisted of a specific set of 122 providers, linked to a specific set of 181 beneficiaries. The (symmetric) density criteria between these sets were as follows:  
A. Any one of these 122 providers was linked with (i.e., had billed for services for) a minimum of 47 of these 181 patients.  
B. Any one of these 181 patients was linked with (i.e., had been “serviced��? by) a minimum of 47, and an average of about 80, of these providers.��?  
After the analyst found this unnaturally dense clique, field investigations confirmed a variety of illegal practices. “Some providers were indeed using the lists of patients for billing purposes without seeing the patients. Other patients were being paid cash to ride a bus from clinic to clinic and receive unnecessary tests, all of which were then billed to Medicare.��?

Professor Sparrow suggests that many ideas and concepts from network analysis can be useful in developing fraud-detection tools, in particular for monitoring organized and collusive multiparty frauds and conspiracies.

Posted by [Jong-sung You](http://www.iq.harvard.edu/blog/sss/archives/author/jong-sung-you/) at [ 2:36 AM](http://www.iq.harvard.edu/blog/sss/archives/2006/01/network_analysi.shtml)



 

 

 



 

 

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