The IntegrityM Blog


Comparative Billing Reports: A Valuable Tool for Outreach and Education

In 2016, there were more than 63,600 drug overdose deaths in the United States — this is more than three times the rate in 1999 according to a report from the National Center for Health Statistics (NCHS), part of the US Center for Disease Control and Prevention (CDC).i In a July 2017 report, The U.S. […]

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Four Traits of Every Successful Medical Billing and Coding Specialist

Medical coders often serve as the gatekeepers of compliance and quality for healthcare organizations. Errors and mistakes can result in denials, delayed payments, or even put an organization at risk for receiving improper payments. Coding can often involve a complex process and finding a coder with the right combination of skills can be difficult, especially […]

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  • Author: IntegrityM
  • Date: February 21, 2018
  • Category:

So You’ve Detected an Outlier… Now What?

Fighting fraud, waste, and abuse in health care programs is labor intensive often requiring multiple experts including but not limited to data analysts and statisticians, certified coders, clinicians, auditors and fraud investigators. According to The National Health Expenditure Accounts (NHEA), U.S. health care expenditures rose by 2.8 percent in 2015 accounting for approximately 17.8 percent […]

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Five Traits of an Effective Healthcare Data Analyst

The key to successfully harnessing the power of data in healthcare is to analyze, interpret, and share the results in a way that is meaningful and effective for decision makers. Those located at the front lines — healthcare data analysts — play a central role in this process. As the healthcare industry rapidly changes, data […]

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  • Author: IntegrityM
  • Date: October 18, 2017
  • Category:

Efficiently Evaluating “Big Data” for Medicare Fraud Detection

With over 2 billion Medicare claims available for analysis since 2006, the term “Big Data” has no better application than in the health care industry. The opportunity for meaningful analyses resulting from big data is limitless. However, finding the best method for combing through Medicare claims data in an efficient manner can be tricky since […]

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