The IntegrityM Blog
Data Matching Techniques For Healthcare Fraud Detection
Healthcare fraud very seldom happens in a vacuum. Therefore, data matching — the ability to identify, match, and merge records that correspond to the same entities — is essential to healthcare data analysis. Using The NPPES Database For Data Matching The Centers for Medicare & Medicaid Services issues a unique identification number called a national […]
Demystifying Medicare Prepayment and Postpayment Claim Reviews
Medicare and other health plans have a variety of tools at their disposal to prevent and identify improper payments. The tools can differ depending on whether they are applied before claims are paid (prepayment review), or after claims are paid (postpayment review). Pre and postpayment reviews are both important program integrity strategies, and can make […]
Medicare Overpayment Recovery: Identifying and Calculating Overpayments
In fiscal year (FY) 2015, the error rate for the Medicare fee-for-service (FFS) program was 12.1 percent, or $43.3 billion. This result is an improvement over FY 2014, in which Medicare FFS had an improper payment rate of 12.7 percent, or $45.8 billion. Identifying Medicare overpayments is no easy task. The Medicare program is large […]
Improper Payments Elimination and Recovery Act: Identifying and Reducing Improper Payments
Each year, the Federal Government makes billions of dollars in improper payments. Improper payments can take the form of overpayments, payments to the wrong person, or payments for the wrong reason. Two examples of improper payments include the Federal Government paying $180 million to 20,000 dead individuals over a three-year period, as well as paying […]
GLȲD(Σ): Revolutionizing Healthcare Data and Statistical Analysis
What if there was a healthcare data analysis solution that could save you a significant amount of time in the sampling and extrapolation process, resulting in substantial cost savings, and therefore greatly increasing your return on every dollar invested into this process? More results with less time and costs! Manually performing sampling and extrapolation can […]