Cookies help us display personalized product recommendations and ensure you have great shopping experience.

By using this site, you agree to the Privacy Policy and Terms of Use.
Accept
SmartData CollectiveSmartData Collective
  • Analytics
    AnalyticsShow More
    business using business intelligence
    How to Use a Competitive Intelligence Dashboard to Turn Market Data Into Smarter Marketing Decisions 
    9 Min Read
    unusual trading activity
    Signal Or Noise? A Decision Tree For Evaluating Unusual Trading Activity
    3 Min Read
    software developer using ai
    How Data Analytics Helps Developers Deliver Better Tech Services
    8 Min Read
    ai for stock trading
    Can Data Analytics Help Investors Outperform Warren Buffett
    9 Min Read
    media monitoring
    Signals In The Noise: Using Media Monitoring To Manage Negative Publicity
    5 Min Read
  • Big Data
  • BI
  • Exclusive
  • IT
  • Marketing
  • Software
Search
© 2008-25 SmartData Collective. All Rights Reserved.
Reading: Data Mining: A new weapon in the fight against Medicaid fraud
Share
Notification
Font ResizerAa
SmartData CollectiveSmartData Collective
Font ResizerAa
Search
  • About
  • Help
  • Privacy
Follow US
© 2008-23 SmartData Collective. All Rights Reserved.
SmartData Collective > Big Data > Data Mining > Data Mining: A new weapon in the fight against Medicaid fraud
Data Mining

Data Mining: A new weapon in the fight against Medicaid fraud

SandroSaitta
SandroSaitta
3 Min Read
SHARE

On Friday July 16, US Attorney General Eric Holder and Secretary of Health and Human Services Kathleen Sibelius arrived in Miami to announce that 94 people had been charged with defrauding Medicaid, the US government’s health system. As the announcement was being made, 36 people had been arrested. In the city of Miami alone, 24 defendants were charged for their alleged participation in submitting false Medicare claims amounting to $103 million.

On Friday July 16, US Attorney General Eric Holder and Secretary of Health and Human Services Kathleen Sibelius arrived in Miami to announce that 94 people had been charged with defrauding Medicaid, the US government’s health system. As the announcement was being made, 36 people had been arrested. In the city of Miami alone, 24 defendants were charged for their alleged participation in submitting false Medicare claims amounting to $103 million.

A day before the announcement, the Florida Attorney General’s Office presented a letter to the Centers for Medicare and Medicaid Control requesting a Federal waiver that will allow them to conduct data mining operations in order to curb Medicaid fraud. The Florida Attorney General already operates a Medicaid Fraud Control Unit (MFCU). Normally this unit would not be allowed to access information collected by Medicaid in order to perform data mining, even if it’s for the purpose of fighting fraud. Secretary Sibelius has approved Florida’s request and hopes to see a pilot program beginning in that state on January 1st, 2011.

More Read

Intro to Pervasive Business Intelligence (via…
Early Indications February 2010: Ticket Punching
5 Challenges Your Company Has to Overcome to Succeed in Data Mining
How to make a progress bar in R
The election in Iran and some real data analysis

The measure will allow Florida’s MFCU to access data contained in the Medicaid Management Information System (MMIS). The MFCU can then utilize statistical models, complex algorithms, and pattern recognition programs to detect possible fraudulent or abusive practices. The waiver also allows the analysis of billing patterns by medical facilities that treat patients insured by Medicaid and Medicare.

Data mining is already used to uncover fraudulent billing and other irregularities in the Medicaid system. The national Medicare-Medicaid Data Match program compares the coding systems of Medicare and Medicaid in order to detect vulnerabilities in the billing and payment processes. The Florida waiver will allow deeper probing of data to discover fraudulent patterns.

Guest post by James Mowery. 

James is a computer geek that writes about technology and related topics. To read more blog posts by him, go to laptop computers.

Share This Article
Facebook Pinterest LinkedIn
Share

Follow us on Facebook

Latest News

AI driven big data company
How AI-Driven Workflows Are Changing the Way Companies Think About Data Risk
Artificial Intelligence Data Management Exclusive Risk Management
ai product development
Why Businesses Outsource AI Product Development Companies
Exclusive News
banking tools
The Fintech and Banking Tools Global Entrepreneurs Rely On
Fintech Infographic
business using business intelligence
How to Use a Competitive Intelligence Dashboard to Turn Market Data Into Smarter Marketing Decisions 
Analytics Big Data Exclusive Marketing

Stay Connected

1.2KFollowersLike
33.7KFollowersFollow
222FollowersPin

You Might also Like

New Media Quizzes, Surveys, and Games: Business Analytics Opportunities

3 Min Read

Analytics and the myth of the aha moment

4 Min Read

For full ERP benefits, use cloud infrastructure and cloud applications.

7 Min Read

Smarter Planet Means the Deep Web The Deep Web (or Deepnet,…

1 Min Read

SmartData Collective is one of the largest & trusted community covering technical content about Big Data, BI, Cloud, Analytics, Artificial Intelligence, IoT & more.

data-driven web design
5 Great Tips for Using Data Analytics for Website UX
Big Data
AI and chatbots
Chatbots and SEO: How Can Chatbots Improve Your SEO Ranking?
Artificial Intelligence Chatbots Exclusive

Quick Link

  • About
  • Contact
  • Privacy
Follow US
© 2008-25 SmartData Collective. All Rights Reserved.
Welcome Back!

Sign in to your account

Username or Email Address
Password

Lost your password?