Geek Squad Total Protection subscription has been renewed Phishing, Scam, Social Engineering, Fraud In other cases, they attempt to trick users into downloading malware or providing remote access to their computers. Usually, when scammers are contacted, they ask to provide personal information (e.g., full name, credit card details, social security number), or pay a "cancelation" (or other) fee. Scammers behind this email attempt to trick recipients into calling the +1-80 number. These scams work when recipients believe that they have been charged for something that they have not purchased (in this case, a Geek Total Protection subscription). It also contains a fake invoice number, renewal date, and service name. It claims that $499.99 have been charged for the services. The email claims that Greek Squad has automatically renewed the Geek Total Protection subscription. ![]() Geek Squad has nothing to do with this letter. ![]() The purpose of this email is to trick recipients into calling the provided number (contacting scammers). Our health care solutions assist payers, providers and integrators with ensuring appropriate access to health care data and programs, enhancing disease management contact ratios, improving operational processes, and proactively combating fraud, waste and abuse across the continuum.After examining the email, we found that it is disguised as a letter from Geek Squad, a subsidiary of Best Buy (a consumer electronics corporation). LexisNexis Risk Solutions is part of Reed Elsevier, a leading publisher and information provider that serves customers in more than 100 countries with more than 30,000 employees worldwide. Combining cutting-edge technology, unique data and advanced scoring analytics, we provide products and services that address evolving client needs in the risk sector while upholding the highest standards of security and privacy. LexisNexis Risk Solutions is a leader in providing essential information that helps customers across all industries and government predict, assess and manage risk. Enable investigations that reveal the hidden roots of fraud within a provider network as opposed to the traditional claim by claim approach.Leverage public records data bases in conjunction with social network analytics to uncover previously hidden relationships between entities, assets and people.Enhance traditional predictive modeling improving government health care agencies' ability to aggregate, analyze and link vast amounts of data quickly and accurately.Fuhrman will discuss the use of social network analytics to: The Next Wave: The Role of Social Networking Analytics in Predictive ModelingĬlint Fuhrman, senior director of government health care Helping to improve investigation or bill audit workflow by prioritizing bills or providers for follow-up.Identifying problem claims or providers that can be targeted either post-pay and pre-pay based on complex patterns in the diagnosis, treatment and billing pattern of the providers that are not easily captured in rules.Identifying additional claim edits beyond the standard edits to modify or stop payments on claims before they are made.Cunningham will explore how analytics, including predictive modeling can be a valuable addition to effectively combating fraud, waste and abuse by: Ken Cunningham, VP and segment general manager LexisNexis offers a comprehensive suite of health care solutions, including comprehensive identity management, social and predictive analytics and data enrichment that help uncover complicated fraud schemes and collusion to assist organizations comply with new regulatory requirements.Īdditional information on the LexisNexis presentations: Both presentations will educate attendees on how incorporating advanced technologies, into the health care claims review, provider enrollment and investigation workflows enable commercial and government health care participants to reduce fraud, and improve expensive investigative resources while maximizing recoveries. Recently, LexisNexis Risk Solutions announced that Bill Fox, senior director of health care and Clint Fuhrman, senior director of government health care will speak at the National Predictive Modeling Summit. LexisNexis Health Care Executives to Present Next Week at National Predictive Modeling Summit
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