Automated Auditors, LLC
About Us
Christy Warner
Christy Warner, President of Automated Auditors, LLC, brings more than 25 years of specialized experience working with Medicare and Medicaid claims data. She is a recognized subject matter expert in the detection of fraud, waste, and abuse within Medicare and Medicaid programs. She previously served as Deputy Project Director for the Medicaid Integrity Contract covering the Northeast region and, more recently, as lead model developer for the Centers for Medicare & Medicaid Services (CMS) Fraud Prevention System (FPS 2.0).
Christy has personally developed over 50 algorithms for fraud, waste, and abuse detection, several of which have collectively identified more than $2 billion in improper payments. Her opioid fraud models, for example, played a key role in identifying opioid pill mills operating out of Brooklyn, New York.
You can reach Christy at christy@autoauditllc.com
Our Services
Medicare & Medicaid Fraud Detection
Medicare & Medicaid Fraud Detection
Medicare & Medicaid Fraud Detection
This is the year for fighting fraud. Since the release of Nick Shirley's viral video uncovering rampant daycare fraud in Minnesota, CMS and other stakeholders are extremely concerned with how to mitigate losses due to fraud. With 25 years of experience developing customized fraud detection models, our combined domain and technical expertise will quickly and accurately identify leads.
Accounts Payable Fraud Detection
Medicare & Medicaid Fraud Detection
Medicare & Medicaid Fraud Detection
Our team has worked on several Accounts Payable (A/P) fraud and recovery audits. In our reviews, we have found duplicate payments, ghost vendors, duplicate vendors, employees funneling money to vendors for kickbacks, and other vulnerabilities that plague A/P departments.
Data Matching
Medicare & Medicaid Fraud Detection
Data Matching
We provide customized data matching and entity resolution services designed to address complex, non-standard requirements. Many data matching initiatives do not align with off-the-shelf solutions and therefore demand tailored development and configuration. Leveraging our advanced fuzzy-matching libraries, we deliver precise, scalable solu
We provide customized data matching and entity resolution services designed to address complex, non-standard requirements. Many data matching initiatives do not align with off-the-shelf solutions and therefore demand tailored development and configuration. Leveraging our advanced fuzzy-matching libraries, we deliver precise, scalable solutions that consistently outperform generic tools. I previously served as Lead Architect for the Centers for Medicare & Medicaid Services (CMS) Medi-Medi Data Matching Project, where I directed the development of a comprehensive system that mapped Medicare and Medicaid providers using sophisticated fuzzy matching and link analysis techniques.