PreShield

Individuals and companies in the healthcare industry are finding new and innovative ways to commit fraud, take public and private money and then disappear. While the traditional retrospective investigative approach is still an integral and necessary function, stopping fraudulent claims before they are paid is vital in impacting the growing fraud crisis. Healthcare Fraud Shield’s pre-payment detection system, PreShield, is designed to:

  • Focus resources on the most viable and prospective suspicious claims using real-time data
  • Daily feeds that can be tailored based on claim attributes, staff availability, staff expertise, company initiative, and regulatory alerts and guidance
  • Increased Return on Investment
  • Reduce dollars lost by preventing fraudulent claims to be paid
  • Reduce the level of effort needed by investigators/analysts to find the fraudulent claims by reducing the excessive false positives returned by other fraud systems, allowing the staff to focus on the tangible suspicious claims/cases
  • Clear, concise and detailed alerts that provide reference points and helpful training on complex fraud topics and new schemes
  • Increase the intelligence of the product over time based on prior results, strengthening the use and efficacy of predictive analytics
  • Work seamlessly with your post-pay and case management system

View Full PreShield Product Sheet

Additional HCFS Products and Services

An integrated fraud, waste, and abuse solution that utilizes unique and proprietary data sources to maximize Return on Investment (ROI) and achieve superior results.

A pre-payment solution to reduce dollars lost from payment of ineligible claims.

A post-payment solution to monitor claims and suspicious activities.

A pharmacy analytics solution to identify improperly billed prescription drugs.

An AI-driven anomaly detection platform that identifies risk vectors from emerging schemes and behaviors.

An ad-hoc tool to run real-time queries and complex pattern reports from loaded data.

Expert analysis of claims, development of cases, and detection of systemic weaknesses.