CyberHealth-AI: Stopping Healthcare Fraud Where It Starts

The Problem
Healthcare fraud costs exceed $455,000,000,000 annually worldwide (U.S. share: $100,000,000,000 – $300,000,000,000).

Provider fraud is unfortunately 60% of all Insurance Fraud
Most solutions focus on post-claim detection, leaving fraud to occur and requiring costly investigations and recoveries.

The Solution
CyberHealth-AI embeds AI-powered, real-time verification directly into patient encounters at the point of care:

• Wearable innovative device that immerses the provider into the patient experience

• Video & voice documentation of entire procedure / experience

• Real Time Patient and Provider authentication

• Real Time very accurate measurements for every procedure

• AI-driven analysis of entire patient experience sent to patients EHR via encrypted back end data base driven by AWS

• Video documentation and block chain protection of all product serial numbers used during procedure

Why It Matters

• Proactive Prevention → Stops fraudulent claims before they are submitted

• Seamless Integration → Works within existing Electronic Health Record (EHR) workflows

• Immediate ROI → 10x to 12.5x return on payer investment (based on industry modeling)

Market Impact (Illustrative)
CyberHealth-AI addresses high-fraud verticals across the healthcare ecosystem:

• Payers (Insurers, Medicaid, Medicare Advantage): Fraud exposure $100B–$300B → potential savings $10B–$30B

• Healthcare Providers (Hospitals, Clinics): Fraud exposure $80B–$100B → potential savings $8B–$10B

• Pharmaceutical & DME: Compliance risk $20B–$40B → potential savings $2B–$4B

• International Markets: Global fraud exposure $455B → scalable impact

CyberHealth-AI: Ending healthcare fraud where it starts