We email the PDF to your work inbox, so you can forward it to your team.
By submitting you agree to Protecto’s privacy policy.
The challenge
Medical billing errors, such as upcoding, unbundling, and incorrect coding, cost the U.S. healthcare system over $200 billion each year. These errors create a financial burden on patients, insurance companies, and healthcare providers alike. The insurance provider needed a solution to detect and address these errors accurately while ensuring compliance and protecting patient data privacy.
Protecto enabled us to safely process claims data with LLMs without compromising privacy or accuracy, transforming our billing verification process.
Using advanced data protection and AI to streamline medical billing.
Want the full story? Get the case study PDF in your inbox and share it with your team.
The results
Successfully implemented secure, AI-powered billing verification system to combat $200 billion in medical overbilling. By ensuring PHI compliance through advanced data masking and using AI-powered billing validation, Protecto enables accurate, efficient claims processing while protecting patient data privacy.
Key achievements
Book a demo to see how Protecto finds and masks sensitive data before it reaches any AI model.