Billbrat turns your corrected medical bills into shared evidence. Upload the before and after. Expose the patterns. Build the dataset that holds the system accountable.
Every bill that gets fixed creates a before-and-after pair. That pair is a structured data point. At scale, these points expose who overbills, how, and how often.
Photo or PDF of both the original and corrected bill. Takes under two minutes. No coding knowledge required.
OCR and structured extraction parse CPT codes, charges, provider identity, and the correction between bills.
Your correction joins the evidence network. Repeat offenders, suspicious codes, and systemic billing patterns surface at scale.
Every correction is weak on its own. At scale, corrections become a structured dataset that reveals systemic behavior nobody else can see.
Billbrat does one thing well. It captures proof that bills got corrected. The product surface stays lightweight, focused, and defensible.
Your corrected bill already proved the system was wrong. Billbrat makes sure that proof counts for everyone who comes after you.