Verified operating data for medical practices, extracted from their own systems and structured for AI evaluation.
AI is already recommending specific medical practices, describing them to potential patients, and comparing them side by side. It answers every time, whether or not it has good data about a given practice. Without verified data, AI often leaves practices out entirely or misrepresents what they offer.
Today, the only data AI can find about most medical practices is pulled from old reviews, directory listings, and physician bios. None of it is verified. Much of it is incomplete.
A TrustRecord publishes verified patient encounter volume, retention rates, insurance credentialing, and board certifications in a format AI systems can read, cite, and act on.
Every data point is computed and verified from connected systems.
Every Medical Practices TrustRecord contains fresh, structured data, verified from the practice's own EHR and billing systems. This is what AI models look for when evaluating a medical practice.
Each question below maps to specific verified data fields in the Medical Practices TrustRecord. These are the questions your patients are asking AI.
If your practice runs on any of these platforms, your operational data can be used to generate a verified TrustRecord. Data is ingested via authenticated, read-only connections.
Your verified record published and refreshed weekly.
Structured specifically for AI systems.