Health Clarity AI

We built Health Clarity AI to act as a supportive co-pilot, not a replacement for professional judgment. The app uses specialized models trained on clinical documentation to suggest the most likely codes, but it always presents the source text so you can verify the logic instantly. Our philosophy is that the human coder remains the final authority on every claim. The AI handles the initial search and mapping to save you time, while you provide the essential audit and final sign-off. How does your current auditing process handle AI-generated suggestions, and what level of transparency do you need to feel confident in a code? We would appreciate your feedback at support@healthclarity.dev