A MedTech client’s app was failing. Its core AI was “hallucinating”, creating dangerous outputs and causing rapid user churn. The app also lacked basic patient/document management. We were hired for a rescue mission to re-engineer the core product and restore user trust.
Challenge
When the core feature becomes the core problem
The product’s core AI wasn’t just inaccurate; it was actively “hallucinating”. It generated absurd, nonsensical text completely unrelated to the medical consultations it was supposed to transcribe. This created professionally dangerous outputs, completely shattered user trust, and caused users to abandon the platform in droves. Furthermore, the application suffered from crippling functional gaps. Clinicians had no way to access centralized patient or document lists, nor could they export or share completed reports. How could the business survive when its primary feature was not only non-functional but actively harmful?
Solution
We moved beyond off-the-shelf prompts to build a robust, scalable custom architecture. We developed a middleware layer that “sanitizes” and “stylizes” inputs with SEO constraints and negative keywords before the AI ever touches them.
AI Stack Overhaul:
We replaced the failing, obsolete model with state-of-the-art solutions in the GPT-4o class models. This single move immediately eradicated the “hallucination” problem and elevated accuracy to a clinical-grade standard.
Real-Time Engineering:
We engineered an innovative real-time transcription mode from the ground up, integrating Azure Speech to leverage the client’s existing resources. We built a novel “placeholder-tag” mechanism —a scalable solution that converts any standard text field into a live, interactive transcription interface.
Core Functionality:
We built the essential data management interfaces clinicians required, delivering clean, responsive Patient Lists and Document Lists with full search and sort capabilities.
Workflow Tools:
We empowered clinicians with critical export tools, including one-click, client-side (cost-saving) exports to PDF and DOCX and a “Send via Email” function.
Results
Product Viability Restored:
We completely eliminated the critical AI failures, halting user churn and making the product commercially viable again.
Clinical-Grade Reliability:
The platform was transformed from an unstable, frustrating tool into a powerful, reliable clinical assistant that users and the founder could finally depend on.
UX Transformed:
Clinicians now have a feature-rich application with full control over their data, significantly accelerating their daily documentation workflows.
Foundation for Growth:
Our scalable architecture, particularly the “placeholder-tag” mechanism, dramatically lowers the cost and complexity of future feature development for the client.
