BCT worked with HATO Medical Technologies to rethink the platform's architecture and data flow from the ground up.

The project included:

• redesign of the platform architecture and data pipelines
• structuring and compliance around physiological health data
• integration of HATO's own AI models into a scalable backend
• clinical decision support integrated into existing workflows
• traceability and explainability throughout the data flow

When you work with medical data, precision isn't just an advantage. It's a prerequisite.

The solution had to turn complex and noisy physiological measurements into reliable, understandable and actionable clinical insight.

The platform connects HATO's own AI models with a robust backend and makes it possible to:

• analyze ECG and other physiological signals in real time
• identify anomalies and risk patterns automatically
• deliver decision support directly in the clinical workflows
• trace the whole way from raw data to the final recommendation

All AI-based results can be tested, understood and validated by clinicians.

This wasn't an AI experiment. It was critical infrastructure.

That's why we didn't start with prompts or models. We started with:

• everyday clinical work and hospital workflows
• regulatory requirements and compliance
• the practical constraints of working in a medical environment

Among other things, the work focused on:

• creating a compliant and future-proof data structure
• building scalable AI pipelines for analyzing signal data
• making the AI's decision path transparent, so clinicians can understand why a conclusion was reached
• creating a foundation that can scale across clinics and health systems

The new platform enables HATO Medical Technologies to work faster and more consistently with complex medical data.

The results include: