Iyara
AI-Powered Healthcare Innovation
Built AI-powered systems for healthcare delivery optimization and patient care improvement.
The Challenge
Iyara was building AI-powered solutions to improve healthcare delivery, but their initial approach relied on generic AI models that didn't understand medical context. They needed custom AI systems that could process medical documents, assist with diagnosis workflows, and integrate with existing healthcare information systems — all while maintaining strict data privacy and regulatory compliance.
The complexity of healthcare data, combined with the critical nature of medical decisions, required a solution that was both intelligent and explainable.
The Approach
Developed custom NLP models fine-tuned on medical literature and clinical notes
Built a RAG system with medical knowledge bases for context-aware responses
Implemented audit trails and explainability features for clinical decision support
Created integration layers for HL7/FHIR healthcare data standards
Designed human-in-the-loop workflows for high-stakes decisions
The Stack
AI/ML
Backend
Integration
Compliance
The Outcomes
Key Insight
" Healthcare AI isn't about replacing doctors — it's about giving them superpowers. The most successful features weren't the ones that made autonomous decisions, but the ones that surfaced relevant information at the right moment. We learned to position AI as a "second pair of eyes" rather than a replacement, which dramatically improved clinician adoption and trust. "
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