About
Developed by oncologists, this AI assistant is designed to transform multidisciplinary tumor board (MTB) workflows through real-time transcription, literature integration, structured summaries, and clinical decision support.
Challenge, approach, and impact
Challenge
Multidisciplinary tumor boards bring specialists together to review patient cases, make treatment decisions, and share expertise. Our client aimed to reduce administrative work—including documentation, literature research, and post-meeting analysis—while improving decision quality and ensuring consistent, equitable care. The solution captures multi-speaker discussions in real time, integrates medical literature, creates structured summaries, and ensures PHI compliance.
Solution Requirements
Multidisciplinary tumor boards bring specialists together to review patient cases, make treatment decisions, and share expertise. Our client wanted to reduce administrative work—including documentation, literature research, and post-meeting analysis—while improving decision quality and ensuring consistent, equitable care. The solution captures multi-speaker discussions in real time, integrates medical literature, creates summaries, and ensures PHI compliance.
How we built
Testimonials
Volodymyr Hodiak, CTO @ OTAKOYI
OTAKOYI
“This AI assistant successfully proved the feasibility of an AI-powered, compliant, and real-time assistant for oncology collaboration. Its modular Azure-native architecture that combines speech, embeddings, summarization, and retrieval establishes a robust foundation for enterprise-scale deployment across hospital systems and research institutions.“
Team structure
Client team
Sahir
CEO
Project stakeholder
The client stakeholders were working closely with the team at OTAKOYI
Agency team
1 x Project Manager
Governance
1 x Tech Lead
Production
1 x AI/ML Engineer
Production
1 x Frontend Engineer
Production
