AI Triage Intake Tool
AI Triage Intake Tool
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Doctors face mounting cognitive load, documentation overhead, and fragmented data, which slow clinical encounters and delay decisions. This is a clinician-in-the-loop decision support assistant that reduces time to safe, defensible decisions and documentation—while maintaining or improving diagnostic quality and physician confidence. The system fits real clinical workflows (live consult, recording, or typed summary), surface relevant patient data and evidence-backed suggestions, and keeps the doctor in control at all times, with auditability, consent, and privacy compliance.
Prototype Demo
Prototype Demo
Patient Dashboard
AI Chatbot
The Client and Technical Advisor
The Client and Technical Advisor
Client: Ali Abbas
Associate Professor
Faculty of Engineering, University of Ottawa
Role in Project: Professor Abbas provided the project’s real-world brief and consistent guidance that grounded the team decisions. He set expectations and helped course-correct when the team drifted, keeping the team on the right path. His input ensured the team focused on solving the actual problem users face, not just building features.
Technical Advisor : Ismaeel Al Ridhawi
Associate Professor
Kuwait College of Science and Technology
Role in Project：Dr Ismaeel helped navigate implementation challenges with an expert set of eyes on our approach. He broke down complex problems and evaluated solutions from every angle to build something truly valuable and meaningful. His feedback sharpened our architecture, improved our methods, and strengthened the final deliverable.
Meet the Team
Meet the Team
First row, from left to right
Zahra Sultana
Backend Developer, Project Manager
Hassan Megahed
Backend Developer
Second row, from left to right
Reema Adnan
UX Designer and Project Manager
Shruthi
Frontend Developer
Yuhan Fu
Frontend Developer and Research
From the Students
From the Students
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