MAZOflow

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🏥 MAZOflow Inspiration At the emergency room, every minute counts. Currently, hospital workflows are hampered by long wait times and inefficient prioritization processes. We built MAZOflow to ensure that those in the most critical condition get the immediate attention they need.

🚀 What it does Intelligent Prioritization: Ranks patients by risk using real-time data.

Clinical Summaries: Delivers concise, AI-generated summaries to doctors for faster decision-making.

Workload Reduction: Significantly reduces the administrative burden on nursing staff.

🛠 How we built it Frontend/UX: Developed using Lovable for a seamless, rapid-response interface.

Intelligence: Integrated Gemini for agentic AI support to handle complex data parsing.

Logic: Custom Risk Assessment Metrics designed to quantify and visualize patient status.

🚧 Challenges we ran into Technical Syncing: We faced hurdles syncing Gemini's agentic capabilities with the Lovable application framework.

Time Constraints: Integrating multiple complex systems into a unified dashboard within a limited hackathon timeframe.

🏆 Accomplishments that we're proud of Successfully deployed a fully functional app.

Built a dual-sided ecosystem: a streamlined patient check-in form and a comprehensive nurse dashboard for real-time prioritization.

🧠 What we learned The deep intricacies and pain points of current hospital emergency room workflows.

The vital importance of clear communication and effective task delegation in a high-pressure team environment.

🔮 What's next for MAZOflow Computer Vision: Integrating visual analysis for more accurate, automated heartbeat and vital sign monitoring.

Robustness: Hardening the infrastructure to handle high-volume hospital traffic.

Built With

• api
• lovable