Inspiration
In many cities, public healthcare systems suffer from corruption, lack of transparency, and intentional delays in patient care — leading to tragic consequences where people die waiting for medical attention. HealthQueue 360 was created to fight this problem. It gives citizens and administrators real-time visibility into the flow of care, helping rebuild trust in public health services.
What it does
HealthQueue 360 is an open-source, transparent clinic management prototype that tracks every step of the healthcare process — from appointment scheduling to consultation, prescription, and pharmacy pickup. It displays waiting times, doctor efficiency, and completed cases in a clear and visual dashboard, so everyone can see how the system is performing.
How we built it
The MVP was built entirely with HTML, Tailwind CSS, and Vanilla JavaScript, using a single embedded JSON as the database. All actions — scheduling, consultation, and prescription — modify in-memory data in real time, creating a complete simulation of a working healthcare system without needing a backend.
Challenges we ran into
- Designing a full clinic workflow without a real database or server.
- Keeping the system fast and responsive while updating multiple views dynamically.
- Creating an interface that is simple enough for public administrators and citizens to understand instantly.
Accomplishments that we're proud of
- Built a fully interactive MVP that runs entirely on the browser.
- Simulated a complete health queue system with doctors, patients, and pharmacies.
- Designed a clean, data-driven dashboard that can inspire transparency in public health.
What we learned
- How to model real-world healthcare logic in a lightweight front-end prototype.
- That transparency and accessibility can be more powerful than complex tech stacks.
- How to make open data useful for social accountability.
What's next for HealthQueue 360
- Connect the system to real health APIs and databases.
- Add real-time analytics and public dashboards for citizens.
- Enable AI-based diagnosis suggestions and queue optimization.
- Deploy in pilot programs for municipal clinics to fight corruption and delays in healthcare.
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