HEALIS
An AI-driven, centralized healthcare platform that streamlines patient care, automates processes, and provides real-time health insights.
Created on 29th December 2024
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HEALIS
An AI-driven, centralized healthcare platform that streamlines patient care, automates processes, and provides real-time health insights.
The problem HEALIS solves
- Revolutionizing Healthcare: Smashes the inefficiencies of fragmented systems, making healthcare faster, smarter, and downright futuristic.
- A Healthcare Superpower: One platform to rule them all—records, appointments, prescriptions, emergency care—all at your fingertips.
- Life-or-Death Reinvented: No more delays in emergencies—AI pinpoints nearby hospitals and pharmacies instantly, saving lives when seconds count.
- Record-Breaking Efficiency: Destroys the 46% of global healthcare delays caused by disorganized records with a sleek, centralized system.
Who’s Winning?
- Patients: Personalized, real-time health insights that feel like having a doctor in your pocket.
- Doctors: A dream come true—every patient’s data at their fingertips, anytime, anywhere.
- Healthcare Providers: Say goodbye to outdated systems and hello to high-tech harmony.
Insane Features:
- AI That Cares: Predicts health trends, flags risks, and even knows if that burger is a bad idea (almost).
- One ID, Infinite Power: Appointments, tests, prescriptions, all linked to you—no more fumbling for papers.
- Emergency Genius: AI knows where you are, finds the closest help, and tracks health metrics in real-time.
Global Domination Potential:
- Market Goldmine: Built to disrupt the $11 trillion healthcare market, growing 10% annually.
- Built for World Domination: Scales effortlessly, integrates globally, and adapts locally—all while looking sleek and modern.
This is healthcare, turbocharged. 🌟
Challenges we ran into
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Data Security & Privacy
- Challenge: Handling sensitive health data while adhering to strict regulations like HIPAA.
- Solution: Implemented JWT-based encryption for secure authentication and role-based access control (RBAC) to restrict access based on user roles.
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AI Accuracy
- Challenge: Ensuring the AI provided reliable and actionable insights, especially in health predictions and emergency support.
- Solution: Used pre-trained models and continuously updated them with real-world data for better precision and reliability.
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Scalability
- Challenge: Designing a system that could handle rapid growth without performance degradation.
- Solution: Adopted a microservices architecture, allowing individual services to scale independently as needed.
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Integration Complexity
- Challenge: Linking third-party APIs like DigiLocker and mapping services seamlessly.
- Solution: Designed modular APIs to ensure smooth communication and compatibility with external systems.
A Specific Hurdle
Bug: Inconsistent health data formatting between different sources (e.g., labs, hospitals).
- Impact: It caused errors in patient record consolidation and AI-driven insights.
- Resolution: Developed a data normalization layer that standardizes incoming data into a unified format before storing it in the database.
These challenges not only tested our technical expertise but also strengthened our ability to solve problems collaboratively, leading to a robust and scalable sol
Tracks Applied (1)
MongoDB
MongoDB
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