HealthLens

"Transforming Medical Reports into Actionable Insights."

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Inspiration

HealthLens was inspired by my father’s struggle to understand his medical report. He had to wait hours for his doctor’s response just to ask simple questions like, “Is my report better than the previous one?” and “Should I be worried?” That moment made us realize patients have access to reports, but not clear understanding.

What it does

HealthLens uses AI to simplify medical reports, explain health metrics in easy language, compare past reports, and provide actionable insights instantly.

HealthLens MVP Dashboard

1.) Tracks complete user medical report history in one place 2.) Stores past analyses for easy future reference 3.) Provides organized dashboard view of all uploaded reports 4.) Lets users monitor health trends over time 5.) Maintains doctor consultation/chat history linked to reports 6.) Creates a centralized medical record hub for better healthcare management 7.) Enables quick access to previous diagnoses and recommendations

How we built it

We built HealthLens using React/Next.js for frontend, TypeScript backend, OCR for report extraction, AI/LLM integration for analysis, and database storage for report history.

Challenges we ran into

Handling different report formats, ensuring AI explanations stayed simple yet accurate, and building meaningful report comparison logic were our biggest challenges.

Accomplishments that we're proud of

We turned a real-life problem into a working MVP that can analyze reports, compare health progress, and reduce patient confusion.

What we learned

We learned how to build AI responsibly in healthcare, simplify complex medical data, and create empathetic user-first healthcare solutions.

What's next for HealthLens

We plan to add wearable integrations, predictive health analytics, multilingual support, and doctor collaboration features to make HealthLens a complete AI healthcare assistant.

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