MediScribe

MediScribeAI

🎯 Inspiration
In the healthcare industry, accurate and timely documentation is crucial for effective patient care. However, many medical professionals struggle with manual record-keeping, which can lead to errors, inefficiencies, and miscommunication.

We wanted to create a smart AI-powered assistant that helps doctors, nurses, and healthcare providers automate patient record-keeping and receive diagnostic insights effortlessly.

Our goal was to reduce administrative burden, enhance diagnostic accuracy, and improve patient outcomes through natural language processing (NLP) and AI-driven analytics.

What it does

🔹Doctor clicks "Start Transcription."
🔹Speak naturally—AI transcribes in real time.
🔹Click "Stop" to finish recording.
🔹Click "Summarize" to summarize the text. 🔹Click "Download"—Save as a .txt file of transcription.
🔹Click "Get Diagnosis" to receive an AI-generated diagnosis based on the description of the patient.

🏗️ How We Built It

Tech Stack & Tools Used
🔹 Frontend: React.js, Tailwind CSS for a clean and responsive UI
🔹 Backend: Node.js with Express for handling requests
🔹 AI Integration: OpenAI's GPT-3.5 for generating medical summaries and symptom analysis

🚧 Challenges We Faced

🔴 Speech-to-Text Complexity: Accurately transcribing medical jargon was a challenge. We received assistance from AI to develop an accurate transcriber that was able to keep track what was said.

🔴 Trouble With API Rate Limits: One of the biggest challenges we faced during development was
dealing with API rate limits, particularly when integrating OpenAI’s GPT-4 for medical summaries and symptom analysis. We worked around this by controlling the number of requests our program makes.

What we learned

🎯 AI can revolutionize healthcare by reducing manual workload and improving decision-making.
🎯 Building for real-world impact means balancing automation with human oversight.