3D・AR・VR
Differential diagnosis system
RECORD SIX is a differential diagnosis support system designed to enhance clinical efficiency and accuracy. AI-powered by ChatGPT, it supports medical staff by generating diagnostic questions and conclusions from patient history.
1 year
Team size:
7

Requirements Definition
Basic Design
Detail Design
Development
Testing
Release
Maintenance
Its key features include:
・Patient Record Management: Organize and manage patient information for each clinic.
・Staff Management: Oversee and coordinate medical staff, including doctors.
・3D Human Body Model for Diagnosis: Utilize a visual 3D model to assist in disease diagnosis.
・ChatGPT Integration: Leverage AI to generate diagnostic questions and conclusions based on historical patient records.
・Stripe Payment Integration: Facilitate secure and efficient payment processing.
Devices
.
Browser(Chrome, Safari), Iphone, Android Phone, Tablet
Server and others
.
AWS EC2, Route53, Load Balancer, Cloud Watch
Technology






Challenge
The system is designed to aid medical professionals by utilizing AI to generate diagnostic insights, but it also needs to balance accurate medical recommendations with privacy regulations (such as HIPAA or GDPR) and clinical workflow integration.
Key challenges include:
・Ensuring the accuracy and reliability of the AI-generated diagnostic suggestions and conclusions, particularly when dealing with complex medical cases
・Making sure the AI-powered questions are helpful to the clinical staff without overcomplicating the diagnostic process
Solution
Clinical Decision Support with AI Validation
・ChatGPT AI Integration:
・Generate diagnostic questions based on patient history, symptoms, and test results
・Provide AI-generated differential diagnoses as preliminary insights (with links to relevant medical literature)
・Clinician Review: AI suggestions should always be reviewable and editable by the clinician before final decisions are made, ensuring human oversight of critical decisions
・Continuous Learning: Allow the system to learn from clinician feedback and improve suggestions over time (e.g., correcting errors or adjusting for regional medical practice)
Project Gallery
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