Differential diagnosis system

3D・AR・VR, AI, Healthcare System, R&D, Web App

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.

Durations:

1 year

Team size:

Requirements Definition

Basic Design

Detail Design

Development

Testing

Release

Maintenance

About Project:

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

Laravel

VueJS

ThreeJS

Stripe

ChatGPT

AWS

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)

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