BlockMedix AI: Decentralized Healthcare System
Academic proof of concept combining permissioned health-record workflows, smart contracts, and experimental AI-assisted analysis.
Workflow at a glance
Manage record consent
Model patient/provider access workflows.
Use smart contracts
Explore record and permission transactions.
Explore AI assistance
Study image analysis and text summarization.
Review prototype
Assess academic integration and limitations.
Project facts & reported results
Implementation fact
Implementation fact
Project Overview
Problem Statement
Traditional healthcare systems face data security vulnerabilities, lack of patient data ownership, and inefficient data sharing between providers. Need for secure, immutable medical records with AI-powered diagnostic capabilities.
Approach & Methodology
Built an academic Ethereum smart-contract workflow for record access and consent, with experimental image classification and BART-based text summarization. Security mechanisms are prototype implementation features, not a compliance certification.
Outcome & Scope
Explored how consent workflows, smart contracts, and AI-assisted record analysis can be combined in an academic application. No clinical validation, compliance certification, or absolute immutability guarantee is claimed.
Key Features & Capabilities
Smart-contract record and access workflows
Consent-oriented patient and provider interface
Experimental image classification
BART-based text summarization
Current Scope & Limitations
A prototype does not establish GDPR/HIPAA compliance or end-to-end security.
No clinical evaluation or production deployment is claimed.