Demo: Streamlining Health Insurance Claims Verifications with AI-Blockchain Integration through AI+ROAX (Rod of Asclepius eXchange)

Li Lianjie Anthony, Kenneth Goh, Ansel Lim

Published: 12 Oct 2025, Last Modified: 13 Oct 2025GenAI4Health 2025 PosterEveryoneRevisionsBibTeXCC BY 4.0
Keywords: Blockchian, AI, Artificial Intelligence, Insurance, Health Systems, Healthcare costs, Generative AI, LLM, AI Agent
TL;DR: This paper demonstrates how AI and blockchain technologies can be combined to address the issue of high healthcare costs and administrative burden associated with making insurance transactions between healthcare providers and insurance companies.
Abstract: Current healthcare systems are inefficient and require technological overhaul. The administrative burden of health insurance claims inundates physicians with paperwork and creates friction between providers, patients, and insurers. The claims process is further complicated by the lack of interoperability between electronic medical record systems and the need for verifiable and trusted documentation in a trustless environment. We present AI+ROAX, a demonstration of a novel health informatics platform that integrates a generative AI agent with ROAX (Rod of Asclepius Exchange), a blockchain-based health information exchange. Our system streamlines the translation of unstructured clinical notes into structured billable data formats, fills up cumbersome insurance questionnaires, and secures the resulting medicolegal documents on a blockchain. AI+ROAX showcases a physician-in-the-loop workflow in which cryptographically proven finalized documents are securely shared with patients, who have self-custody of their own data. We highlight innovative features such as patient-controlled modular data sharing and how AI+ROAX could be an enabler for decentralized research on health records. AI+ROAX represents a practical implementation of next-generation technologies to enhance efficiency, security, and trust in healthcare claims administration, and advance patient-centric autonomy and data portability in a globalized, mobile world. Submission is made under "Topic 1: GenAI Applications and Use Cases in Health" and "Track 2: Demonstration Papers".
Submission Number: 162