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Secure AI Health Assistant with EHR
Demonstration of a secure AI virtual health assistant that integrates with hospital EHRs, handles HIPAA data, supports multimodal interaction, and includes live code walkthrough.
In this talk, I will demonstrate the potential of an AI-powered virtual health assistant designed for hospitals, leveraging the latest advancements in Large Language Models (LLMs), NLP, and AI-driven integrations. The assistant interacts with patients, offering 24/7 support by answering queries, scheduling appointments, and providing real-time health updates. A key challenge in this project was integrating the assistant with electronic health records (EHR) while ensuring compliance with HIPAA and data privacy standards. I will walk through how GPT-OSS models were fine-tuned locally to provide fast, secure, and accurate responses to patient queries.
This talk will cover:
- Technical challenges such as integrating with hospital systems, handling sensitive patient data, and ensuring the assistant’s accuracy.
- How multimodal AI (voice, text, and potentially vision) can improve the patient experience.
- A live demo of the virtual assistant, including a walkthrough of the code behind the system.