The Future of Personal Health Assistant:

This course integrates the principles of database systems, AI agents, and health informatics. Students will gain expertise in the following areas:

• Multimodal Data Engineering: Ingesting, cleaning, and normalizing heterogeneous data (time-series sensor data, unstructured clinical notes, structured FHIR records)
• Agentic Architectures: Designing LLM-based agents capable of tool use (function calling), planning, and memory management (LangChain, LlamaIndex).
• Retrieval-Augmented Generation (RAG): Implementing vector databases and semantic search strategies optimized for personal health contexts.
• Privacy and Ethics: Understanding HIPAA compliance, differential privacy, and the ethical implications of AI "hallucinations" in health advice.
• HCI for Health: Designing applications and interfaces that foster trust, explainability, and engagement in self-tracking and patient-provider communication.
• Domain Knowledge: Understanding the basics of chronic disease management, personal health monitoring, and clinical decision support.