How to build a Patient 360 Agent
A medical data assistant that queries Snowflake databases and Epic FHIR systems using natural language, then generates comprehensive patient reports with AI-driven analysis.
Challenge
Healthcare professionals struggle to efficiently access, correlate, and interpret patient data scattered across multiple clinical systems like Snowflake databases and Epic FHIR records.
Industry
Healthcare
Department
Customer Success
Integrations
Snowflake
Epic FHIR
The Medical Data Assistant is an intelligent healthcare workflow designed to streamline how clinicians access and understand patient information. When a healthcare professional submits a question, the system simultaneously queries a Snowflake database using natural language and retrieves relevant records from Epic FHIR—one of the most widely used electronic health record systems.
The workflow leverages GPT-5.1 to analyze the retrieved data, presenting medical information in a clear, structured format while highlighting important clinical findings and imaging results. The AI assistant is specifically configured to maintain HIPAA compliance and patient confidentiality, only presenting information that exists in the provided context without making inferences or assumptions about medical details.
All gathered information—the original query, database results, AI analysis, and FHIR medical data—is then compiled into a professionally formatted Patient Report using a template system. This report includes dedicated sections for patient information, query results, AI analysis, and medical images/data, giving clinicians a comprehensive view of the patient in a single, easy-to-read document.
The system is designed with healthcare-specific guardrails: it cannot diagnose conditions or provide medical advice, and it clearly references data sources to maintain transparency. This makes it an ideal tool for busy healthcare environments where quick, accurate access to patient data is critical for informed decision-making.






