AI Agent Integrates FHIR Data and Snowflake DB for Comprehensive Patient Reporting

Details

The workflow is designed to solve the challenge of 'scattered patient data across multiple clinical systems.' Specifically, based on a natural language query, it simultaneously queries a Snowflake database and relevant records from Epic FHIR—one of the most widely used electronic health record systems. The retrieved data is analyzed using GPT-5.1, presenting important clinical findings and imaging results in a clear, structured format. This AI assistant maintains HIPAA compliance and patient confidentiality by only presenting information found within the provided context. 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 in a single document. The system incorporates healthcare-specific guardrails, such as prohibiting diagnosis or providing medical advice, and maintains transparency by clearly referencing data sources. This makes it an ideal tool for busy healthcare environments where quick, accurate access to patient data is critical for informed decision-making.