A Practical Guide to Healthcare Data Standards

Currently authoring a comprehensive book on healthcare data standards, covering the practical implementation challenges and real-world experiences with OMOP, FHIR, and genomics data harmonization.

Drawing from years of hands-on experience building production systems with OMOP databases containing 10M+ patient records and leading federated learning implementations across multiple healthcare institutions, this book bridges the gap between specification documents and actual implementation.

Topics Covered

• OMOP Common Data Model: Implementation patterns and pitfalls
• FHIR: Practical integration strategies for real-world systems
• Genomics Data Harmonization: Standards and workflows
• Data Quality Frameworks: Building robust validation pipelines
• Multi-site Collaborations: Technical approaches to federated data
• Privacy-Preserving Analytics: Implementing secure computation
• ETL Best Practices: Lessons from production deployments
• Clinical Trial Data Standards: CDISC and beyond

Audience

This book is designed for data scientists, software engineers, and informaticists working in healthcare who need to implement standards-based systems. It assumes technical proficiency with Python and SQL, and focuses on the practical "how" rather than just the theoretical "what."

Status

Currently in progress. Interested in updates? Get in touch.