AWS FHIR Data Accelerator for Life Sciences AI

Life sciences organizations face persistent barriers in making their health data AI-ready. Fragmented systems—EHRs, clinical trial platforms, and imaging repositories—create silos that block real-time insights and delay high-value AI use cases. Modus Create’s FHIR-Native Data Foundation Accelerator solves this by delivering a production-aligned, pre-architected solution built on AWS HealthLake and Amazon Bedrock.

This accelerator shortens the time to value for life sciences teams seeking to modernize their data infrastructure. It includes a working pipeline for integrating structured and unstructured data from EHR and clinical trial systems into a FHIR-compliant architecture, ready for expansion into real-world use cases. Data exchange is secured through automated APIs, and compliance with HIPAA, GDPR, and FDA 21 CFR Part 11 is baked into the design.

Delivered over a focused engagement, the outcome is a validated, scalable foundation for generative AI applications in life sciences—complete with a Next Steps Roadmap to expand into disease modeling, trial optimization, or AI-enhanced patient engagement. Ideal for digital innovation teams looking to leapfrog infrastructure hurdles and drive measurable outcomes with AWS.

What's Included • FHIR & HL7 Data Integration – AWS HealthLake-based data normalization for EHR & clinical trials. • Automated API-Based Data Exchange – Secure sharing of structured patient records. • Regulatory Alignment Report – Ensures HIPAA, GDPR, and FDA 21 CFR Part 11 compliance. • Next Steps Roadmap – Plan for scaling AWS-powered interoperability solutions.