7 FHIR Vendors That Ship Real Product in 2026

FHIR vendor consolidation in 2026 identified seven vendors that ship real product across the FHIR ecosystem. Understanding their specific strengths helps buying. **1. HAPI FHIR (open source Java).** Mature, widely deployed, requires operational skill. Best for Java-heavy teams and budget-conscious deployments. **2. Aidbox (commercial Clojure).** Full-stack platform (server + terminology + auth + forms). Best […]

HL7 FHIR Server Requirements: What You Need Before Buying

Selecting an HL7 FHIR server requires answering specific questions upfront. Getting these right prevents 6-12 months of downstream rework. Question 1: What FHIR version and profiles? R4 with US Core baseline for US deployments. R4B for Subscription-Topic support. R5 for niche cases. Match US Core version explicitly. Question 2: What write throughput? Sustained POST/s at […]

FHIR Server Value: What Investment Actually Delivers

FHIR server investment delivers specific value; understanding the ROI drivers shapes the business case. Value 1: Ecosystem integration. SMART on FHIR ecosystem access. Third-party apps consume the FHIR API without custom integration per vendor. Value 2: Regulatory compliance. US Core, CMS-0057, ONC certification. FHIR server foundation reduces compliance work per regulation. Value 3: Bulk data […]

FHIR Implementation Playbook: 7 Steps From Planning to Production

FHIR implementation follows a repeatable playbook. Seven steps cover essentially every production deployment. Step 1: Scope and stakeholder alignment. Define what FHIR APIs, which profiles, which regulatory targets, which timeline. Executive sponsor and dedicated team. Step 2: Server and infrastructure selection. Pick FHIR server, terminology server, auth server based on requirements. See vendor comparison. Step […]

FHIR Schema in Practice: How Real Systems Structure Data

FHIR schema — resource structure with extensions and profiles — has real-world patterns worth understanding. Six that show up in production. Pattern 1: Profile-driven data model. Every resource conforms to a specific profile. US Core baseline; specialty profiles for specific use cases. Pattern 2: Extension for site-specific data. Custom fields via Extension. Each extension has […]