Contained References vs External References: Cost and Safety
FHIR gives two ways to point one resource at another: contain it inside the parent, or reference it externally by…
Resolving FHIR References Without a Full Database Walk
Every non-trivial FHIR client eventually has to resolve references, and the naive resolver — one database read per reference —…
FHIR Search Performance Across 4 Servers: A First Look at the Numbers
FHIR search is where most production payer workloads actually live. Patient Access calls, panel queries, analytics extracts, and prior-auth bundle…
Top 6 FHIR Data Store Patterns for Reusable Compliance Investment
The FHIR data store is the architectural decision that determines whether CMS-0057-F compliance becomes a reusable platform investment or stays…
Top 6 Da Vinci IGs Every Health Plan Should Track in 2026
The Da Vinci IG portfolio is large. For health plans implementing CMS-0057-F, not all IGs matter equally. Six IGs deserve…
Top 6 AI/ML Training Data Patterns on FHIR for Payer Models
US health payers are increasingly building AI and ML models for member outreach prioritization, prior auth automation, fraud detection, and…
Top 5 Risk Adjustment Patterns Using FHIR Clinical Data
Risk adjustment is the financial mechanism that compensates Medicare Advantage and ACA marketplace payers for the clinical risk in their…
Top 5 PostgreSQL-Based FHIR Engines for 2026
PostgreSQL has become the default storage substrate for production FHIR platforms in 2026. The JSONB column type stores FHIR resources…
Top 5 Inferno Conformance Patterns for Da Vinci Implementations
Inferno is the conformance suite that CMS-0057-F uses to verify Da Vinci IG compliance. Implementations that pass Inferno meet a…
Top 5 FHIR-Native Platforms for Health Plans in 2026
A FHIR-native platform is one where FHIR is the canonical data model, not a translation layer over existing systems. For…