Storage Footprint of 4 FHIR Servers After Loading the Same Dataset
Storage size is the metric that quietly shapes hosting cost, backup windows, and disaster-recovery RTO over the life of a FHIR platform. A new public benchmark from Health Samurai loaded the same Synthea dataset (1,000 patients, around 2…
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Force Therapeutics vs a Native FHIR PROMs Stack: Which Fits Value-Based Care
Value-based care programs for joint replacement, oncology, and cardiac episodes all share the same PROMs problem. The clinician needs a validated instrument at the right point in the episode. The payer needs the extracted result to reach…
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Cerner vs Meditech HL7v2 Feeds: Which Is Easier to Convert to FHIR?
Payer and provider integration teams comparing Cerner Millennium and Meditech HL7v2 feeds usually start from the same assumption: a feed is a feed, and the work to map ADT^A01 or ORU^R01 into FHIR is the same on both sides. In practice…
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Terminology Server Value: What It Actually Delivers
Terminology servers seem like infrastructure most teams could skip. In practice they deliver measurable value that shapes data quality significantly. Value 1: $validate-code on write. Every coded field validated at write time. Prevents bad codes from landing in the FHIR store. Sites without this see 5-15% terminology drift within 12 months. Value 2: $expand for […]
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FHIR Format Handling: NDJSON, JSON, XML — When Each Applies
FHIR resources are serialized in multiple formats. Understanding when each applies avoids format confusion. JSON (default) Standard REST responses; individual resource GET/POST/PUT. Content-Type: application/fhir+json. Best for point-of-care, single-resource operations. NDJSON Bulk data streaming. Content-Type: application/fhir+ndjson. Each line is one resource. Best for Bulk Data `$export`, warehouse ingestion. XML Legacy option, application/fhir+xml. Best for HL7v2-to-FHIR converters […]
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EMR Development in 2026: What Changes vs. What Stays
EMR development has changed materially since FHIR became mandatory but many fundamentals stay constant. Understanding both dimensions shapes 2026 development planning. What changed (FHIR-driven) 1. Integration surface = FHIR REST. Custom APIs are legacy; FHIR REST is the ecosystem. 2. Auth = SMART. SMART on FHIR is universal. 3. Analytics = bulk data. Bulk Data […]
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FHIR Schema: Practical Notes on the Resource Structure
The FHIR schema — the underlying structure of resources — is well-documented but has practical patterns worth internalizing. Understanding schema mechanics prevents integration surprises. Resource anatomy Every resource has: 1. resourceType — the resource name. 2. id — server-assigned identifier. 3. meta — versionId, lastUpdated, profile references, tags, security labels. 4. extension[] — custom fields. […]
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