Mithras Health

Standards & interoperability · 8 field notes

Standards & interoperability

FHIR, OMOP, SNOMED, LOINC — the standards that decide whether health data can move, merge, and answer research questions. These pieces decode the alphabet soup for people who need to make decisions about it, not implement it.

FIG. J0 · the journal, mappedsection 3 of 7
RIGHTS · 08 PRIVACY · 08 STANDARDS · 08 REGULATION · 08 RESEARCH · 08 CONDITIONS · 06 PRINCIPLES · 04

8 of 50 field notes · Standards & interoperability · plain language

The journal holds 50 field notes across 7 sections: Patient rights (8), Privacy & de-identification (8), Standards & interoperability (8), Regulation worldwide (8), Research methods (8), Chronic conditions (6), Principles (4). You are viewing the Standards & interoperability section.

№ 05 Standards & interoperability

SMART on FHIR: the app-store model for health records

SMART on FHIR apps explained: how OAuth2 and FHIR scopes let health apps plug into any EHR, and why scoped access matters for research consent.

June 8, 2026 · 5 min read
№ 12 Standards & interoperability

What is the OMOP Common Data Model — and why researchers love it

What the OMOP Common Data Model is, how OHDSI's standard tables and vocabularies work, and why one analysis can run unchanged across hospitals worldwide.

June 3, 2026 · 5 min read
№ 17 Standards & interoperability

SNOMED, LOINC, ICD-10, RxNorm: the vocabularies of medicine, decoded

SNOMED vs LOINC vs ICD-10 vs RxNorm: what each medical vocabulary covers, why one concept has five codes, and how mapping makes research possible.

May 30, 2026 · 5 min read
№ 22 Standards & interoperability

FHIR R4 and US Core, explained for non-engineers

FHIR R4 and US Core profiles explained for non-engineers: what a base standard leaves open, how an implementation guide pins it down, why versions matter.

May 26, 2026 · 5 min read
№ 27 Standards & interoperability

Computable phenotypes: how researchers find patients in messy data

What a computable phenotype is, how a phenotype algorithm finds patients in messy EHR data, and why versioned, testable definitions beat ad-hoc queries.

May 22, 2026 · 5 min read
№ 31 Standards & interoperability

What is FHIR? The standard quietly rewiring healthcare

What the FHIR standard is, where it came from, and why a 2011 idea built on plain web APIs now sits underneath nearly every patient portal in America.

May 18, 2026 · 5 min read
№ 37 Standards & interoperability

EHR interoperability: TEFCA, information blocking, and what actually works

Where EHR interoperability really stands: TEFCA and the QHINs, information blocking penalties, USCDI versions, and what still lags for patients and research.

May 14, 2026 · 5 min read
№ 48 Standards & interoperability

FHIR vs. OMOP: two data models, two jobs, one pipeline

FHIR vs. OMOP CDM: what each data model is built for, why the difference matters, and how a FHIR-to-OMOP pipeline delivers both exchange and analytics.

May 6, 2026 · 5 min read