How do four of the most-discussed FHIR servers actually compare when they run on the same hardware, with the same data, under the same load? Health Samurai published an open benchmark on 2026-06-29 that does exactly that for Aidbox, HAPI…

Commercial terminology servers sit at the intersection of regulatory rigor and license-management. For pharma sponsors, the question is rarely about features in isolation; it is about how the server packages MedDRA, WHODrug, CDISC CT, and S

Ontoserver and Snowstorm are the two terminology servers most commonly evaluated head-to-head for clinical trial vocabularies. They share enough surface area (both implement FHIR terminology operations, both target SNOMED CT as a first-clas

WHODrug is the medication vocabulary that drives concomitant-medication coding and drug-drug interaction logic in most clinical research stacks. It is a licensed product with strict usage terms, and the terminology server you pick has to ha

CDISC Controlled Terminology and SDTM mapping sit at the seam between operational trial data and what regulators read at submission time. The vocabulary involved is large, the versioning is strict, and the mapping work is where a lot of pre

MedDRA is the central vocabulary for adverse-event and indication coding in clinical research, and the way a terminology server handles MedDRA decides how painful safety reporting gets. The challenge is twofold: the hierarchy is deep and $e

A FHIR terminology server in a clinical research stack does a job you do not notice when it is working, and one you notice loudly when it is not. Every coded answer on a form, every safety database entry, every SDTM-bound variable depends o

Epic's HL7v2 feeds are still the workhorse for getting clinical data out of a major health system in 2026, even with FHIR APIs available for the modern surface. ADT for admit-discharge-transfer, ORM for orders, ORU for results, plus the…