Clinical-trial data capture in 2026 lives at the awkward seam between FHIR and CDISC. Sponsors and CROs want to pull data from EHRs through FHIR APIs, capture trial-specific assessments through electronic case report forms, and then deliver the assembled package in the CDISC formats the FDA expects. The SDC implementation guide is one of the cleaner bridges across that seam, and the form builders that support it well are the ones US sponsors quietly converge on.
Here are five SDC form builders worth a serious look for clinical-trial work, with notes on where each one earns its place. The complete guide to SDC form builders for US healthcare in 2026 sets the broader picture, and EHR integration explainers covers how these tie back into the source systems.
LHC-Forms: The NIH Workhorse
If a clinical trial in the US has been touched by NIH funding in the last five years, odds are good its eCRF stack includes LHC-Forms somewhere. The renderer is open source, free to use, supports full SDC, and integrates with terminology services for LOINC and SNOMED CT lookups. The trial-specific value is that the JSON Questionnaire authored once can be reused across the site portal, the patient app, and the FHIR-to-CDISC export pipeline without a separate authoring step.
The fit is best for sponsors that are comfortable assembling their own data pipeline around the renderer.
AEHRC SDC Form Builder
The Australian e-Health Research Centre maintains an open-source SDC form builder that has quietly become the reference implementation for many of the SDC spec corners. For US trial work, the value is in how thoroughly it handles complex enableWhen logic and calculatedExpression chains, which trial protocols love and intake forms rarely need. Sponsors running adaptive-design trials in the US often find the AEHRC tool the closest match for the conditional branching patterns the protocol demands.
Medplum: The Modern Platform Path
Medplum bundles a FHIR server, identity, and a form-builder UI into a single developer-first stack. For a sponsor or biotech that wants to launch a trial portal in weeks rather than quarters, Medplum is one of the faster paths from spec to running site. The trial-specific consideration is that Medplum's broader platform takes care of the auth and audit pieces 21 CFR Part 11 deployments need to think about. The trade-off is more lock-in to the Medplum ecosystem.
Smile Digital Health: The CRO-Scale Choice
Smile Digital Health is the most common pick when a sponsor brings in a large CRO that already standardizes on a HAPI-based commercial FHIR stack. SDC support is solid, the platform has been audited against several international privacy regimes, and the support contract is the kind procurement teams at a top-twenty US sponsor expect to see. Pricing matches the audience. For multi-country trials with US sites, Smile clears most of the procurement bars without further conversation.
Formbox: A Lighter-Weight Commercial Option
Formbox is a more recent FHIR-native form builder that has shown up in evaluations alongside LHC-Forms and Medplum for sponsors that want a turnkey UI without the heaviness of a full CRO platform. For phase II / III studies running across a handful of US academic medical centers, Formbox tends to land in the shortlist when sponsors want managed terminology lookups and a more polished authoring interface than the open-source options give. As always with newer commercial entrants, the reference-customer conversation is where the picture clears up.
How These Five Compare
The narrow question for trial use is whether the tool handles SDC well enough to express the protocol logic and whether the export path to CDISC is real. LHC-Forms and AEHRC are the strongest on SDC depth. Medplum and Formbox give a faster runway. Smile is the enterprise default. None of them is the obvious right answer in every context, and the Top 7 FHIR form builders for US EHR development in 2026 covers the broader EHR-leaning set if the trial-specific lens is the wrong fit. The honest filter is whether the existing trial operations team will accept the workflow the tool imposes.
Sources
- Use of FHIR in Clinical Research: From EHR to Analysis - HTML article, CDISC, 2024
- HL7 FHIR as eSource to pre-populate CDASH CRFs - HTML article, CDISC, 2024
- Developing FHIR-based Activity Libraries to Support Clinical Trial Direct Data Capture - HTML peer-reviewed, JSCDM, 2024