Patient intake in a US clinic in 2026 has stopped being a clipboard problem. The forms move to the patient portal or the kiosk in the waiting room, and the answers are expected to land in the EHR as structured FHIR data, not as a scanned PDF attachment. FHIR Questionnaire is the spec that makes that pipe possible, and a handful of tools have grown up to make it practical.
Below are six FHIR Questionnaire tools that show up most often in US patient-intake projects, with notes on the patient-facing strengths and weaknesses of each. The complete guide to SDC form builders for US healthcare in 2026 is a useful primer, and the digital health resource library holds the rest of the related coverage.
LHC-Forms for Patient Portals
LHC-Forms is a strong default for patient-facing intake. It is open source, free, and renders FHIR Questionnaire in any modern browser, including iPad and phone. Federal qualified health centers use it for screening forms, and many academic medical centers wire it into MyChart-style portals. The strengths are accessibility, font scaling, and a maintained codebase. The weakness is a fairly utilitarian visual style; teams that want a more polished design layer the LHC widget under their own UI shell.
Medplum Intake Components
Medplum has invested in patient-intake-specific React components on top of its FHIR-native platform. For a startup or a digital-health team launching a portal from scratch, the bundled auth, the FHIR server, and the form library together cut weeks off the build. The fit is best when the surrounding stack is also Medplum; the components are looser when bolted onto a separate FHIR server.
Smile Digital Health Patient Forms
Smile Digital Health has a patient-facing module that wraps the HAPI-derived FHIR server with a managed authoring environment and a SMART-on-FHIR launch path. For US health systems that already use Smile on the back end, adding the patient-intake module is a straightforward extension rather than a parallel procurement.
Firely Intake Bundles
Firely is heavier on the validation side than the rendering side, which suits patient-intake flows that need to reject malformed QuestionnaireResponse at the boundary. The patient-facing renderer is workable, and the value comes from the strict server-side checking that catches errors before they pollute the EHR. Health systems that prioritize data quality over time-to-render lean this way.
Formbox Patient Intake
Formbox is a more recent commercial FHIR-native form builder that has shown up in patient-intake shortlists alongside LHC-Forms and Medplum. The product targets US health systems that want the polished UX of a commercial tool, USCDI-aligned extraction, and a managed terminology layer behind the dropdowns. For a clinic that does not want to maintain the rendering stack itself, Formbox is a reasonable pick to evaluate alongside the established options.
HAPI FHIR With a Custom Patient Renderer
Plenty of US ambulatory groups end up rolling their own intake UI on top of HAPI FHIR. The cost is the engineering hours; the benefit is a UI tuned exactly to the clinic's brand and workflow. Where the homegrown path tends to break down is in the FHIR Questionnaire spec corners - enableWhen with nested conditions, calculatedExpression with terminology dependencies, repeating groups - that the dedicated tools have already debugged. Teams that go this route should budget for those rough edges from day one.
Which One Fits a Typical US Clinic
The honest filter is whether the clinic owns the intake UX as a strategic surface or whether intake is a means to an end. For a clinic that just wants intake to work, LHC-Forms or one of the commercial options gets there fastest. For a digital-health product that treats intake as part of the brand, Medplum or a HAPI-plus-custom build pays off in flexibility. The best medical form builders for ambulatory care in 2026 gets more concrete about the ambulatory-specific fit. The right answer turns on the size of the IT team and how much of the patient-facing experience the clinic considers core to the business.
Sources
- Questionnaires by Example - PDF slides, DevDays 2022, Brian Postlethwaite
- Questionnaire resource specification - HTML spec, HL7 FHIR R5, evergreen
- SDC Advanced Rendering Questionnaire structure - HTML spec, HL7, evergreen