Multi-clinic networks face an intake problem that single clinics do not: the same patient should not refill the same data when they walk into a different clinic in the same network. A FHIR-native intake tool can deliver that by reading and writing patient data into a shared FHIR store, with the form layer aware of what was already captured elsewhere. The intake tools below handle the multi-clinic case well enough to ship in 2026. For broader background, see more on healthcare integration patterns.
The FHIR SDC form builders reference guide covers the architectural picture; this list narrows it to the multi-clinic scenario.
The Tools to Evaluate
- Aidbox FHIR Forms. The form layer of the Aidbox FHIR stack, with multi-tenant FHIR storage that supports shared patient data across clinics in the same network.
- Formbox with shared FHIR backend. The Health Samurai standalone form builder paired with a shared FHIR server, used when the network wants the form tool decoupled from the FHIR store choice.
- Medplum. The platform-as-a-service for FHIR-first healthcare, with multi-organization data isolation that fits multi-clinic networks with shared patients.
- Beda EMR Forms with cross-clinic FHIR sync. The Beda form layer with explicit cross-clinic synchronization patterns, used by Beda-based networks.
- LHC-Forms with custom prefill logic. The open-source NLM renderer wrapped in a network-specific prefill layer that reads from the shared FHIR store before rendering.
What Multi-Clinic Networks Need Specifically
Three behaviors decide whether a tool fits the multi-clinic case.
The first is patient-data prefill from a shared FHIR store. The intake form has to render with the patient's existing demographics, allergies, medications, and visit history already populated. Networks that skip this step force the patient to refill the same data at every clinic, which is the problem the multi-clinic FHIR architecture was supposed to solve. The second is tenant isolation that respects the shared layer. Clinical data inside a clinic stays inside the clinic; patient demographics shared across the network are visible across. A form tool that handles this isolation cleanly is the form tool the network actually wants. The third is conflict resolution on simultaneous updates. Two clinics can see the same patient in the same week; the form tool has to handle the version-vector question without losing answers.
The top intake form builders for FHIR-first clinics walkthrough covers the single-clinic case where this conflict question does not arise.
How Networks Should Pick
Selection turns on the network's existing FHIR stack and the appetite for a fully managed solution. A network running on Aidbox usually picks Aidbox FHIR Forms for the integrated multi-tenant story. A network running on Medplum picks the native Medplum intake stack. A network with a mixed FHIR backend usually pairs Formbox with whichever FHIR server the network is consolidating on, accepting the slightly higher integration overhead for the freedom to swap form layers later.
For the telehealth side of multi-clinic intake, where the form has to also handle remote visits, the top FHIR Questionnaire engines for telehealth walkthrough covers the patterns that scale across in-person and virtual modalities. A defensible choice here is the one that ages well: the engine the team still wants to be running three years from now, not the one that wins the procurement spreadsheet. Teams that get this right twice in a row tend to stop noticing the layer at all, which is exactly the goal.
Sources
- SDC Introduction - IG, HL7, 2024
- LHC-Forms project - Project page, NLM LHNCBC, 2024
- SDC Examples - IG, HL7, 2024

