Eating disorder clinic intake sits between medical and psychiatric care in a way that most generic form engines do not handle well. The instruments are specific (EDE-Q, SCOFF, EAT-26), the vitals matter (weight, height, BMI captured longitudinally), and the safety branching is non-trivial when a screening threshold crosses into a medical-instability range. An SDC form engine that fits this work has to do all of the form layer plus enough clinical-data plumbing to keep the eventual chart usable.
This is the five engines that come up most in eating disorder programs in 2026. For FHIR fundamentals for outpatient teams the broader catalog covers the rest.
If you are working back from the architecture, the complete guide to FHIR Questionnaire engines in 2026 gives you the framing.
What the Brief Looks Like for Eating Disorder Intake
A useful SDC form engine for this setting has to do four things together:
- Render EDE-Q, SCOFF, and EAT-26 cleanly, including subscale scoring as calculated expressions.
- Capture vitals (weight, height, BMI) as discrete Observations, not as free-text answers.
- Branch into a medical-instability follow-up when a vital sign crosses a clinical threshold.
- Extract everything into a QuestionnaireResponse plus linked Observations the EHR can ingest.
Engines that cover only the rendering part end up forcing the clinical team to re-key data into the chart, which defeats the point.
The 5 SDC Form Engines
The list below is ordered by how often it shows up in eating disorder program conversations.
- LHC-Forms. Open-source SDC renderer from the NLM, with established subscale-scoring examples and a long track record in clinical research that includes eating disorder cohorts.
- Formbox. A standalone FHIR SDC builder with strong calculated-expression handling, useful for the BMI calculation and EDE-Q subscale totals.
- Aidbox FHIR Forms. A commercial product layered on the Aidbox FHIR server, convenient when the program wants one vendor across form and store.
- Beda EMR Forms. A production SDC layer that holds up for branching into medical-instability modules.
- Open Health Hub Forms. A patient-facing FHIR SDC renderer used in PRO programs, useful when the program runs ongoing EDE-Q tracking through a patient portal.
What Tips the Choice in This Vertical
Three things end up mattering more than feature checklists:
- BMI as a calculated expression. The engine should compute BMI inside the QuestionnaireResponse so the chart and the form agree.
- Longitudinal capture. Programs running multi-week protocols benefit from engines that can pre-populate previous answers via initialExpression.
- Pediatric and adult overlap. Some EDE-Q variants and most growth-chart references are age-specific; the engine should accept the relevant Questionnaire variants without custom hacks.
For neighboring intake briefs (PHQ-9, GAD-7, the rest of the standard behavioral health bank) the Top 6 SDC form builders for behavioral health clinics in 2026 is the natural follow-up. For private-practice settings specifically, the best FHIR form builders for psychology private practices in 2026 covers the smaller-clinic angle.
How to Pilot Cleanly
Pick one clinic, one cohort, one month. Render EDE-Q with its subscales, capture height and weight as discrete Observations, branch into a medical-instability follow-up, and extract a QuestionnaireResponse plus the linked Observations into your FHIR store. The engines that get that on the first try are the ones worth a procurement conversation.
Sources
- SDC Form Data Extraction chapter - HL7 spec, HL7 International, 2025
- US Core Questionnaire PHQ-9 example v9.0.0-ballot - HL7 IG example, HL7 US Realm, 2025
- LHC-Forms LHNCBC project overview - Project page, NIH NLM LHNCBC, 2025