Geriatric wellness assessments include the Comprehensive Geriatric Assessment battery, fall risk instruments like STRATIFY and STEADI, activities of daily living scales, and cognitive screens including the MoCA and Mini-Cog. The forms have to render at large type sizes by default, support partner-and-caregiver completion, and produce QuestionnaireResponses that feed care plan personalization. The six form engines below cover most 2026 geriatric wellness procurement shortlists.
For the broader catalog, see additional MPI and patient-matching notes and the parent FHIR form builders buyer's guide for wellness intake.
The 6 Engines Worth Knowing
- Aidbox Forms. The commercial pick when the geriatric platform runs on Aidbox. Strong SDC support including caregiver-as-respondent handling, and the renderer ships with accessible defaults including high-contrast and large-type modes.
- Formbox. The commercial-only form engine, common in mid-market geriatric care networks. SDC conformance is solid and the renderer supports the accessibility requirements that older patient populations expect.
- LHC Forms. The open-source reference renderer with strong SDC conformance. Common in academic geriatric medicine programs that prioritize standards compliance.
- Medplum's Questionnaire renderer. The fit when the geriatric care platform is built on Medplum. Tight FHIR integration simplifies QuestionnaireResponse extraction for cognitive and functional assessment instruments.
- MetaForms. The open-source alternative for groups that need more layout control. Adopted in geriatric care networks with custom frontend tooling.
- NLM Form Builder. Useful as a companion authoring tool for SDC Questionnaires, often paired with LHC Forms at the rendering layer.
What the Geriatric Wellness Workload Demands
Three patterns drive most of the form-engine selection arguments:
- Standardized cognitive and functional instruments with built-in scoring for MoCA, Mini-Cog, Katz ADL, Lawton IADL, and Tinetti Mobility
- Caregiver-as-respondent flows where the patient and the family caregiver each complete linked questionnaires
- Accessibility defaults including high-contrast rendering, large-type rendering, and screen-reader-friendly markup
A few operational notes worth flagging during evaluation:
- The renderer should default to accessible settings rather than requiring per-patient opt-in
- QuestionnaireResponse storage should preserve respondent identity when caregiver and patient both complete parts of the same assessment
- Form versioning should be supported so historical responses can be re-rendered against the assessment version in force at the time
How the Decision Usually Goes
Single-clinic geriatric medicine practices tend to pick LHC Forms or Medplum depending on whether the team values standards compliance or developer ergonomics. Mid-market geriatric care networks running 5 to 50 sites gravitate toward Aidbox Forms or Formbox depending on the surrounding FHIR stack. Academic geriatric programs embedded in larger health systems often inherit whatever the parent system uses.
Worth noting: cognitive screening instruments have copyright and licensing constraints that vary by instrument. MoCA in particular has a paid certification requirement for clinicians administering it, which does not change based on the form engine. Geriatric programs planning cognitive screening should resolve those licenses independently of the form engine evaluation.
For an adjacent intake pattern with similar accessibility requirements and longer-form assessment patterns, the Best SDC Form Builders for Chiropractic Patient Intake writeup covers parallel ground.
Sources
- LHC-Forms Form-Rendering Widget - HTML, NIH NLM LHNCBC, evergreen
- Structured Data Capture documentation - HTML, CSIRO Smart Forms, evergreen
- SDC Extract / Pre-populate - PDF slides, DevDays, 2023
