H1ST-AI-DBD-001 · Task 1.6
Your subjective endpoints deserve better than a text box
When a subjective endpoint is captured through a plain input, you feel it in the data quality and in the participant's experience. The Smart eCRF Components Agent adds intelligent components — VAS, NRS, and Likert sliders for pain, quality-of-life, and other subjective assessments — detected from the protocol, WCAG 2.1 AA accessible, and mapped straight to SDTM, so what participants report is easy to give and clean to analyze.
The grind you know
You ask participants to rate their pain on a plain number field, and you already know how that goes — mistyped values, a clumsy experience on a phone or tablet, and questionable data for a subjective endpoint you actually care about. Building the accessible, validated sliders those assessments deserve, and wiring each one to SDTM, is fiddly manual work most builds skip.
Part of the Database & Forms Design family
Protocol to CRF, ICF, SDTM & coding.
When a subjective endpoint is captured through a plain input, you feel it in the data quality and in the participant's experience. The Smart eCRF Components Agent adds intelligent components — VAS, NRS, and Likert sliders for pain, quality-of-life, and other subjective assessments — detected from the protocol, WCAG 2.1 AA accessible, and mapped straight to SDTM, so what participants report is easy to give and clean to analyze.
The agent finds subjective assessments in the protocol that suit slider components.
Accessible VAS/NRS/Likert components are inserted with validation rules.
Data maps to SDTM and feeds distribution analytics for the study team.
Capabilities
10+ component types for common clinical assessments — Visual Analog Scales, Numeric Rating Scales, and Likert scales.
Detects slider-appropriate parameters directly from protocol text and inserts them into the form via dynamic template modification.
Components meet WCAG 2.1 AA and are optimized for tablet and phone data capture on iOS and Android.
Component data maps to the correct SDTM variables with validation rules, and feeds a distribution-pattern analytics view.
Proof
Figures shown are pre-launch targets based on internal benchmarks, not guaranteed outcomes.
Gemini / Anthropic LLM
LLM
Turns a protocol into CDASH-compliant eCRFs with edit checks and validation rules.
Learn moreEdit CRFs, validations, and ICFs with natural-language instructions — like ChatGPT for study build.
Learn moreAuto-generates SDTM annotations and the annotated CRF, Pinnacle 21-clean.
Learn morePeace of mind
Every output is generated inside a validated, audit-ready platform, kept under human-in-the-loop control, and mapped to the regulatory and CDISC standards this agent supports.
Walk through it on your own workflow with a clinical-trials expert — no pressure, no obligation, and honest answers, including on the limits.
