CRF Studio Turn Protocols into CRFs
Turn your protocol into a CRF.
Design, validation, and AI-assisted drafting in one workspace
1 What is CRF Studio?
Edit like Google Docs, structure with drag and drop, and connect 18 clinical templates, CDISC·CDASH support, AI-assisted CRF drafts, and DQC in one flow.
Who is it for?
Why was it created?
2 Problems with the Old Way — How CRF Studio Solves Them
Every CRF design required a developer → cost incurred.
Even minor text changes incurred additional costs.
Same process repeated every time the protocol changed.
Drag and drop to complete a CRF. Zero cost.
Undo and auto-save enable unlimited free edits.
Reuse with templates and section library.
| Old Way | CRF Studio | Benefit |
|---|---|---|
| CRF design = developer-dependent, high cost | Drag & drop to design directly | Less development dependency |
| Any text change = extra cost | Double-click → edit instantly | Lower repeat-edit costs |
| Rebuilt from scratch per trial | Reuse with templates & library | Shorter design cycles |
| Manual CDASH compliance check | 40+ standard variables built-in, auto-suggest | No standard omissions |
| Errors found only after data entry | Real-time detection at design stage | Errors prevented upfront |
| Days to weeks to complete a CRF | Basic CRF ready instantly | Speed revolution |
Reduce outsourcing and repeated handoffs so study teams can draft and review CRFs directly and move faster.
3 Core Features — Design & Editing
4 Smart Convenience Features
5 Export, Management & Validation
Real-Time Design Validation — 10 Types
⚡ 10 Real-Time Validations Before Saving
6 DQC — Data Quality Control
🔗 Validation Flow — Design → Entry → Verify → Save
| Step | Description | Method |
|---|---|---|
| ① Subject Entry Instant Validation | When subject data is entered, rules configured in CRF Studio (min/max values, units, required fields, conditions, date constraints) are applied in real time. Cells that violate criteria are highlighted with guidance messages. | Rule-Based |
| ② DQC Rule-Based 1st Pass | A first-pass validation using basic rules before AI analysis. Violations of design-stage rules trigger immediate warnings — reducing unnecessary AI calls and lowering costs. | Rule-Based |
| ③ DQC AI 2nd Pass | Only data that passes rule validation is further analyzed by AI from a medical perspective. Detects drug interactions, adverse event patterns, and medical outliers based on 15 medical reference sources. | AI Inference |
| ④ Severity Classification | Design rule violations are classified as Critical Error, and AI inference results as Reference Note. Filter by severity level for review. | Rule+AI Combined |
| ⑤ Server Double Validation | Validation rules are verified once more on the server to ensure data is stored safely. Data that violates criteria is blocked from saving, with an exception procedure allowing saves with a documented reason when unavoidable. | Server Validation |
| ⑥ Auto-Execute on Save | DQC runs automatically as soon as subject data is saved. A real-time notification appears with "🟡 N items to verify" — no need to run it separately. | Automated |
7 AI DQC — Continuous Enhancement Plan Roadmap
Beyond current rule+AI integrated validation — evolving into more sophisticated AI data verification
| Drug-Adverse Event Pattern Learning | Automatically learns drug-symptom association patterns from accumulated adverse event (AE) data. Early warnings are provided when similar patterns are detected in new data. |
| Automatic Protocol Deviation Detection | Detects deviations of actual data from visit and dosing schedules. Auto-alert: "Suspected missed Day 14 dose." |
| Cross-Study Comparative Analysis | Comparative data analysis across trials with similar protocols or the same drug class. Automated outlier and trend reports. |
Roadmap capabilities will be introduced in stages using approved de-identified data and within each institution's permitted scope.
8 AI-Powered CRF Draft Generation
🧠 AI-Powered CRF Design Support
Upload a protocol document and AI will automatically generate a CRF draft.
9 Comparison with Competing Tools
| Feature | REDCap | Castor | Medrio | CRF Studio |
|---|---|---|---|---|
| Full GUI Design | ✅ | ✅ | ✅ | ✅ |
| Up to 19 Design Elements | Partial | Partial | Partial | ✅ Complete |
| Inline Direct Edit (Double-Click) | ❌ | ❌ | ❌ | ✅ |
| Section Library & Duplication | Limited | Limited | Limited | ✅ Full Support |
| 3-Level Drag & Drop Editing | △ | ✅ | ✅ | ✅ |
| 10 Real-Time Validation Types | Limited | Limited | Limited | ✅ Instant Display |
| DQC (Rule + AI Integrated Validation) | ❌ | ❌ | ❌ | ✅ Proprietary |
| AI Natural Language CRF Draft Generation | ❌ | ❌ | ❌ | ✅ Available |
| 40+ Built-in CDASH Standards | Partial | ❌ | ❌ | ✅ |
| Version Control + Diff | Limited | ✅ | ✅ | ✅ |
| Excel/PDF Export | ✅ | ✅ | ✅ | ✅ CDASH Tags Included |
| Template Marketplace | Shared Library | ❌ | ❌ | ✅ |
| 18 CDISC Standard Templates | ❌ | ❌ | ❌ | ✅ |
| Mobile & Tablet Support | Partial | ✅ | ✅ | ✅ |
| Full Korean + Domestic Regulatory Compliance | ❌ | ❌ | ❌ | ✅ |
* Based on each product's official public materials as of August 2026. Feature scope may vary by plan, version, and deployment environment.
10 Built-in Clinical Templates — 18 Types
18 clinical templates based on CDISC standards are built in. Each template comes pre-configured with visit schedules, item structures, CDASH variable mappings, and range validation rules — ready to use or adapt with minimal edits.
"Need a CRF for a hypertension trial?" → Load Vital Signs (VS) + Concomitant Medications (CM) + Adverse Events (AE) + Laboratory (LB) templates and combine → Complete in 5 minutes.
Built Together
Capturing the voices from clinical trial sites —
"A tool to design CRFs yourself"
becomes one connected workflow in CRF Studio.
Now CRF design is with fewer development queues and handoffs,
study teams can design directly.
Design it yourself, validate in real time, and bring it into your trial faster.