A quick guide to RTC Workspace
The workflow is intentionally simple: build a study setup, use it in list generation or participant screening, and review everything later in History.
Define arms, ratios, block size, and participant count.
Generate a list or randomize one participant.
Reopen past results and reuse the best saved setups.
Create or load a study setup
Open Study Setup to start a new configuration, or load a saved trial if your team already built one.
Define the allocation
Add your study arms, set the ratio for each arm, choose block size, participant count, prefix, and an optional random seed.
Choose the right workflow
Use Study Setup when you need a full allocation list. Use Screen & Randomize when enrolling one participant.
Review the result
Each result screen shows the generated outcome clearly and lets you save a useful setup for future work.
Check History
Open History to review past list generations and participant randomizations, reopen result views, or save setups from past records.
When to use Study Setup
Best for planning and preparing the structure of a trial.
Example: Control, Standard Care, Intervention A.
Use equal or unequal ratios depending on the study design.
This is useful when your team needs a full allocation schedule or exportable randomization list.
Once a result is correct, save the setup so the same study can be loaded later.
When to use Screen & Randomize
Best for handling one participant at a time during enrollment.
Add the participant ID, site, and any extra notes your team wants to keep with the result.
Choose the right status so ineligible or pending participants are not treated like finalized randomizations.
This keeps the participant workflow consistent with the study design created earlier.
The result page confirms the participant outcome and then sends a clean record into History.
Saved setups and History
How the workspace keeps your project organized.
Saved setups store the reusable trial structure, including arm names, ratios, block size, participant count, and optional seed.
History stores both list generations and single randomizations, so the team can revisit what happened without recreating it.
Each history row can reopen the actual result screen, which is useful for checking older work quickly.
Frequently asked questions
Simple answers for first-time users.
Study Setup builds a full study configuration and can generate a list. Screen & Randomize handles one participant at a time.
Block size controls how assignments are balanced in groups during list generation. It should match the ratio structure of your study arms.
Open Workspace → History to filter, review, and reopen past list generations or participant randomizations.
Save the setup from a result screen or from History, then load it again from Saved setups or directly in the workflow pages.