ARCLIUM

ClinDRA™ · Clinical Data Review Assistant

Go from scattered data
to focused clinical review.

Connect study sources, run defined review logic, and investigate the details behind each signal.

  • Review study status and areas needing attention.
  • Connect adverse events, labs, queries, and subject context.
  • Configure checks and outputs for your protocol and team.
Request a ClinDRA walkthrough

Deterministic-first. AI is completely optional.

ClinDRA · Executive ReviewExpand ↗
ClinDRA · Executive Review — actual application displaying synthetic study information
Current hosted demo: executive measures across seven synthetic studies.

Inside the product

Start with the study.
Follow the question to the subject.

01 / ORIENT

See the review context.

Select a study scope and population. Review status, safety measures, and operational attention in the same workspace.

Executive ReviewExpand ↗
Executive Review — actual application displaying synthetic study information
Synthetic example · Counts describe this demo package, not customer outcomes.
02 / INVESTIGATE

Bring a subject’s information together.

  • Review subject-level flags and clinical context.
  • Move among safety, labs, vitals, queries, and medications.
  • Keep reviewer comments connected to the subject.
Patient ProfilesExpand ↗
Patient Profiles — actual application displaying synthetic study information
Hosted Patient Profiles screen · Fictional participant Asthma-101-028.
03 / INVESTIGATE TRENDS

Follow laboratory results over time.

Explore observed laboratory trajectories for participants with alerts. Review normal and flagged results together, with treatment and study-end context.

Laboratory Review · Alert trajectoriesExpand ↗
Laboratory Review · Alert trajectories — actual application displaying synthetic study information
Hosted demo · Synthetic AST trajectories for Asthma-101. Timing and markers provide context, not causality.

Your study determines the configuration

Defined logic.
Useful outputs.
Optional AI.

  • Harmonize sources into versioned review data.
  • Implement study-specific checks and programs.
  • Develop patient profiles, visualizations, and review outputs.
  • Define permitted inputs and human review before enabling AI.

Demo screens illustrate selected capabilities. Source coverage, deployment, validation, and review responsibilities are scoped for each implementation.

Start with your study

Show us where review
gets difficult.

Let’s discuss the expertise, review tools, or ongoing support your team needs.

Discuss your study
Product view

Synthetic demonstration. Select Close or press Escape to return.