Clinical Analytics
Turn Fragmented Clinical Data Into Faster, More Confident Decisions
Bring together purpose-built clinical review, flexible visual analytics, and clinical expertise to improve data review, medical monitoring, study oversight, and safety analysis.
Built for data management, medical and safety teams, clinical operations, sponsors, CROs, and clinical analytics leaders.
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How Greywolf Strengthened Clinical Trial Oversight
Clinical Teams Need More Than Fixed Dashboards
Clinical development brings together data from EDC, labs, safety systems, vendors, and operational sources. But every team—and every study—needs to answer different questions.
Data Management Identify data-quality issues, accelerate review, and reduce dependence on programming queues.
Medical & Safety Move quickly from population-level patterns to the patient-level context needed to investigate what matters.
Clinical Operations & Sponsors Gain clearer visibility into study execution, partners, risk indicators, and follow-up.
Clinical Analytics Teams Explore the study-, therapeutic-area-, and portfolio-specific questions that predefined dashboards can’t anticipate.
Connected clinical analytics combines repeatable workflows with the flexibility to answer what’s unique to every study.
One Clinical Analytics Foundation. Multiple Critical Workflows.
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Signals Clinical FAQs
Signals Clinical is an AI-augmented clinical data review platform that unifies listings, query management, medical monitoring, and oversight into one solution - powered by Spotfire® for real-time visual insights.
Unlike tools that rely on static listings or manual exports, Signals Clinical provides live, visual insights, AI-assisted issue detection, centralized review, and a complete audit trail. It reduces reliance on programming queues and accelerates decisions across studies.
Yes. Signals Clinical enables traceable, human-in-the-loop review workflows, centralized documentation, and clear audit trails, supporting sponsor oversight expectations under ICH E6(R3), ALCOA+, and internal QA review processes.
No. Signals Clinical provides analysis-ready data, prebuilt visualizations, and guided workflows so clinical teams can review data without waiting in programming queues. Programmers can still contribute, but reviewers don’t rely on them to start analysis.
Signals Clinical uses AI-augmented (not generative) models to surface anomalies, detect trends, and prioritize review areas, while keeping the reviewer fully in control. It provides explainable insights and avoids hallucinations.
Absolutely. Signals Clinical supports shared review, role-based access, issue management, and cross-functional dashboards, enabling data managers, medical monitors, CRAs, and QA teams to work from one system rather than fragmented tools.
Yes. Signals Clinical is the only clinical review platform with built-in Spotfire® analytics, enabling instant visualizations and powerful exploratory analysis without external dashboards.
The platform supports labs, vitals, AEs, concomitant meds, queries, protocol deviations, custom listings, SDTM/ADaM structures, and any additional structured datasets that support clinical review workflows.
Most customers begin reviewing live study data in days to weeks, not months. Prebuilt listing templates, out-of-the-box dashboards, and guided workflows accelerate onboarding.
Yes. Signals Clinical supports shared oversight, standardized workflows, and transparent collaboration. CROs can use the platform directly or provide sponsor access for full visibility.
Every action (comments, queries, issue transitions, data changes, and reviews) is automatically logged, creating a complete audit trail that supports inspections and internal QA.
You can start with a free trial, explore a live demo, or speak with an expert to map Signals Clinical to your workflow needs.
Clinical Analytics supports data management, medical and safety, clinical operations, pharmacovigilance, sponsor, and CRO teams across biotech and biopharma organizations.
The solution supports clinical data review, medical monitoring, study oversight, safety analytics, portfolio analysis, and emerging questions that require flexible clinical exploration.
AI-assisted workflows should keep reviewers in control, make outputs inspectable, preserve traceability, and support reproducible review rather than replace clinical judgment.
Services can help connect data, configure analytics, operationalize workflows, and adapt the environment as studies, therapeutic areas, and business requirements evolve.
Ready to Strengthen Your Clinical Analytics Strategy?
Talk to a Clinical Analytics Expert
Discuss your data, workflows, teams, and emerging analytics needs across review, medical, operations, and safety.
Explore the Clinical Analytics Solution
See how purpose-built workflows, flexible Spotfire® analytics, and clinical expertise work together across clinical development.
See Signals Clinical in Action
Go deeper on the purpose-built product for clinical data review, AI-assisted workflows, collaboration, and traceability.