Clinical Medical Monitoring
Your Priority is Patient Safety – Not Chasing Disconnected Data
A next-generation medical review experience designed by clinicians, for clinicians — powered by AI for proactive, real-time monitoring
Intelligent Patient Profiles
- Assess longitudinal safety and efficacy using dynamic, stacked graphs that compare parameters over time
- Instantly toggle between subject-level summaries and visual data layers to uncover correlations across domains
- Detect changes from your last review with automated version tracking to minimize rework
- Document medical review actions and comments in context — without switching screens
- Surface emerging safety signals through AI-powered anomaly detection and ML-driven pattern recognition across patients
AI-Enhanced Review Workflows
- Automatically triage patients based on real-time data completeness, SDV status, queries, and defined milestones
- Leverage AI to generate dynamic safety triggers and adaptive safety thresholds — aligned with study-specific CtQ Factors
- Create and customize digital checklists to support standardized review processes across clinicians
- Use embedded NLP models to summarize previous review comments and actions and recommend next best actions
Advanced Safety Analytics
- Monitor protocol-specific safety thresholds with agentic AI to accelerate detection and provide 24/7 oversight
- Visualize analyte changes over time with interactive plots and AI-generated insights
- Identify potential safety concerns early with the Lab Outlier Model and other ML models that detect patterns and trends across subjects, cohorts, and timepoints
- Explore cross-domain correlational relationships to uncover hidden signals that may warrant clinical action
Unlock the Potential of Unified Clinical Data with ThoughtSphere!