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!

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