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Clinical Insights

Medical monitoring is essential for ensuring patient safety and proving the efficacy of treatments under study during clinical trials. Saama brings all your safety and subject-level data together from EDC, ePRO, labs, and other sources, based on the Clinical Data Interchange Standards Consortium’s (CDISC) Study Data Tabulation Model (SDTM).



Clinical Insights enhances your analytics capabilities for more accurate data review and better decision making. The application also includes Saama’s revolutionary Deep Learning Intelligent Assistant (DaLIA), which lets you query your data for immediate answers to thousands of questions.

LSAC: Clinical Insights

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  • EDC
  • Safety
  • IRT/IVRS RTSM
  • Site Performance
  • Trial Performance
  • Investigation
  • Lab
  • Biomarker

Governance • Curation • Harmonization Orchestration • Unified Data Model • Metrics Ad-Hoc Reporting • Conversational UX

 

Holistic Patient Data Review

Graphical patient profiles, which include multiple time-series charts in one location, provide a single, holistic view of every patient for at-a-glance medical review.

Solution Brief
 

Data Review Tracking

Dynamic line listings highlight new and changed data, greatly simplifying the medical review process.

 

Data Reconciliation

When your entire medical review process is automated, you can easily highlight discrepancies, handle exceptions, and create and manage auditable tasks for items needing additional investigation.

 

Safety and Efficacy Signal Analysis

Issues related to adverse events and protocol deviations are easily identified and categorized for faster resolution.

 

Exploratory Analysis

Use AI to analyze clinical data across domains and derive instant insights without the constraints of dashboards, charts, or programming.

 

Clinical Data Standardization

Data from disparate sources is aggregated into a Unified Study Data Model, which makes it easy to analyze events and create and distribute meaningful reports.

Saama can put you on the fast track to clinical trial process innovation.