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
Use Cases

- Holistic Patient Data Review
- Data Review Tracking
- Data Reconciliation
- Safety & Efficacy Signal Analysis
- Exploratory Analysis
- Clinical Data Standarization

Holistic Patient Data Review
Graphical patient profiles, which include multiple time-series charts in one location, provide a holistic view of every patient. Lab value averages—by cohort and visit—provide insights into subject trends.

Data Review Tracking
Dynamic line listings highlight new and changed data, to simplify 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
Perform AI-powered exploratory ad-hoc analysis of your clinical data across different domains to derive instant insights without 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.
Access Out-of-the-Box Features in 4 Weeks—Guaranteed.
Saama can put you on the fast track to clinical trial process innovation.