Saama's Intelligent Clinical Cloud Offering: Life Science Analytics Cloud
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- Resource Mgmt
- IRT/IVRS RTSM
- Site Performance
- Trial Performance
Governance • Curation • Harmonization Orchestration • Unified Data Model • Metrics Ad-Hoc Reporting • Conversational UX
Nearly two out of three Saama users report that our technology saves their teams time.*
The Clinical Intelligence You Need to Succeed
Saama’s cloud-based, AI-powered solutions and services offer powerful data aggregation, monitoring, analytics, and collaboration capabilities, so sponsors and CROs can optimize drug development processes.
- Reduce cycle times and improve data quality
- Use actionable insights to keep studies on track
- Identify and resolve issues before they become major problems
Saama’s cloud-based smart applications speed the validation of clinical trial data and accelerate drug discovery and development. These technology-agnostic applications integrate with existing systems and let you take the power of AI further than ever before. Saama’s AI models are trained using more than a hundred million clinical data points and are easily embedded into existing infrastructure and business workflows.
Study managers, CRA managers, and C-level executives use Operations Insights to monitor study status and avoid milestone delays. By optimizing portfolio oversight, all your enrollment, compliance, and site productivity issues can be identified and resolved before becoming major problems. A fully auditable task management system facilitates collaboration, and an AI-powered virtual assistant provides instant answers to thousands of questions.
Clinical Insights brings all your safety and subject-level data into a unified structure, for consistent and proactive medical review and safety signal analysis. Dynamic line listings and graphical patient profiles specifically highlight data changes for easier data management and faster resolution of protocol deviations and adverse events. What’s more, medical reviewers can use detailed labs—with access to actual test results—to visualize trends and identify outliers.
Risk Based Quality Management (RBQM)
Using artificial intelligence (AI) and machine learning (ML), RBQM enables the continuous identification and mitigation of safety, efficacy, operational, study, and site risks throughout the design, conduct, evaluation, and reporting of your clinical trials. With the introduction of automatic risk assessment plans, anomaly detection, and advanced predictive KRIs, RBQM is your one-stop shop for risk management success.