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Saama

Saama

Overview

What is Saama?

Saama Life Science Analytics Cloud (LSAC) is an analytics and AI/ML-based solution designed for the life sciences industry. According to Saama Technologies, LSAC focuses on optimizing clinical trials, managing data, and facilitating regulatory submissions. The product is intended for organizations of...

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Pricing

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What is Saama?

Saama offers clinical data management solutions. Saama’s Data Hub is a data ingestion solution for the clinical research industry, centralizing and standardizing high volumes of data from any source, used to eliminate manual data aggregation and reconciliation processes.

Entry-level set up fee?

  • No setup fee

Offerings

  • Free Trial
  • Free/Freemium Version
  • Premium Consulting/Integration Services

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Product Details

What is Saama?

Saama Life Science Analytics Cloud (LSAC) is an analytics and AI/ML-based solution designed for the life sciences industry. According to Saama Technologies, LSAC focuses on optimizing clinical trials, managing data, and facilitating regulatory submissions. The product is intended for organizations of all sizes, including pharmaceutical companies, biotechnology firms, contract research organizations (CROs), and academic research institutions. It is used by various professionals in the life sciences sector, such as clinical researchers, data managers, biostatisticians, clinical programmers, and regulatory affairs professionals.

Key Features

Data Hub: According to the vendor, Saama LSAC automatically centralizes and standardizes clinical, operational, and financial data from multiple source systems. It offers flexibility in data ingestion through pre-built connectors or direct upload of flat files. The product is scalable to meet the needs of organizations with large, global studies.

Smart Data Quality (SDQ): According to Saama Technologies, SDQ uses advanced AI/ML models to automate data review processes and reduce query generation times. It supports real-time ingestion of structured and unstructured data, including flat files. SDQ provides functions for data standardization and export to any system, along with automated quality checks and an audit trail for data transformations.

Source to Submission (S2S): Saama LSAC transforms raw clinical data into CDISC SDTM standards using AI and ML, as claimed by the vendor. It offers accurate AI/ML-driven mappings with suggestions and confidence scores. The product supports training AI/ML models on historical data, provides a library of reusable macros, and enables export of SAS transport files for submission and integration with Pinnacle 21.

Operational Insights: According to Saama Technologies, LSAC centralizes and visualizes trial data in real-time through interactive, role-specific dashboards. It provides analytics on milestone cycle times, operational challenges, and quality indicators. The product surfaces country-level trends, visualizes trends over time, and offers pre-built KPIs and configurable visuals for easy customization.

Patient Insights: Saama LSAC provides real-time access to standardized patient data from any source system, according to the vendor. It offers complete visual patient profiles that are dynamic and updated in real-time. The product surfaces patterns, trends, correlations, and predictions within patient data as Smart Suggestions. It enables intuitive visualization of patient journeys and helps predict patient behavior and drug response.

Saama Video

AI powered clinical analytics platform

Saama Technical Details

Deployment TypesSoftware as a Service (SaaS), Cloud, or Web-Based
Operating SystemsUnspecified
Mobile ApplicationNo
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