Innovation and growth drive the life sciences industry. Yet increasing complexity, cost pressures, regulatory issues, and information overload are making innovation harder and harder to achieve.

What if you could manage, analyze, and turn massive volumes of data into valuable and actionable insights to sustain your innovation and maintain competitiveness?
What if you had insight into life science’s toughest challenges?
What if you could make better clinical decisions, ultimately bringing viable, safer products to market faster?

Life Science Analytics Cloud

Life Science Analytics Cloud is the leading AI-powered clinical analytics platform that seamlessly integrates, curates, and animates your data, delivering more actionable insights.

AI-Powered
Solutions

Saama employs the focused use of AI to overcome obstacles historically associated with clinical development and improve the life sciences industry’s ability to deliver safe and effective therapies. Intelligently read and use unstructured EMR data while maintaining HIPAA-compliant use of medical text containing de-identified PHI.

Learn more about our approach.

 

 

 

Graphical Data Orchestration

All data analytics companies process and aggregate data. The key questions are how comprehensive are the data sets that they can ingest, how long does it take to do it, and how much effort do you need to put into doing it. Saama abstracts data management, making it simple and quick to stitch all your disparate data silos together. Its orchestration environment integrates and aggregates structured and unstructured data, saving up to 26 weeks in study implementation time.

Holistic View of Critical Enterprise Data

If you have a limited or siloed view of your data, it has a negative effect on the speed and accuracy of your corporate decision-making processes. Saama provides a holistic and comprehensive view of all your data and delivers solutions tailored to your business, guaranteeing the most pressing problems get solved.

 

 

 

 

 

LSAC for Study Conduct

Saama's Life Science Analytics Cloud (LSAC) for study conduct delivers cleansed, aggregated operational and clinical data for more cost-effective management of pre and post approval studies. Life Science Analytics Cloud provides clinical data management and analytics for bioinformatics and operations. LSAC’s data engine normalizes disparate sources of data from a variety of systems across your enterprise such as CTMS, EDC, EHR, financial, etc., to give you a persona-based, holistic view of your studies. Dynamic user experience (ability to zoom in and out) enables the user to spend less time wrangling data while gaining instant access to actionable insights. With LSAC, you can assess operational and financial risks across all studies to evaluate performance based on key metrics and flag potential risks that would impede the study.

LSAC for Study Conduct

Saama's Life Science Analytics Cloud (LSAC) for study conduct delivers cleansed, aggregated operational and clinical data for more cost-effective management of pre and post approval studies. Life Science Analytics Cloud provides clinical data management and analytics for bioinformatics and operations. LSAC’s data engine normalizes disparate sources of data from a variety of systems across your enterprise such as CTMS, EDC, EHR, financial, etc., to give you a persona-based, holistic view of your studies. Dynamic user experience (ability to zoom in and out) enables the user to spend less time wrangling data while gaining instant access to actionable insights. With LSAC, you can assess operational and financial risks across all studies to evaluate performance based on key metrics and flag potential risks that would impede the study.

Global Portfolio Analysis
Life Science Analytics Cloud allows you to keep track of and monitor one study or an entire portfolio of studies for development and commercial evidence generation.

Risk Management/Mitigation (Operational, Financial)
KPIs tracking ensures that any deviation from expected operational or financial business objectives are flagged so that you can take immediate remedial action.

Region, Country, and Study-Based Milestone Management
Tailored to your business, your regional, country, or study leaders can manage the studies within their control - all from data that represents a single version of the truth.

Global Portfolio Analysis
Life Science Analytics Cloud allows you to keep track of and monitor one study or an entire portfolio of studies.

Risk Management/Mitigation (Operational, Financial)
KPIs tracking ensures that any deviation from expected operational or financial business objectives are flagged so that you can take immediate remedial action.

Region, Country, and Study-Based Milestone Management
Tailored to your business, your regional, country, or study leaders can manage the studies within their control - all from data that represents a single version of the truth.

Leveraging Artificial Intelligence to address stubborn drug development challenges

Artificial Intelligence, (Machine Learning, Deep Learning) technologies have very powerful and broad applications across industries. Saama employs the focused use of AI to overcome obstacles historically associated with clinical development and improve the life sciences industry’s ability to deliver safe and effective therapies.

We offer a revolutionary way on interacting with and gaining new insights from your data through a Deep Learning Virtual Assistant (DaLIA) that provides easy-to-use, context and domain-aware conversational experiences as an alternative to the traditional user experience. DaLIA puts you in touch with deep learning, machine learning-augmented functions within LSAC designed to alleviate the challenges inherent in and pervasive throughout the drug development continuum.

Application of AI to produce superior business outcomes:

Download the infographic

Clinical Data Analytics: Disruptive Technology on the horizon

Optimize your clinical development processes for faster time-to-market

  • Optimize your clinical development processes giving you faster time-to-commercialization for your products, better business, and patient outcomes, and lowering your development costs.
  • An enterprise-wide view of all your clinical data ingested from all data sources.
  • Evaluate trial performance across a portfolio of studies and flag potential risks that could impede the study by delivering actionable insights on demand.
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