Life Sciences Analytics

SAS provides a complete portfolio of solutions to help you extract intelligence from your real-world data assets. With SAS, you can more effectively manage your data, create clinically relevant cohorts of patients, and better visualize and analyze the cohorts. As the only vendor to offer an end-to-end solution that drives efficiencies, SAS delivers:

• Fast access to real-world evidence. Directly interact with real-world data. Quickly determine study feasibility based on the number of patients meeting criteria. Extract patient populations interactively to reduce required time and resources. Identify patient populations without coding. Reuse and modify criteria against other real-world data assets to compare across populations, reducing time and improving efficiency.
• A complete analytical toolset. Access an analytics library of methodologies that include simple descriptive statistics, predictive analytics and machine learning methods to compare outcome variables of interest across or within patient/member cohorts.  

SAS provides best-in-class data integration, high-performance analytical capabilities and visualization solutions that deliver insights. Achieve faster time to insight and gain a competitive advantage for product development, marketing, market access and commercialization decisions. With SAS you can:  

• Easily integrate real-world data from multiple sources and vendors. SAS provides a unified data management platform that gives you access to disparate real-world data sources, the ability to automate ingestion and integration of data into a common data model, and the governance capabilities to monitor data quality and assess the impact of changing source data. 
• Go far beyond traditional query and reporting. An intuitive, interactive interface facilities fast identification of patient populations and feasibility for research studies.
• Build an analytical foundation for real-world evidence. Only SAS provides all the capabilities you need to get insights from real-world evidence – from data management to cohort creation to advanced analytics.

Clinical research is a slow and expensive process, with trials failing for a variety of reasons. The high costs associated with the research and development of therapeutics ultimately affects the cost of health care. As such, there is a human cost associated with inefficient trials. Advanced analytics, artificial intelligence (AI) and the Internet of Medical Things (IoMT) has the potential to improve speed and efficiency at every stage of clinical research. SAS delivers proven analytical solutions:

• Clinical trial enrollment simulation. Leverage advanced analytics to mimic the behavior of the enrollment process, and quickly predict likely outcomes. This gives decision makers the ability to test different approaches to meet enrollment goals through what-if scenarios.
• An analytical framework for clinical research. With our end-to-end clinical analytics foundation, you'll spend less time on operational data management activities and more time on data exploration, data quality monitoring, and executing advanced analytics and statistics.
• Clinical data mapping using machine learning. Easily store transformation rules in a central database in alignment with actual trial data and CDISC data standards metadata. SAS and open source machine learning helps you drive automation and consistency across studies.
• Internet of Medical Things (IoMT). The unprecedented and transformational growth in data volume and velocity from devices will make the application of streaming and edge IoT analytics an imperative, not an option.  

For more than 40 years, SAS has been the market leader in advanced analytics and data management for clinical research. SAS monitors life sciences research trends so we can provide innovative solutions that will help you solve tomorrow's challenges, in alignment with the latest regulatory requirements. With SAS as a strategic analytics partner, you can:  

• Integrate the complete research life cycle with a single environment for end-to-end clinical trial analytics. SAS is the only company delivering an integrated platform for clinical data processing, data review, standards management, study metadata management, data analysis, programming and submission.
• Get faster clinical insights. Leverage core statistical analysis, data preparation, data visualization and advanced analytics – such as data and text mining, forecasting and optimization. 
• Unlock potential with AI adoption in life sciences. SAS embeds AI capabilities in our life sciences analytical software to deliver more intelligent, automated solutions that help you boost productivity and discover new possibilities. From machine learning, to computer vision, to natural language processing (NLP), to forecasting and optimization, our AI technologies support diverse environments and scale to meet changing business needs.