SAS expands portfolio of data and AI solutions for life sciences and health care (2024)

New clinical data repository built on SAS® Viya® offers an open, cloud-native, and scalable analytics platform to boost productivity and accelerate innovation

Data offers limitless opportunities to life sciences and health care organizations. It empowers clinical researchers to analyze and uncover trends that can lead to groundbreaking treatments, and it is the foundation to unlocking health care insights more quickly.

SAS Clinical Acceleration Repository, a secure, cloud-native data repository with robust audit and administration capabilities, is now available to help drive innovation for life sciences and health organizations. The analytics platform manages clinical research data, integrates with various data sources, improves clinical trial development and accelerates the path to regulatory submission.

Streamlining and securing clinical data for innovation

Establishing a secure, advanced data repository to manage clinical data and support clinical trial development from various sources, transforming and preparing it for statistical analytics, and packaging it for regulatory submission is a common challenge for many global companies. Additionally, data management and governance challenges can delay clinical research. SAS Clinical Acceleration Repository provides a modular, open, cloud-native content repository for managing, reporting, sharing and reviewing data.

The unique benefits of SAS Clinical Acceleration Repository include:

  • Access to curated research information and health data through a single system of record via an easy-to-use, modern user interface with intuitive dashboards.
  • A production-ready data repository that enables easier and faster data validation. The solution supports groups and permissions, roles and privileges, electronic signatures, version control, search, and an audit trail, while also enabling continuous monitoring and data preservation to support security, and regulatory and data standards compliance.
  • A multi-lingual, open environment to support use of third-party programming languages and tools and data integration from many locations and sources, such as electronic data capture systems, in-house clinical data management systems, labs and contract research organizations.
  • Access to SAS Viya enabled solutions and technology – proven to be 30 times faster than commercial and open-source alternatives – to improve efficiency and speed the path to submission.

“SAS Clinical Acceleration Repository enables researchers and data scientists to better manage their clinical data and empowers organizations to make informed business decisions,” said "Gail Stephens, Vice President of Health Care and Life Sciences at SAS. “Accelerating and improving the clinical development process helps bring therapies to market sooner and strengthens the bottom line for life sciences and health organizations.”

SAS will unveil the new solution atthe Drug Information Association 2024 Global Annual Meeting (DIA 2024) this week in San Diego, CA.

Generating synthetic data to bridge gaps in real-world data

Synthetic data is increasingly being used in the health care and life sciences industries to train and test AI systems in place of or in addition to real-world data. To further support the data and AI needs for health and clinical research, SAS has introduced SAS Data Maker (currently in private preview).

The powerful synthetic data generation capabilities of SAS Data Maker address data privacy and scarcity challenges by generating synthetic tabular data that statistically represents original training data without compromising sensitive patient health information. This enables health care and life sciences companies to innovate faster by combining trusted data augmentation and generation algorithms in one seamless tool.

“SAS Data Maker uses SAS’ cutting-edge, reliable AI models to create statistically accurate data points that truly augment existing data and can capture countless different scenarios, helping organizations better forecast outcomes so they can anticipate their businesses’ changing needs,” said Shadi Shahin, Vice President of Product Strategy at SAS. “This is particularly valuable in instances where specific real-world data is hard to come by or when there’s a need to detect rare case scenarios in highly regulated areas like health care and life sciences.”

AstraZeneca, a global biopharmaceutical company, intends to use SAS Data Maker on the Snowflake Marketplace to empower its data scientists through the use of synthetic data to further improve decision making.

“Synthetic data can enhance our ability to make informed decisions from critical data, and thus has the real potential to help accelerate drug discovery and development, ultimately benefiting patients around the world," noted Brian Dummann, Chief Data Officer at AstraZeneca. “We look forward to leveraging SAS Data Maker and streamlining how data scientists can access synthetic data for their initiatives.”

Employing AI to boost industry solutions

The new health care and life sciences products are outcomes of SAS’ commitment of $1 billion to AI-powered industry solutions over three years. As outlined in the May 2023 announcement, the investment in AI builds on SAS’ decades-long focus on providing tailored solutions to industry challenges in banking, government, insurance, health care, and more.

Learn more about how SAS delivers the most productive AI platform to transform data into life-changing insights and accelerate breakthroughs in life sciences and health care here.

SAS expands portfolio of data and AI solutions for life sciences and health care (2024)

FAQs

What is SAS in clinical research? ›

SAS is a biostatistical program used to maintain and produce tables, listings, clinical trial data management, and graphs for clinical trial reports, among other things.

What does SAS Viya do? ›

SAS Viya seamlessly integrates and enhances open-source algorithms so that data scientists – whether coding in SAS, Python, R or other languages – can leverage its stability, performance, affordability and robust model governance.

What is SAS in public health? ›

SAS advanced analytics solutions enable public sector health agencies to better quantify public health needs in their communities, monitor progress in service delivery, assess the impact of population health programs, and identify and address inequities.

How is SAS used in healthcare? ›

Public health agencies use SAS Health Solutions to:

Oversee the performance of health care facilities and professionals. Support data-driven policy making, and model the impact of policies on enrollment, utilization and budgets.

Is it difficult to learn SAS? ›

“The programming language SAS is built on is Base SAS. This language is similar to SQL, so if you already know SQL, you will find Base SAS easy to learn. Other tools such as Visual Analytics and Enterprise Guide are more visual, drag-and-drop, and much easier to pick up.

What is SAS mostly used for? ›

SAS is a command-driven software package used for statistical analysis and data visualization. It is available only for Windows operating systems. It is arguably one of the most widely used statistical software packages in both industry and academia.

Is SAS similar to Tableau? ›

Requirements Summary Of typical requirements, 72.2% are fully supported out of the box by Tableau including Availability & Scalability, Dashboarding And Data Visualization and Data Management. SAS Visual Analytics supports 65.2% and excels at Availability & Scalability, Data Management and Deployment Options.

Why would anyone use SAS? ›

SAS is commercial software that can be used to perform advanced analytics, business intelligence, data management, and predictive analytics. You can use SAS software through both a graphical interface and the SAS programming language.

What is the difference between SAS and clinical data management? ›

Clinical SAS refers to the use of the SAS software suite for analyzing and reporting clinical trial data. SAS is a powerful software tool widely used in the pharmaceutical and healthcare industries for statistical analysis, data management, and reporting of clinical trial data.

What does SAS stand for in hospital? ›

The term SAS doctor has been around for at least two decades. Originally it was short for 'Staff grade and Associate Specialist', but also grouped together other nationally recognised grades including clinical medical officers, hospital practitioners and clinical assistants.

What are the two types of SAS? ›

The following are the four types of SAS software.
  • SAS for Windows. SAS offers the following features in Windows. ...
  • SAS Enterprise Guide. The SAS enterprise guide is a graphical user interface that helps with the writing processes and assists you with unknown or new procedures. ...
  • SAS Enterprise Miner. ...
  • SAS STAT Software.

What is the meaning of SAS in research? ›

Statistical Analysis System (SAS) is an integrated system of software products provided by SAS Institute Inc., which enables programmers to perform: Information retrieval and data management. Report writing and graphics. Statistical analysis, econometrics and data mining.

What does SAS stand for in pharma? ›

SAS (Statistical Analysis System) and R are two prominent software options widely used in the life sciences and pharmaceutical industries. Both have their strengths and weaknesses, and the decision of which one to use is not always straightforward.

Is clinical SAS hard to learn? ›

To become a Clinical SAS programmer, you need a little bit of motivation, discipline and patience to try till you reach your end goals. A bachelor's degree in computer applications, statistics or computer science is considered to be the minimum qualification to become a SAS programmer.

What is an SAS certification? ›

SAS (Statistical Analysis System) certification has become a significant credential for professionals aiming to excel in data analysis, business intelligence, and predictive modeling.

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