The Role of SAS in Clinical Research Analytics!

How does SAS Support Clinical Research Analytics?

SAS provides a secure analytics foundation and scalable framework for clinical analytics. SAS develops powerful analytical tools and technologies with the help of AI and machine learning. From initiating trials to modernizing trial design, clinical trials drive competitive change in the world of analytics. SAS also provides a modern platform for data transparency, allowing researchers to securely integrate clinical data for drug improvement.

Clinical Trials modernization:

By adopting the Clinical Analytics Foundation, you can spend more time on data exploration, data quality monitoring, and implementing advanced analytics and statistics.

Clinical trial operational analytics:

clinical trial operational analytics provides a visual and interactive demonstration of your research data that allows authorized users to perform powerful research and cross-trial reporting and analysis.

The Clinical Trial Operational Analytics app provides an overview of various aspects of trial progress to make informed decisions — including Enrollment forecasting uses real-world data to accurately inform operational processes and make better decisions.

AI & Machine Learning:

SAS uses AI & Machine Learning analytics to drive new insights and drive clinical development efficiency. This is why opportunities for automation and continuous growth and innovation across learning, including AI & machine learning, are rapidly increasing.

Future Clinical Trials will focus on efficiency and development in virtual, practical, and adaptive trials using SAS AI & machine learning. SAS AI technology supports machine learning, computer vision, language processing, prediction, and optimization to meet business needs in a changing world.

Why SAS for clinical research Analytics

Gain insights faster: SAS adopts an integrated platform for data analytics and submissions, allowing the analytics team to focus more on clinical trials. SAS technology provides scalability, and visualization as well as statistics to quickly find potential solutions to clinical trial results. SAS delivers data to regulators using auditable actions, traceability, and repeatability using CDISC standards. Also provides technical support to global teams and partners.

Using Analytics to reduce the cost of research: SAS data analytics functionality is increasing rapidly by using various technologies like Artificial Intelligence. This reduces the time and cost for researchers to design research tests and optimize those processes.

Estimating patient enrollment for research: This includes creating enrollment models for research analysis as well as obtaining volunteers for clinical trials. Also, if the number of patients required for the test is less, it can be predicted.

Conclusion: SAS Application Technology is being used for Clinical Trials and Data Analytics in pharmaceutical, healthcare, clinical research as well as biotech organizations. These clinical trials are making an impactful change in the lives of patients. The Scope of clinical SAS programming has seen rapid growth in the last few years, and SAS analytical research is a great advantage in today’s job market. Traditional healthcare organizations are adapting their careers for SAS programmers. If you want to pursue a career in clinical SAS then enroll SAS Clinical Trials Certification course in Pune which includes SAS Base Programming, Advance SAS, SAS Report, and Statistics1.

Learn new skills to analyze and report on clinical studies within the organization. It is necessary to learn concepts like Clinical Trials like SDTM and ADAM CDIC in clinical trials.