SAS Clinical Trials Programmer Certification: How SAS is the Best Choice for Pharmaceutical, Healthcare, & Life Science Solutions?
About SAS
SAS (Statistical Analysis System) is one of the most prominent tools for statistical and data analysis. It is the world's fastest and most dominant software suite for data management, data mining, report writing, statistical analysis, business modeling, application development, and data warehousing. In short, SAS is the largest market in the field of data analysis.
SAS is used to provide answers to analytical tasks, explore unknown outcomes, make automated decisions, for statistical information, find meaningful patterns in data, and discover new technologies using applied mathematics, statistics, predictive modeling, and machine learning.
In today's era, many big organizations have turned to analytics strategy. So that their functional roles and skills have developed significantly.
If you are planning to learn SAS Certification Join the Best Clinical SAS Programming Fundamentals Course in Pune. If you are interested in pursuing a SAS course in Pune then Aspire Techsoft - SAS Authorized Training Partner in Pune is the right place to learn SAS Certification Course. So, After Bpharm or Mpharm - If you want to pursue a career in clinical SAS then go ahead with Clinical Trials Which include SAS Base, Advance SAS, SAS Report, SAS Macros, and Statistics1.
SAS Programming in the Pharmaceutical Industry
SAS is an integrated analytics platform designed for the pharmaceutical industry. SAS enables the user to integrate and analyze data using Predictive Analytics tools with embedded AI, controls operations, and monitors pharmaceutical manufacturing processes using predictive modeling technology.
IT Access real-time data on pharmaceutical manufacturing performance detect and resolve code bundling issues. Also, access to information related to domestic pharmaceutical compliance policies.
SAS provides analytical capabilities to improve operations in Pharmaceutical Manufacturing to deliver safer, more effective drugs, and other therapies to patients with greater efficiency and confidence.
SAS provides insights to help pharmaceutical companies improve quality, performance, and demand forecasting.
Phase I, II, III, IV, etc. SAS is the FDA's most preferred tool for clinical trials which creates regular opportunities for SAS consultants.
All major pharmaceutical, healthcare, and life science organizations use SAS as an analysis tool for clinical research.
On average, it takes 12-15 years for a drug to reach the market. Therefore, SAS is mainly used in all research and the time required for clinical trials is reduced and more income can be obtained in less time.
About 8000 - 10000 clinical trials are conducted every year. SAS-trained consultants are more important for this. SAS Clinical Programmers will always be in demand throughout the year and in the years to come.
Once SAS Clinical Trials Programming is trained, it becomes easier to understand the needs of various industries.
Why SAS is the perfect choice for Pharmaceutical Professionals?
Clinical SAS Programming enables pharmaceutical students as well as other clinical professionals to learn advanced SAS clinical analytics concepts. SAS Clinical Programming is primarily used to manage clinical and scientific research data files.
In the USA, new drugs and medical devices are required to submit and define data to prove the results of clinical trials to agencies that approve them, such as the FDA or the Food and Drug Administration. By law, a drug sponsor is not required to obtain any specific proprietary vendor form.
Statistical programming in a pharmaceutical organization is done in SAS. SAS Clinical Programming has seen many new upgrades; one of that SAS Version 9.4 This includes the use of some older file formats that have influenced more modern submission standards such as CDISC.
If you want to pursue a career in SAS Clinical Programming then SAS Clinical Trials Programming Certification is a great option. Pre-requisites before joining SAS clinical course are computer software, basic experience in the clinical sector, and graduation in the clinical sector.
While learning SAS Clinical Trials Programming, the user should be able to understand the file structure of the computer software system and understand the commands of the system. It does not require prior experience in SAS programming to join the SAS Clinical Programming Fundamental Certification Course in Pune.
SAS in Clinical Research
SAS is the market leader in Clinical Research Analytics. It provides a secure scalable framework for data analysis and submission. SAS AIML (Artificial Intelligence & Machine Learning) analytical tools and techniques give you a competitive edge in the era of clinical analytics.
From initiation to the modernization of clinical trials, bringing life-changing therapies to market provides faster and greater efficiency.
SAS Clinical Trials Programmers work in pharmaceutical, healthcare, or Clinical Research Organization (CRO) organizations, where they use their programming skills to create and manage software used by doctors, nurses, and other medical professionals.
Clinical Trial programmers typically work with clinical data managers, statisticians, and data analysts to preserve and analyze clinical research information.
Clinical Trials programmers typically work with clinical data managers, statisticians, and data analysts to preserve and analyze clinical research information.
SAS also provides the leading platform for data transparency, allowing you to securely share historical trial data with third-party researchers for drug improvement.
It also provides a leading platform for data transparency, helping you securely share clinical trial data with third-party researchers for drug improvement.
By adopting SAS Clinical Analytics Tools, you can spend more time on data exploration, data monitoring, and advanced analytics, providing insight into the clinical development process.
You can collaborate with partners by integrating the clinical ecosystem. You can handle raw data from the Internet of Medical Things (IoMT) devices using streaming and edge IoT analytics.
How SAS Analytics Increased Clinical Research and Drug Development for Pharmaceutical, Healthcare, and Life Science Organizations?
- Delivering the power of analytics to the cloud
- Helping pharmaceutical companies to accelerate clinical research
- Developing sophisticated clinical research tools
- Modernizing clinical trials for the Future
- Personalize & Create Targeted Medications
- Reduce Cost and Increase Drug Utilization
- Improved insight into marketing and sales performance.
- Improve safety and risk management.
- Social & Search Engine Listening To Capture Data Of Interest
- Improving Operations & Employee Training
- Research and early development
- Development, regulatory, and safety
- Manufacturing and supply chain
- Market Access, medical and commercial
Clinical Research and Clinical SAS Difference
Clinical SAS involves programming using SAS software that is used to process all types of data related to clinical research. This includes data cleaning, data mining, and data analytics. Clinical research includes activities ranging from a clinical trial, clinical trial management, monitoring, reporting, Pharmacovigilance, and data management.
How SAS Supports Pharmaceutical, Healthcare, and Life Science Organizations for Manufacturing?
SAS provides much analytical proficiency to improve manufacturing performance in pharmaceutical, healthcare, and life science companies so you can more efficiently and confidently deliver safe, effective drugs and other therapies to patients.
With SAS (Statistical Analysis System), you can improve quality, and equipment performance, and gain insights from the supply chain to help improve authentic demand forecasting.
A) Data Integration
SAS Clinical Data Integration is a new product from SAS that focuses on creating, managing, and verifying CDISC (Clinical Data Interchange Standards Consortium) in industries like pharmaceutical, and health science.
Clinical data integration relies on SAS data integration. The product relies on SAS data integration to provide centralized Tools for metadata management and visual transformation of data using the SAS Metadata Server.
SAS Clinical Data Integration enhances usability by using metadata as well as adding plug-ins and wizards that aid in clinical work.
SAS Clinical Data Integration can transform, manage and validate clinical data in support of industry data standards such as CDISC.
SAS also provides the foundation to ensure that standard, accurate clinical data can be used to support strategic analyses, such as study analysis and progressive safety analysis.
Pharmaceutical companies gain a holistic view of product quality and performance with Clinical Data Integration.
Clinical Trials Process Reports, Clinical Research Projects, Electronic health records of patients, Biotech, and Life Science Companies - Sales Data, as well as data from Laboratory Information Management Systems (LIMS) can be integrated with real-time streaming data from quality control and manufacturing processes.
Advantages of SAS Data Integration
- SAS data integration reduces development time by enabling the rapid generation of data warehouses, data marts, and data streams.
- It controls the costs of data integration by supporting collaboration, code reuse, and common metadata.
- It increases returns on existing IT investments by providing multi-platform scalability and interoperability.
- It creates process flows that are reusable, easily modified and have embedded data quality processing.
- Always access the data you need.
- Deliver consistent, trusted, and verifiable information.
Benefits of Data Integration
- Data integrity and data quality
- Logical skills transfer between systems
- Easy, available, and fast connections between data stores
- Development productivity and ROI
- Better collaboration
- Complete, real-time business insights, intelligence, and analytics
B) Data-drive root cause analysis
Root Cause Analysis is one of the most important factors in determining quality in the pharmaceutical industry.
It is the initial activity of knowing the sequence that causes problems and finding a way to solve those problems.
Using root-cause analysis to troubleshoot and resolve problems in the Pharmaceutical, Healthcare, and Life Science industries enables greater uptime and smoother operations.
This includes finding the root of problems through data, learning to visualize the possible causes of your problems using statistical methods, and understanding where you need to optimize and what new initiatives are needed.
In short, root cause analysis provides a basis for streamlining the problem-solving process and for further development and optimization of the process.
Structuring the Root Cause Analysis
C) Predictive Analytics with AIML
Predictive Analytics is the use of data, statistical algorithms, and AIML (artificial intelligence and machine learning) to predict future outcomes based on past data.
The goal is to provide the best assessment of what may happen in the future and go beyond knowing what has happened.
It can quickly integrate and analyze massive amounts of data using predictive analytics with embedded AI (Artificial Intelligence).
Predictive Analytics can control processes using predictive modeling techniques such as neural networking, regression analysis, and clustering.
Predictive Analytics can automatically monitor all Pharmaceutical manufacturing processes to help ensure continuous product quality.
Predictive Analytics Techniques
- Regression analysis
- Correlation analysis
- Classification techniques
- Segmentation techniques
- Time series models
- Deep learning technologies
Who’s using Predictive Analytics?
- Banking & Financial Services
- Retail
- Oil, Gas & Utilities
- Governments & the Public Sector
- Pharmaceutical
- Life science
- Manufacturing
- Health Care
D) Real-Time Decision support
Leverage IoT and streaming data to generate actionable alerts to improve quality.
Use predictive maintenance to maximize equipment performance and optimize throughput and yield.
Real-time Decision Support System Decision support system in pharmaceutical companies plays an important role in dealing with critical patient situations. Also, effective and efficient real-time monitoring must be provided.
BENEFITS OF AI CLINICAL DECISION SUPPORT SYSTEMS
- Enhancing diagnostic accuracy
- Making more informed decisions
- Helping and assisting physicians
Challenges to Real-Time Decision Support in Health Care
- Getting users on board
- Reaching sufficient performance to reach trust
- Improving data quality to build quality algorithms
Why SAS (Statistical Analysis System) for Pharmaceutical Manufacturing?
Finest Clinical Data Sources used in Pharmaceutical Industries
- Clinical Trials Process Reports
- Clinical Research Projects
- Health Insurance Companies Data (Claims Data)
- Electronic health records of patients
- Tracking of Patients Statistics
- Primary Data Sources - Patient Prescription History
- FDA Research Data
- Administrative Data
- Health Surveys
- Patient / Disease Registries
- Patient Testimonials Data
- Biotech, Life Science Company - Sales Data
- Social Media & Website Records - Patient self-data according to their search health-related data
Clinical SAS Programming Professional Certification: Overview & Career Path!
Who can Learn SAS Clinical Programming Professional?
Bachelor’s / Master’s degree in BPHARM, Pharm D, Biotechnology, MBBS, MD, BDS, BHMS, BUMS, BAMS, BPT/ MSc. Stat and Math’s Degree, BE. BTECH, BCA, MCA, MSC Etc. You can learn the SAS Certification course.
Software Developers, IT Professionals, Engineers, Analysts, and Freshers want to kick-start a career in software development.
Bachelor's Degree is mandatory. No coding experience is required.
What will you learn in SAS Clinical Trials Programming Professional?
- Demonstrate knowledge of the clinical trials process and data structures.
- Access, manage and transform clinical trial data.
- Apply statistical procedures to analyze clinical trial data.
- Utilize macro programming for clinical trial data.
- Report clinical trial results.
- Validate clinical trial data reporting.
SAS Clinical Trials Programming Professional includes 17 Concepts.
- Writing SAS programs.
- Manipulating and summarizing data using SAS procedures.
- Creating SAS programs that are reusable and dynamic using macros.
- Processing SAS data using Structured Query Language (SQL).
- Report writing essentials.
- Creating high-quality presentation graphics.
- Introduction to clinical trials and CRO industry.
- Hands-on training on study documents.
- Hands-on training on CDISC standards.
- Deep dive into AdaM.
- SDTM programming.
- AdaM programming.
- Hands-on training in creating clinical trial reports.
- Hands-on training creating clinical trial graphs.
- Hands-on training on Define.xml and Reviewer’s Guide.
- Introduction to ANOVA, Regression, and Logistic Regression (free e-learning course).
- Evaluation through assessments.
SAS Clinical Trials Programming Certification Includes courses
Base SAS - It is a beginner program on SAS. It covers topics like SAS formats, Syntax, etc. It covers how to convert normal data of various formats into SAS format so that it can be utilized for analytics and reporting. It is mapped to SAS Certified Base Programmer for SAS 9 credential.
Advanced SAS - This course is for SAS programmers who prepare data for analysis. The comparisons of manipulation techniques and resource cost benefits are designed to help programmers choose the most appropriate technique for their data situation.
It focuses on the components of the SAS macro facility and how to design, write, and debug macro systems. Emphasis is placed on understanding how programs with and without macro code are processed. It also covers how to process SAS data using Structured Query Language (SQL). It is mapped to SAS Certified Advanced Programmer for SAS 9 credential.
SAS Report Writing 1: Essentials - SAS Report Writing teaches you how to create detailed and summary tabular reports using Base SAS procedures. You also learn how to enhance your reports using the Output Delivery System (ODS).
SAS Macro Language 1: Essentials
SAS macros contain programming statements that enable you to control how and when text is generated.
When you use a macro name in SAS Programming or by using the command prompt, the macro facility generates SAS statements and commands as needed.
Macros are compiled programs that you can call from submitted SAS programs or from the SAS command prompt. Like macro variables, you can also use SAS macros to create text.
Macros can accept parameters. You can write generic macros that can serve many uses.
This course focuses on using the SAS macro facility to design, write, and debug macro programs, with an emphasis on understanding how programs containing macro code are processed.
Statistics 1: Introduction to ANOVA, Regression, and Logistic Regression - This introductory course is intended for SAS software users who perform statistical analysis using SAS/STAT software.
It focuses on t-tests, ANOVA, and linear regression and includes a brief introduction to logistic regression.
This course (or equivalent knowledge) is a prerequisite for many courses in the Statistical Analysis curriculum. It is mapped to a SAS Certified Clinical Trials Programmer using the SAS 9 credential.
SAS Clinical Programming Professional Certification exam Credentials:
SAS Clinical Programming Professional Included Two certification Exam Credentials:
1) SAS Certified Specialist: Base Programming Using SAS 9.4.
2) SAS Certified Professional: Clinical Trials Programming Using SAS 9.4
Clinical SAS Future Scope:
In India, clinical SAS programmers are emerging. Clinical SAS programming has grown rapidly over the past few years and looks set to continue in the coming years due to improvements and the availability of skilled personnel.
Due to the increasing demand for skilled resources, advanced career opportunities in SAS programming are developing.
SAS Analytical Research is a huge advantage in today's job market. Traditional healthcare organizations are changing their careers for SAS programmers.
SAS has become a popular tool for measuring the current state and future vision of healthcare organizations.
SAS provides analytics solutions to many industries to understand their needs and clients. Clinical research is completely dependent on SAS. Data analysis of clinical trials relies entirely on SAS.
Large pharmaceutical companies have invested millions of dollars in creating tools like SAS Macros for data analysis and reporting purposes.
Job Profiles for Clinical Trials Programmer
- Clinical SAS Programmer
- Statistical Programmer
- Programmer Analyst
- Biostatistician
- Clinical Data Modeler
- Clinical Data Analyst
- SAS Data Analyst
Conclusion:
For decades, pharmaceutical, health care, as well as life sciences, and other medical companies have relied on Analytics Frameworks. SAS supports cloud-based analytics embedded analytics for clinical research, as well as support for data manipulation and optional integrated analytics applications.
If you are interested in a career in SAS Clinical Trials Programming, you must have knowledge of SAS Base and SAS Advanced. Learn how to write SAS programs, understand the components of SAS Macros to automate your work, and reduce maintenance time and effort. Also, learn how to process data using SQL language. Then learn how to support data management, data extraction, and data transformation on Data Management technologies.
If you are planning to learn SAS Certification Join the Best Clinical SAS Certification Training Institute in Pune with Placements. If you are interested in pursuing a SAS course in Pune then Aspire Techsoft - SAS Authorized Training Partner in Pune is the right place to learn Clinical SAS Course in Pune. So, After Bpharm or Mpharm - If you want to pursue a career in clinical SAS then go ahead with Clinical Trials Which include SAS Base, Advance SAS, SAS Report, SAS Macros, and Statistics1.
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