InstructorRoyed Training
TypeOnline Course
Student Enrolled5
Price$132/ 11484 INR.
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Real World Evidence RWE Training

Introduction

Features

Learning Outcome

Who should attend

Related Courses

Importance

The Real World Evidence (RWE) Online Certification Course by Royed Training is expertly designed to provide a comprehensive understanding of how real-world data (RWD) drives impactful healthcare decisions. Firstly, through a structured and engaging microlearning curriculum, participants gain the skills needed to design, analyze, and interpret RWE studies. This hands-on approach supports crucial areas such as regulatory approvals, market access strategies, and health outcomes research.

Moreover, the course incorporates practical exercises and detailed case studies, seamlessly bridging theoretical knowledge with real-world applications. As a result, professionals looking to leverage RWD to overcome contemporary challenges will find this training an excellent fit.

Furthermore, the course emphasizes the growing importance of real-world evidence in transforming healthcare and biopharmaceutical innovation. It covers essential topics such as RWD sources, advanced analytics, and the integration of RWE in clinical trials, pharmacovigilance, and pricing decisions. Additionally, the program is delivered by seasoned industry experts who provide actionable insights and globally relevant expertise.

In addition, learners are encouraged to apply their knowledge through interactive exercises and reflection questions, ensuring a practical understanding of the requirements for drug development and commercialization. Whether you are advancing your career or entering the RWE domain, this certification equips you with the necessary skills to thrive in a data-driven healthcare environment. Above all, The course is structured to deliver critical knowledge in bite-sized lessons that fit easily into busy schedules while ensuring deep learning and immediate application in real-world settings.

The course can be completed at any pace, allowing the user to stop and start at their leisure.

Snapshot of the course:

  • Course Code: RYD-122
  • Title of the course: Microlearning Certification in Real World Evidence (MCRWE)
  • Types of Learning: Microlearning, Online Self Paced Learning.
  • Duration: 3 days
  • Course Certificate: Course certificate will be issued at the end of the course.

Dedicated HEOR training course covers topics related to real world evidence along with practical exercises.

Course features

  • Online, Self-Paced Learning: Flexibly designed to fit your schedule, allowing you to learn at your own pace from anywhere.
  • Micro-Learning Format: Bite-sized lessons that enhance retention and make complex topics easily digestible.
  • Industry-Relevant Curriculum: Detailed exploration of RWE principles, data sources, methodologies, and real-world applications.
  • Interactive Learning: Engaging modules with interactive elements, case studies, and practical examples.

Benefits:

  • Gain a competitive edge by mastering real world evidence RWE methodologies and their applications.
  • Improve your ability to design, interpret, and implement real world evidence RWE studies for regulatory and business decisions.
  • Strengthen your career prospects in pharmaceutical and biopharmaceutical companies, healthcare organizations, and consultancy firms.
  • Develop actionable insights for pricing, reimbursement, market access, and patient outcomes strategies.

By the end of the course, participants will:

  1. Understand the strategic importance of RWE in modern healthcare.
  2. Gain hands-on experience in leveraging real world data for actionable insights.
  3. Address real-world healthcare challenges using evidence-based solutions.

Who should attend this course? 

This Real World Evidence training (RWE course) is ideal for professionals in the pharmaceutical, biopharmaceutical, and healthcare industries, including:

  • Market Access and Pricing Professionals
  • Data Scientists and Healthcare Analysts
  • Regulatory Affairs Specialists
  • Pharmacovigilance and Drug Safety Professionals
  • Clinical Researchers and Medical Affairs Teams
  • Health Economics and Outcomes Research (HEOR) Specialists
  • Healthcare Consultants and Strategists
  • Graduate students or early-career professionals aiming to specialize in Real World Evidence (RWE)
  • Anyone interested in understanding how real-world data informs better healthcare outcomes

Importance of RWE and RWD

Understanding Real World Evidence (RWE) and Real World Data (RWD) is essential in today’s healthcare and biopharma industries. Unlike controlled clinical trials, RWD reflects real-life patient experiences, offering valuable insights into treatment effectiveness and safety. Therefore, learning about RWE helps bridge the gap between clinical research and everyday healthcare.

Moreover, RWE is increasingly important for regulatory approvals, pricing, and market access strategies. It supports decisions like accelerated drug approvals and post-market surveillance. Additionally, RWD enables healthcare professionals to demonstrate the value of treatments in diverse, real-world settings. In a rapidly evolving and data-driven industry, mastering RWE is crucial for staying competitive and driving innovation.

Why we must learn Real World Evidence (RWE)?

Here are some of the reasons:

  • Understand Real-Life Treatment Impact: Learn how therapies perform outside controlled clinical trial settings in diverse patient populations.
  • Support Regulatory Approvals: Gain knowledge to contribute to accelerated drug approvals and post-market safety monitoring using RWE.
  • Improve Market Access Strategies: Use RWE to demonstrate the value of treatments for pricing, reimbursement, and payer decisions.
  • Optimize Healthcare Outcomes: Analyze real-world data to identify trends, improve patient care, and enhance health system efficiency.
  • Enhance Decision-Making Skills: Develop expertise in interpreting RWD for informed decisions in drug development and commercialization.
  • Drive Innovation: Leverage RWE to support personalized medicine and next-generation healthcare solutions.
  • Stay Industry Relevant: With growing reliance on RWE by regulators, payers, and healthcare providers, mastering this skill is vital to career growth.

RWE is tagging multiple business domains

Real World Evidence (RWE) is revolutionizing the pharma business by integrating real-world data (RWD) from electronic health records, insurance claims, and patient registries into the drug development process. Consequently, pharmaceutical companies can complement traditional clinical trials with robust, actionable insights that drive data-driven decision-making. Moreover, this innovative approach not only accelerates regulatory approvals and enhances market access strategies but also improves treatment outcomes by identifying patient subgroups that benefit most from targeted therapies. Additionally, advanced analytics and predictive modeling enable the optimization of clinical strategies, paving the way for personalized healthcare solutions that keep pharma businesses competitive in a rapidly evolving market.

Section 1Evidence Based Decision Making
Lecture 1Evidence Based Decision Making | Combine evidences for decision making | Do we need more evidence? 
Lecture 2RWE and RWD
Lecture 3RWE in lifescycle management
Lecture 4RWD and RWE - Fit to use | Assessment 
Lecture 5RWD data sources | Different types | Detailed understanding of each class 
Lecture 6RWE - Study Design
Lecture 7RWE - Published Tool
Lecture 8RWD Study Design
Lecture 9Healthcare Reimbursement Models : Value Based Care | Fee for Service (FFS) Model | Other Reimbursement Models
Lecture 10HEOR Consensus Narrative Review 
Lecture 11Electronic Patient Data | EMR | EHR | Differences | Software architecture and characteristics
Lecture 12Active Surveillance Schemes | Active Case Finding |Sentinel Surveillance | Cohort Studies | Vaccine Safety Surveillance | Pharmacovigilance Programs | Disease Registries |Event Monitoring
Lecture 13RWD Characteristics
Lecture 14RCT vs. RWE Comparison | Case Based Analysis
Lecture 15RCT and RWE Comparison
Section 2Working on Real World Datasets
Lecture 16Introduction to Healthcare Datasets
Lecture 17Dataset 1: Claims Data (Insurance)
Lecture 18Dataset 2: Retail Pharmacy Prescription Data
Lecture 19Dataset 3: Longitudinal Patient Data
Lecture 20Characteristics of Different Set of Healthcare Data
Lecture 21Reimbursement and Pricing Datasets
Lecture 22RWE Data Sources & Quality Considerations Checklist | Case Based Analysis
Lecture 23Triangulation and benchmarking | Enhancing Data Validation Through Cross-Referencing
Lecture 24Access to RWD & RWE Case Database
Lecture 25Working on Real World Dataset | Data Crunching | Reprocessing and Validation of Data | Outcome of Data Analysis
Section 3Course Certification