⚡ INDIA'S FIRST COMPREHENSIVE PROGRAM ON RWE ⚡ 

Mastering Real-World Data (RWD) & Real-World Evidence (RWE) - OHDSI Data-to-Evidence Journey

Transform Healthcare Data
into Actionable Insights

A first-of-its-kind structured online training program designed to help healthcare professionals, researchers, data scientists, public health experts, pharma professionals, and institutions master Real World Data (RWD), Real World Evidence (RWE), and the OMOP Common Data Model through expert-led learning and practical implementation.

Worth  Rs:79,999
🎓 100% Scholarship for Selected Participants

Apply NOW

Limited Time 

11
Days
00
Hours
35
Minutes
42
Seconds
16 Modules Expert-Led Curriculum
30+ Hours Practical Learning
Hands-On OHDSI Training
Global Faculty Industry Experts
Capstone Mentor Guided Project
Certificate Completion Credential
OUR PARTNERS
Our Partners & Ecosystem Collaborators
Built through collaboration between global healthcare organizations, academic institutions, technology leaders, industry partners, and the OHDSI community driving Real-World Data (RWD), Real-World Evidence (RWE), OMOP CDM, and healthcare analytics adoption.
Founding Organizations
GVW
Founding Organization
Janssen
Founding Industry Partner
JSS AHER
Academic & Research Partner
Ecosystem Partners
BGS Medical College & Hospital
Medical Education & Healthcare Partner
EPAM
Technology & Data Science Partner
Sumptuous
Industry Collaboration Partner
Health Parliament
Healthcare Innovation Partner
L&T
Technology & Infrastructure Partner
I-AIM
AI & Informatics Partner
Ashoka University
Academic & Research Partner
THE CHALLENGE
India Generates Billions of Healthcare Data Points Every Day. Why Is It Still So Hard to Turn Them into Actionable Evidence?
Healthcare organizations collect massive volumes of clinical, administrative, and research data every day. Yet most organizations struggle to transform that data into actionable evidence and real-world insights that improve patient outcomes and decision-making.
Fragmented datasets
Limited analytics capabilities
Poor interoperability
Regulatory compliance challenges
Lack of standardization
Difficulty generating real-world evidence
⚠ Without standardized healthcare data, valuable insights remain hidden, research becomes difficult to scale, and organizations struggle to generate reliable Real-World Evidence (RWE).
⚠ Fragmented Data Sources
🏥 EHR
💊 Pharmacy
🧪 Laboratory
📄 Claims
📋 Registry
🔬 Genomics
⌚ Wearables
↓
✓ Standardized Through OMOP CDM
OMOP Common Data Model Architecture
WHAT YOU'LL DO
Learn the Global Standard for Healthcare Data & Evidence Generation
This program equips you with practical skills to transform healthcare data into research-ready datasets and generate evidence that supports better healthcare decisions.
🗂️
Standardize Healthcare Data
⚙️
Implement OMOP CDM
🔧
Use OHDSI Tools
👥
Build Patient Cohorts
🔍
Conduct Observational Studies
📈
Generate Real-World Evidence
✅
Ensure Data Quality & Governance
PROGRAM DIFFERENTIATORS
Why This Program Stands Out
🌐

Global Faculty

Learn directly from internationally recognized experts from academia, healthcare, and industry including OHDSI leaders and pharma professionals.

🧪

Hands-On Learning

Work with OHDSI tools, healthcare datasets, ETL workflows, and cohort studies using real-world data environments.

💼

Industry-Relevant Skills

Master real-world skills used in hospitals, pharma, public health, and research organizations globally.

🏆

Capstone Project

Apply your knowledge through a mentor-guided project demonstrating healthcare data standardization and evidence generation.

🚀

Career Advancement

Build in-demand skills for opportunities in healthcare analytics, RWE, health informatics, pharma, and clinical research.

🏥

Healthcare-Focused Curriculum

Designed specifically for healthcare professionals, researchers, data scientists, and healthcare organizations.

PROGRAM STRUCTURE
A Structured Learning Journey
16 Modules. 6 Learning Phases. One Transformation.
💡
PHASE 1
Foundations of RWD & RWE
Introduction to RWE Landscape and India Context
Modules 1–2
⚙️
PHASE 2
OHDSI & OMOP Implementation
CDM Understanding and Technical Setup
Modules 3–4
🗃️
PHASE 3
Data Harmonization & Quality
ETL, Vocabulary Management, DQD & ACHILLES
Modules 5–8
📊
PHASE 4
Healthcare Research & Analytics
Cohort Design, Population Studies & ATLAS
Modules 9–14
🛡️
PHASE 5
Governance & Compliance
India's DPDP Act and Health Data Governance
Module 15
🏆
PHASE 6
Capstone Project
Simulating a Real OHDSI Study End-to-End
Module 16
FULL CURRICULUM
What You'll Learn
Explore all 16 modules designed to take you from the foundations of Real-World Data (RWD) and Real-World Evidence (RWE) through OMOP CDM implementation, data standardization, healthcare analytics, observational research, governance, and a hands-on OHDSI capstone project.
💡
Foundations
1
Introduction to RWD & RWE
2
Real World Data Landscape in India
⚙️
OHDSI & OMOP
3
Understanding OHDSI & OMOP CDM
4
OHDSI Technical & Institutional Setup
🗃️
Data Standardization
5
Mapping Healthcare Data to OMOP CDM
6
ETL for OMOP CDM using PostgreSQL
7
Vocabulary Management & Standardized Terminologies
8
Data Quality Assessment (DQD & ACHILLES)
9
Handling Real-World Healthcare Data Challenges
📊
Analytics & Research
10
Real World Evidence Use Cases in Healthcare
11
Hands-on OHDSI Tools: ATLAS, ACHILLES & CohortDiagnostics
12
Characterization Study & Cohort Design
13
Population-Level Estimation Studies
14
Patient-Level Prediction Studies
🛡️
Governance
15
India's DPDP Act & Health Data Governance
🏆
Hands-On Project
16
Capstone Project: Simulating a Real OHDSI Study End-to-End
MEET YOUR INSTRUCTORS
Learn from Global Experts in Real-World Data & Evidence
Our faculty bring together expertise from academia, industry, healthcare, research, and global initiatives to deliver world-class learning experiences.

Patrick Ryan

VP
Johnson & Johnson

Parthiban S D

VP- Innovation & Growth GVW Technologies

Dr.Vikram Patel

Prof & Dy Dean Research
JSS Academy Of Higher Education And Research

Tathagata bhattacharjee 

Popoulation Health Scientist
London School of Hygiene & Tropical Medicine

Darya Zhukova

Consultant, Data Analytics Consulting EPAM Systems

Dr. Kavita Lamror

Partner, RWE & Digital Transformation Maxis Clinical Sciences

Dr. Swetha Kiranmayi Jakkuva

Service manager
GVW Technologies 

Bagmisikha Puhan

Partner
Puhan and Puhan LLP

Jack Murphy

Scientific Curation Specialist
 EPAM Systems

Vipina Keloth

Associate Research Scientist
 Yale Biomedical Informatics and Data Science

Dr. Sajjan Madappady

Lead Scientific Curation Specialist
 EPAM Systems

WHO SHOULD ATTEND
Built for Healthcare & Data Professionals
Designed for professionals across healthcare, research, pharmaceuticals, life sciences, public health, academia, government, and technology who want to build expertise in Real-World Data (RWD), Real-World Evidence (RWE), OMOP CDM, and the OHDSI ecosystem.
👨‍⚕️

Healthcare Professionals

Doctors, clinicians, nurses, pharmacists, healthcare administrators, and allied health professionals seeking to leverage healthcare data for evidence-based care.

🔬

Researchers & Public Health Experts

Clinical researchers, epidemiologists, public health professionals, health economists, and observational study teams conducting real-world studies.

📊

Data Analysts & Data Scientists

Healthcare analysts, biostatisticians, data scientists, machine learning professionals, and healthcare informatics specialists.

💻

Data Engineers & IT Professionals

Data engineers, database administrators, software developers, healthcare IT teams, and interoperability specialists.

💊

Pharmaceutical & Life Sciences Teams

Medical affairs, HEOR, RWE, pharmacovigilance, clinical development, market access, and pharmaceutical industry professionals.

🏢

CROs & Research Organizations

Contract Research Organizations, evidence generation teams, analytics providers, healthcare consulting organizations, and outsourced research groups.

🎓

Academicians & Students

Faculty members, postgraduate students, residents, fellows, PhD scholars, and future healthcare innovators.

🏛️

Government & HealthTech Organizations

Government agencies, healthcare regulators, payer organizations, digital health startups, HealthTech companies, and policy makers.

TOOLS & PLATFORMS
Master the OHDSI Ecosystem
Gain hands-on experience with the complete OHDSI ecosystem used globally for healthcare data standardization, vocabulary mapping, cohort design, observational studies, data quality assessment, and real-world evidence generation.
Observational Health Data Sciences & Informatics
📦
HADES
Health Analytics Data-to-Evidence Suite with OHDSI R Packages
🌐
ATLAS
Real-time analytics, cohort design and observational research platform
📚
ATHENA
Standardized vocabularies and concept management platform
✅
DQD
Data Quality Dashboard for healthcare data validation
📊
ACHILLES
Data characterization, visualization and profiling
Mapping, Vocabulary Alignment & ETL Design
LEARNING OUTCOMES
What You Will Be Able To Do
Gain practical skills to drive real impact in your organization or career through healthcare analytics, observational research, and evidence generation.
⚙️
Implement OMOP CDM
🔧
Use OHDSI Tools
👥
Build Patient Cohorts
🔍
Conduct Observational Studies
📈
Generate Real-World Evidence
✅
Ensure Data Quality
🛡️
Comply with Governance & Privacy
💡
Support Evidence-Based Decisions
FREQUENTLY ASKED QUESTIONS
Got Questions?
Everything you need to know before enrolling in the Real-World Data & Evidence Generation Program.
Healthcare professionals, researchers, data scientists, data analysts, data engineers, IT professionals, pharmaceutical professionals, CRO teams, academicians, students, public health professionals, government organizations, HealthTech companies, and anyone interested in Real-World Data (RWD), Real-World Evidence (RWE), OHDSI, and OMOP CDM can enroll.
No. The program is designed for both technical and non-technical participants. While basic familiarity with healthcare data is a must as its a advanced level training, extensive programming knowledge is not required. The course includes guided demonstrations and practical hands-on sessions.
Yes. Participants who successfully complete the course requirements and capstone project will receive a Certificate of Completion.
Yes. Participants will receive access to session recordings, presentation slides, templates, and additional learning resources through the learning platform.
You will receive extended access to recordings, templates, supporting materials, and learning resources after the live sessions are completed.
Yes. The program includes practical OHDSI tool demonstrations, OMOP CDM implementation exercises, cohort design activities, observational research workflows, and a mentor-guided capstone project simulating a real-world OHDSI study.

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