Real-World Evidence: Methodologies for Integrating Real-World Data into Clinical Research Frameworks
Related Experiment Video
Updated: Jan 15, 2026

A Metadata Extraction Approach for Clinical Case Reports to Enable Advanced Understanding of Biomedical Concepts
Published on: September 20, 2018
Sachin Kale1, Arvind Vatkar2, Ojasv Gehilot1
1Department of Orthopaedics, Dr D Y Patil School of Medicine, Nerul, Navi Mumbai, India.
Abstract:
Real-world evidence (RWE), derived from real-world data (RWD), is transforming clinical research by complementing traditional randomized controlled trials. With diverse data sources such as electronic health records, patient registries, and wearable devices, RWE offers insights that reflect everyday clinical practice. Despite challenges like unstructured data, bias, and privacy concerns, advances in artificial intelligence, machine learning, and data standardization enable meaningful analysis. Regulatory frameworks, including India's Digital Personal Data Protection Act, reinforce ethical use of patient data. By refining methodologies and fostering collaboration, RWE provides valuable evidence for regulatory decisions, personalized medicine, and enhanced patient care outcomes.
More Related Videos
11:21Methodology for Establishing a Community-Wide Life Laboratory for Capturing Unobtrusive and Continuous Remote Activity and Health Data
Published on: July 27, 2018
06:05The Participant-Reported Implementation Update and Score PRIUS: A Novel Method for Capturing Implementation-Related Data Over Time
Published on: February 19, 2021
Related Concept Videos
Clinical Trials
There are four phases in a clinical trial. A phase one...
Study Designs in Epidemiology
Observational studies are those where the researcher does not intervene but rather observes natural variations. They include cross-sectional, cohort, and...
Types of Biopharmaceutical Studies: Controlled and Non-Controlled Approaches
Non-controlled studies, commonly employed for initial exploration, lack a control group, rendering them susceptible to biases and external influences. In contrast,...
Statistical Software for Data Analysis and Clinical Trials
Strategies for Assessing and Addressing Confounding
Confounding can be addressed at both the design phase of a study and through analytical methods after data...
Data Collection by Experiments
An example of the experimental method is a public...