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eCOA 101: What is Electronic Clinical Outcome Assessment?

In a 2003 BMJ comment article, Ian Kennedy stated, “Patients are experts in their own… experience, feelings, fear, hopes, and desires1.” This quote underscores why it’s so crucial to get direct feedback from patients to truly understand the…

AI in Clinical Data Management: What Does It Do, and How Does It Work?

AI (artificial intelligence) addresses real clinical trial challenges and problems, significantly empowering data managers and other stakeholders. While AI brings transformational benefits, it also stands apart from other technologies, being shrouded…

Challenges & Opportunities in Implementing Generative AI

The Essential 5 Es for Operationalizing AI in Clinical Data Management

Clinical Data Management

An Introduction to Interoperability in Healthcare

Clinical Data Management

Shaping Tomorrow’s Trials: Takeaways from Medidata NEXT New York 2024

Medidata Presents Research at ASH 2024

The Role of Source Data Verification (SDV) and Source Data Review (SDR) in Driving Clinical Trial Data Quality

Clinical Operations

National Breast Cancer Awareness Month: Redefining Hope in HER-2 Low

Diversity in Clinical Trials: FDA Draft Guidance on Diversity Action Plan Requirements

3 Ways to Approach Challenges During Study Feasibility Processes

What’s Driving the Adoption of Clinical Trial to Real-world Data Linkage?

Addressing Data Privacy Concerns in Clinical Development with Synthetic Data

Medidata Promotes World Heart Day 2024

Medidata Platform

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