Why 'good enough' data is risky
Real World Data (RWD) is increasingly being incorporated into healthcare and life science research...
Can you trust AI for RWE? HealthVerity eXOs validation study says yes
Artificial intelligence is moving quickly into healthcare research, but one question still comes...
The role of real-world data in advancement of Alzheimer’s treatments
One in nine Americans age 65 and older has Alzheimer’s disease (AD), a devastating illness that...
What The Pitt gets right about AI and clinical notes
In Season 2 of The Pitt, Dr. Santos accepts an AI-drafted clinical note and moves on. It’s one of...
Why diagnosis codes alone fall short for long COVID surveillance
When our client, a global pharmaceutical company, set out to better understand long COVID pathways,...
GenAI vs. Agentic AI: The difference for real-world evidence
AI is playing a growing role in real-world evidence, but not all AI serves the same purpose. Two...
Why RWE programs fail under regulatory scrutiny — and what leaders can do about it
FDA has made its expectations for RWE clearer and more structured through recent guidance and...
The Missing Pieces: How Rare Disease Diagnoses Come Together
Rare diseases may be individually uncommon, but collectively they affect an estimated 30 million...
Disrupting Healthcare Audiences: A new standard for precision and accuracy
"Healthcare audience targeting has changed fast, and expectations have climbed even faster." As...
.png)
Building guardrails for AI-driven real-world data programs
AI is rapidly reshaping how real-world data (RWD) is generated and analyzed across healthcare...