When billed and allowed amounts aren’t enough: HealthVerity proprietary market cost offering in taXonomy
A better way to measure healthcare costs in closed claims data This is the second post in our...
The Missing Pieces: How Rare Disease Diagnoses Come Together
Rare diseases may be individually uncommon, but collectively they affect an estimated 30 million people in the United States. Yet for many patients, the path to diagnosis spans years, sometimes decades. Symptoms appear one at a time. Specialists...
Does your data link?
How clinical data linkage closes evidence gaps in real-world data Clinical data linkage helps...
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...
Inside taXonomy, a next-gen closed claims solution for real-world evidence generation
Healthcare claims data are one of the most powerful sources of data in generating real-world...
Rethinking healthcare audience targeting for data-driven precision
Why healthcare marketers need more transparency in audience targeting Healthcare marketers are...
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...