How to evaluate cost data for HEOR and real-world evidence studies
Most teams planning a total cost of care or burden of illness study assume the cost data will be...
Know what others can’t: Real-world data gaps holding commercial teams back
The therapeutic market that you know is shaped by the healthcare data that you can see. But when critical medical, specialty, clinical or longitudinal signals are absent from that view, the picture (and the decisions based on it) is less clear. ...
Open claims data explained: Benefits, limitations and real-world use cases
Know what open claims data can reveal and when it’s the right starting point for research Adding...
From AI ambition to real world impact
Know what others can’t about scaling AI Artificial intelligence is already embedded in how life...
Know what others can’t: Real-world data gaps holding commercial teams back
The therapeutic market that you know is shaped by the healthcare data that you can see. But when...
What's hot in HealthVerity Marketplace: New sources expand what you can know
Most life sciences teams don't have a data shortage. They have blind spots such as patients who...
What 250 validation runs reveal about agentic AI in real-world evidence
Stress-testing a research question Every technology vendor claims their product works. The question...
SDoH data for efficient, patient-centered clinical trials
The social determinants of health (SDoH) are a key component of understanding and delivering better...
The future of multiple sclerosis: Progression focused therapies and RWE
Multiple sclerosis (MS) is a chronic autoimmune disease affecting the central nervous system (CNS)...
Connecting healthcare data to digital campaigns: Solving the attribution challenge
Launching a pharmaceutical marketing campaign takes months of planning, creative development and...
Mitigating data disruptions in open claims datasets
Healthcare data now accounts for approximately 30% of global data volume and with this surge in...