Use case · Pre-launch
Meet your patients before the protocol locks.
Size the population, find where the need is, and test your clinical assumptions against how treatment actually runs. Long before anyone asks you for a dossier.
See what’s in the data →Why pre-launch RWE
Feasibility gets sharper with a whole history.
Linked records across every provider a person has seen, with the notes intact and the between-visit experience alongside them. Enough depth to plan a programme on.
What you get
Four things you can do before you file.
Size the population that actually exists
Run your inclusion and exclusion criteria against linked records across every provider a person has seen, in one linked history.
See where treatment is already failing
Discontinuation, switching, and the stretches where nobody billed for anything. With the reason the person gave, in their words.
Test your endpoints on real people
Check whether the thing you plan to measure is something patients notice and report, before it becomes the endpoint you defend.
Hand HEOR something they can model on
Cost-effectiveness inputs, adherence estimates and comparator arms, ready before the pricing conversation starts.
Where teams use it
Seven jobs this does before approval.
Feasibility and cohort sizing
HEOR · Clinical developmentUnmet need and care-gap mapping
Medical AffairsEndpoint selection against what patients report
Clinical developmentSynthetic comparator arms
BiostatisticsCost-effectiveness model inputs
HEORSubgroup identification for access strategy
Market AccessIRB-ready datasets for external research
RWE
Have a different question? Send it. We’ll show you what the data can do with it before you spend anything.
Send us the protocol synopsis.
We’ll size the population and show you exactly what the data supports, before you commit to anything.