Every healthcare research team is familiar with this challenge. A study calls for a narrow slice of professionals or providers: people with direct experience treating a specific patient population, familiarity with a specific care pathway, availability inside a fielding window that’s already tight. The default move is to widen outreach and screen hard. That approach burns time, fractures goodwill with respondents who get screened out, and could potentially allow for participants that may be more persistent than they are qualified.
A recent recruit took a different path. A client needed a highly specific HCP audience on an accelerated timeline, and traditional screening alone wasn’t going to get there. The team used claims data within Inlightened’s HCP profiles to pinpoint providers with the right experience, patient volume, treatment exposure, and specialty relevance, identifying and qualifying the right experts before a single outreach email went out.
What the claims data actually assessed:
This data matters, because it’s the difference between a self-reported specialty tag and evidence that a provider is actively doing the work a study requires.
The results:
The bigger shift is where the qualification work happens. Most recruitment answers “does this person qualify” during screening, after outreach has already gone out to a wide, unvetted list. This approach answers that question before outreach starts, so screening becomes a confirmation step instead of a filter working overtime.
Claims-based insights like these are what let a project team move on speed and specificity at the same time. If your research depends on finding clinical providers or healthcare professionals who genuinely match a narrow profile, and you’re working against a timeline that doesn’t leave room for trial and error, this full case study walks through how the targeting, screening, and monitoring came together.
Need to reach a highly targeted healthcare audience on a compressed timeline? Reach out at hello@getinlightened.com.