The New York data startup’s new product lets expert networks and survey panels see prescribing, procedure, and trial activity before they ever contact a physician.
AggKnowledge, the New York-based data enrichment startup serving expert networks and survey panels, has launched a healthcare product it says can answer most of a clinician screener before the screener is ever sent.
The offering, called AggKnowledge Healthcare, enriches the clinician records that expert networks and healthcare survey panels already hold with structured data on hospital and health-system affiliations, prescriptions, diagnoses, procedures, clinical trial involvement, publications, and congress activity. The data is sourced from what the company describes as multiple best-in-class partners, then mapped to standard medical taxonomies and vocabularies so it can be searched and filtered rather than sitting in raw feeds.
The pitch takes aim at a familiar ritual in healthcare research: the screening questionnaire. Before a physician can be booked for an expert call or fielded into a survey, they are typically asked to confirm their specialty, whether they are practicing, how many procedures they perform, and which drugs they prescribe — sometimes whether they are a physician at all.
“The answers are necessary, but asking the questions… not so much,” co-founder Dan Entrup wrote in the launch announcement, listing “Are you a physician?” among the questions he has seen in the wild. (“Wish I was kidding on that one.”)
The company’s argument is that these are facts, not opinions, and facts can be established from data before outreach begins. In Entrup’s example, a client brief asking for ten of the top one percent of Ozempic prescribers would traditionally mean contacting several hundred physicians and disqualifying most of them. With claims- and prescribing-derived signals attached to profiles up front, a network could go to the right ten — or close to it — on the first pass, reserving live questions for what only the respondent can supply: preferences, perceptions, and judgment. Entrup calls the approach “enrichment-first sampling.”
“We’re not just bringing our customers to the starting line,” he wrote. “We’re moving the starting line ahead of their competitors.”
A real pain point
The frustration AggKnowledge is targeting is well-documented. Healthcare provider response rates have been declining for over a decade, and when physicians are asked why they stop participating in research, redundant screening questions and long screeners that end in disqualification rank near the top. The problem is acute enough that a working group of panel companies and research agencies has been developing a standardized “optimized healthcare screener” to stop asking clinicians the same questions across every study. Recruiters describe physicians as the most analyzed and hardest-to-recruit group in market research, with the highest honoraria demands and the steepest screener attrition.
The commercial stakes are meaningful. The expert network industry reached roughly $3 billion in 2025, growing about 12 percent annually, and healthcare is consistently among its largest verticals. For networks and panels, every screened-out physician is paid honoraria, burned goodwill, or both.
Rich clinician data itself is not new. IQVIA’s OneKey, Definitive Healthcare, and H1 have long sold provider-level intelligence built on claims, prescribing records, and publication activity. But those products were built primarily for pharmaceutical sales targeting, commercial strategy, and medical affairs, with enterprise price tags to match. AggKnowledge’s wager is on packaging: aggregating licensed sources into one pipeline, delivered through APIs and webhooks into the recruiting workflows of expert networks and panels — buyers the big healthcare data vendors have not courted directly.
Founders from inside the industry
AggKnowledge was founded in 2023 by three people who have spent their careers on various sides of this problem. Entrup worked at expert networks AlphaSights and GLG before serving as SVP of partnerships at FactSet, where he led content and data acquisition, and later as executive director of data strategy at healthcare distributor Henry Schein. He also writes It’s Pronounced Data, a widely read newsletter covering the information services and research markets. Co-founder Bill Ronkoski was a managing director and divisional head of sales at GLG; co-founder and CTO Jon Zajac led engineering teams at HubSpot, including its payments group, and at Teamshares.
The company’s existing platform enriches professional records with career history, firmographics, contact data, and what it calls “vendorgraphics” — signals about which products and services a person has worked with — for expert networks, survey panels, recruiters, and alumni offices. The healthcare product extends that model into clinical activity, and complements the company’s professional work-experience data, which for life sciences projects can surface pharma, biotech, hospital, and payer executives alongside practicing clinicians.
AggKnowledge is careful to say the product is not meant to replace screeners or expert judgment entirely. The goal, per the announcement, is narrower: stop using screeners to rediscover facts that better data could have established upfront. Whether the industry’s incumbents follow — or whether clinician panels simply demand this as table stakes — the screener as currently practiced looks like it is living on borrowed time.
AggKnowledge Healthcare is available now. More at aggknowledge.ai.
