Best Healthcare Data
Providers

How to choose a healthcare data provider

Healthcare data is deeply segmented by use case. The right provider depends on whether you're targeting HCPs for pharma sales, running real-world evidence studies, tracking patient journeys, or doing payer analytics. Here's how to pick:

If · You need HCP targeting for pharma sales

IQVIA (enterprise scale), Alpha Sophia (AI-native, mid-market), or H1 (global KOL coverage beyond US). For contact data specifically: Heartbeat.ai has the best HCP cellphone/email coverage.

If · You're doing real-world evidence or patient journey analytics

Komodo Health (330M+ patient journeys), PurpleLab (300M+ journeys with EHR integration), or TriNetX (federated network with 180+ healthcare orgs for clinical trial recruitment).

If · You're selling medical devices

AcuityMD is purpose-built for medtech with procedure-level physician data. Better fit than the pharma-oriented giants.

If · You need pharma CRM + commercial operations

Veeva is the category king. Vault for regulatory, CTMS for trials, CRM for field teams. Deep but pricey.

If · You're an indie researcher or budget-constrained team

Mimi Labs at $120/year provides access to 50+ CMS/CDC/FDA/NIH datasets with natural language querying. Or use the public NPI registry + CMS Open Payments directly (both free).

If · You need literature or patent intelligence for R&D

Clarivate owns this space (Web of Science, Cortellis). Competitors like Elsevier Embase exist but Clarivate is the standard.

Public alternatives: Don't overlook free public datasets: NPI Registry (every US healthcare provider), CMS Open Payments (manufacturer-HCP payments), FDA FAERS (adverse events), ClinicalTrials.gov, Medicare Part D Prescriber data. Mimi Labs aggregates these but you can access directly.

Compliance note: Any commercial provider handling PHI must provide a HIPAA BAA. IQVIA, Komodo, TriNetX, PurpleLab, and Veeva all sign BAAs. Ask upfront — smaller providers may not be set up for it.