Data for healthcare analytics

Healthcare analytics studies providers, treatments, costs and outcomes for pharma companies, payers, health systems and investors. Because health information is highly sensitive, the data used must be aggregated or properly de-identified.

Healthcare provider data lists physicians, hospitals and clinics with specialties, affiliations and locations, which supports market access, network analysis and field force planning. De-identified claims data shows treatments, procedures and costs across large populations without identifying patients. Clinical trial data covers trial designs, sponsors, sites and results, which informs competitive intelligence and trial planning.

A typical workflow

1. Frame the question, such as treatment patterns or market access gaps.
2. Select provider, claims or trial data that covers the relevant population.
3. Link data at the right level, typically provider or region rather than patient.
4. Validate findings with clinical and commercial experts.

What to check before you buy

Ask how de-identification was performed and certified, what population and payer mix the claims represent, how often provider records are verified and what linkage is permitted. Confirm compliance with health privacy laws in your markets and the licence restrictions on re-identification.