Investigation: the health insurance industry is working with data brokers to collect “lifestyle” details on hundreds of millions of Americans to predict costs
To an outsider, the fancy booths at last month's health insurance industry gathering in San Diego aren't very compelling.
Context & Ripple Effects
This investigation lands at the start of a paper trail the coverage has been accumulating ever since: health insurers sourcing 'lifestyle' signals from the same broker market that sells to campaigns and law enforcement. The structural problem it exposes — brokers operating outside health-privacy law because they buy from app makers and retailers rather than doctors — is exactly what later reporting confirmed, when a study found 11 brokers selling Americans' mental health data sourced from apps.
The accountability side was already visible too: Vermont's attempt to force brokers to register produced mostly inaccurate filings, showing states had little visibility into who sells what. And the pattern crossed sectors — UK investigators later found Biobank shared volunteers' health data with insurance companies despite pledging not to, suggesting insurers' appetite for predictive data is not an American anomaly.
First-order effects
- Insurers gain underwriting inputs on hundreds of millions of people that never pass through medical records, so pricing decisions can reflect app usage and purchasing habits consumers never consented to share with their insurer.
- App makers and retail-data sellers become de facto health-data suppliers, monetizing behavioral signals into the insurance supply chain without any clinical relationship to the people described.
Second-order effects
- State-level transparency efforts like Vermont's broker-registration law face pressure to cover what brokers actually sell and to whom, since registration alone has not produced accurate disclosure.
- The same broker inventory serves multiple buyers — campaigns buying comprehensive voter profiles and ICE building dossiers via brokers — meaning any regulatory fix aimed only at insurers leaves the underlying resale market intact.
Third-order effects
- If the pattern holds, health underwriting converges with consumer surveillance: the binding constraint on premiums shifts from medical claims history to whatever behavioral data is legally purchable, widening the gap between health-privacy law and broker practice.
- Consumer-facing privacy laws of the kind that forced brokers like Sift and Kustomer to disclose lifetime-value estimates point toward a regime where individuals could demand access to the profiles priced against them — but only if such laws reach the health-insurance use case.
The trend: Institutional decision-making — insurance pricing, policing, campaigning — is being rebuilt on data-broker infrastructure faster than state transparency rules can map who sells what to whom.