Data Sources


Overview

Jiro uses de-identified, aggregated healthcare claims data combined with peer-reviewed medical literature to surface patterns in your practice. This page explains what data sources feed Jiro, why recent data appears incomplete, and how to interpret trends accurately.


What Data Jiro Uses

Jiro accesses de-identified claims data (medical and pharmacy) from a national database of claims submitted to payers across the country. This data is paired with the CMS provider registry to link claims to your NPI and peer-reviewed medical literature for Consult and Discover recommendations.

All data reaches Jiro de-identified and aggregated. You never see individual patient names or identifiers.


What Jiro Does Not See

  • Self-pay patients or patients whose payer is not in the claims database: Jiro accesses only claims flowing through participating payers. Coverage is approximately 60 to 70% of U.S. medical encounters (varies by your patient payer mix). For account-specific coverage, see Understanding Your Data Coverage In Jiro.
  • Clinical care that was not billed: Phone calls, informal consultations, and bundled services do not generate separate claims
  • Your full patient panel: Jiro shows your attributed patients in the claims database, not all patients you see

Data Gating

Spotlights

Spotlights only surface in months where a user's data is above 85% complete, to provide a guardrail against apparent patterns that may simply reflect missing claims from incomplete months rather than a clinical finding. Check back after claims have had time to arrive.

Consult

Consult answers clinical questions using medical literature and guidelines, and tailors its responses to your specialty. Consult uses your claims data in the "Personalized for you" section, so that portion of the response can reflect your own patient population and practice patterns rather than general literature alone.

Discover

Discover uses your claims data to recommend content tailored to your specialty, including medical journals and clinical trials sourced from peer-reviewed literature, as well as podcasts and videos. It may also show an estimated impact on your practice for relevant content.


Data Source & Quality Disclaimer

The insights and metrics presented in this product are derived from large-scale claims data and other third-party data sources. Data completeness, accuracy, and timeliness may vary across payers, regions, and reporting periods. As a result, certain measures may not fully capture all services provided or reflect real-time clinical activity. These data are intended to support quality improvement and operational decision-making, and should be interpreted in the context of your internal records and clinical judgment.


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