Data Sources
- Overview
- What Data Jiro Uses
- Data Quality: Spotlights & Incomplete Months
- What Jiro Does Not See
- Consult & Discover
- Related Articles
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.
Data Quality: Spotlights & Incomplete Months
Spotlights (automatic alerts in Practice) only surface from months where your data is >85% complete. Why? If data is incomplete, an apparent "pattern" might reflect missing claims rather than a real clinical finding.
If a recent month shows no Spotlights, data is still being received and processed. Check back after claims have had time to arrive. To learn more about data claims lag timelines, view the Time & Refresh Cadence page.
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
Consult & Discover
Consult answers clinical questions using medical literature and guidelines. It does not access your patient data or claims history. Discover recommends articles based on your specialty, also sourced from peer-reviewed literature.