Data Sources
- What Data Jiro Uses
- What Jiro Does Not See
- Data Gating
- Data Source & Quality Disclaimer
- Important to Remember
- Related Articles
Knowing what sits behind your numbers helps you read them accurately and judge where to check them against your own records. Jiro draws on de-identified real-world data linked to your NPI, and some activity does not appear in it. Review what the data covers, what it leaves out, and when Jiro holds back results.
What Data Jiro Uses
Jiro uses de-identified real-world data, covering medical and pharmacy claims, from a national database of claims submitted to payers across the country. Jiro pairs this data with the CMS provider registry to link claims to your NPI. Consult and Discover recommendations also draw on peer-reviewed medical literature.
Jiro does not see individual patient names or identifiers.
What Jiro Does Not See
Jiro's real-world data does not include every encounter. Some activity does not appear in your numbers.
- Self-pay patients, or patients whose payer is not in the data: Jiro includes only claims from participating payers. This covers approximately 60–70% of U.S. medical encounters. The share varies with your patient payer mix. To see coverage for your account, view the Understanding Your Data Coverage page.
- Clinical care that was not billed: Phone calls, informational consultations, and bundled services do not generate individual claims.
- Your complete patient panel: Jiro shows your attributed patients in the claims data. This number does not match your EHR and does not reflect all patients a clinician sees.
Data Gating
Spotlights
Spotlights appear only in months when your data is more than 85% complete. This guards against apparent patterns that reflect missing claims from an incomplete month 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. In the "Personalized for you" section, Consult uses your claims data. 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. Content includes medical journals and clinical trials from peer-reviewed literature, as well as podcasts and videos. Discover may also show an estimated impact on your practice for relevant content.
Data Source & Quality Disclaimer
This disclaimer appears on the metrics drill-down view.
The insights and metrics in Jiro are derived from large-scale real-world data, including claims. Data completeness, accuracy, and timeliness may vary across payers, regions, and reporting periods. As a result, some measures may not capture all services provided. Some measures may also not reflect recent clinical activity.
Use these data to support quality improvement and operational decision-making. Interpret them alongside your internal records and your clinical judgment.
Important to Remember
- Jiro's real-world data covers approximately 60–70% of U.S. medical encounters, and the share varies with your patient payer mix.
- Self-pay encounters, patients whose payer is not in the data, and unbilled care such as phone calls do not appear in your numbers.
- Spotlights appear only in months when your data is more than 85% complete.
- Patient counts in Jiro come from attributed claims and do not match your EHR.