Data & Definitions

[SCREENSHOT — the Practice tab, showing metric cards and benchmark indicators as they appear in the product]

Overview
Data Source
Your Patients
Measurement Period
Payer Types
Data Lag
Data Coverage
Peer Benchmarks
Metric Categories
Important To Remember
Related Articles

Overview

Understanding the data behind your metrics helps you interpret what Jiro Health surfaces and use it with confidence. This article defines the key terms and concepts that appear throughout the platform.

Data Source

Jiro Health draws on real-world data — insurance claims submitted by providers and processed by payers across the healthcare system. This is not data you enter or upload. It is derived from claims that already exist in the system, tied to your NPI.

The underlying dataset covers medical claims, pharmacy claims, and patient eligibility records sourced from both open and closed claims networks. Open claims come primarily from clearinghouses and capture activity across multiple payers. Closed claims come from individual insurance plans and capture insured patient activity. Together, these sources provide a broad view of your clinical activity as reflected in the claims record.

Your Patients

Your patients refers to the panel of patients attributed to you based on your NPI appearing on their claims during the measurement period. Attribution is determined by your role on each claim — as the ordering, performing, or rendering physician, depending on the claim type and service context.

Attribution is based on claims data, not on any roster or panel you manage directly. Patients you treated whose claims do not include your NPI — for example, claims billed under a group NPI without individual attribution — may not appear in your attributed panel.

Measurement Period

The measurement period is the time window used to calculate a given metric. Most metrics in Jiro Health use a rolling 12-month measurement period. This means the metric reflects the most recent 12 months of claims data available for your attributed patients, updated as new data arrives.

Some metrics use shorter windows (for example, 7-day or 30-day follow-up rates) that define a specific interval relative to an anchor event, such as a hospital discharge. The measurement period for those metrics is defined within the metric itself and is noted in the metric description.

Payer Types

Metrics and patient data in Jiro Health are stratified by payer type, allowing you to view your practice patterns across different insurance populations:

Commercial — Employer-sponsored and individual market insurance plans.

Medicare — Federal insurance for patients 65 and older and qualifying patients with disabilities. Includes both traditional Medicare and Medicare Advantage plans.

Medicaid — State and federal insurance for qualifying low-income patients. Includes managed Medicaid plans.

Where data are available, you can filter or view metrics separately by payer type. Not all metrics are available for all payer types, depending on data availability for your attributed panel.

Data Lag

Data lag refers to the delay between when a clinical encounter occurs and when the corresponding claim appears in Jiro Health. Claims do not arrive in real time. Typical lag windows are:

Open claims (clearinghouse-sourced): approximately 6–8 weeks from date of service
Closed claims (payer-sourced): approximately 6 months or longer from date of service
QE closed claims: approximately 9 months or longer from date of service
Pharmacy claims: [NEEDS CONTENT: confirm typical lag window]

As a result, recent activity — encounters from the past one to three months — may be underrepresented in your metrics. Metrics are most reliable for activity that occurred more than six months prior to the current date.

Data Coverage

Data coverage refers to the proportion of your total clinical activity that Jiro Health captures in its claims dataset. Because claims reach Jiro Health through specific data partnerships, not all claims submitted under your NPI may be included.

Coverage varies by geography, payer mix, and practice setting. Where coverage is limited, metrics may reflect only a portion of your actual patient activity. [NEEDS CONTENT: confirm which confidence indicators are currently live in the product and describe how they appear alongside metrics]

When coverage is low or unavailable, Jiro Health falls back to specialty- and location-level benchmarks rather than personalized metrics, so you still receive relevant context for your practice.

Peer Benchmarks

Peer benchmarks compare your metric values against other physicians in similar practice contexts. Benchmarks are calculated from the same real-world data that powers your personal metrics, ensuring the comparison population reflects actual practice patterns rather than self-reported or survey-based data.

Benchmark cohorts are defined by specialty and, where sufficient data are available, by practice location. Benchmarks provide context for your own data — they reflect how your practice compares to peers in similar clinical environments, not a performance evaluation.

Metric Categories

Metrics in Jiro Health are organized into seven categories:

Patients — Who are you treating?

Medications — How are you treating patients?

Procedures — How are you treating patients?

Utilization — How are you using resources?

Care Coordination — How are you coordinating your care?

Outcomes — What are your results?

Finance — How much money are you making?

Each metric includes a description, the direction of the preferred outcome (higher or lower), and the benchmark against which your value is compared. For a detailed view of what Metrics fall in each category, visit the Metrics: Overview page.

Important To Remember

Real-world data reflects activity captured in the claims record. Clinical activity that does not generate a claim — such as uncompensated care or out-of-pocket-only encounters — is not reflected in Jiro Health metrics.
Attribution logic follows established industry standards, including HEDIS, CMS, and AHRQ frameworks, adapted for the claim types and data available in the Jiro Health dataset.
Data is refreshed on a regular cadence as new claims become available. [NEEDS CONTENT: confirm refresh frequency]

Version History

Updated: May 8, 2026

Reviewed by: Claude, Help Scout Docs Reviewer

Approved by: Caitlyn Edwards, Head of Communications