How Research Works
Purpose
This article describes how Research is generated, from data collection through delivery, and explains where the underlying data comes from.
How It Works
Data Collection
When you join Jiro, your NPI is used to identify relevant real-world data attributed to you, including medical encounters, prescriptions, diagnoses, and procedures.
Data Validation & Preparation
Incoming data from you and thousands of your peers goes through a quality review before it is used in any calculations.
Standardization
Raw data is mapped to a consistent clinical data model. This ensures that codes, categories, and identifiers are interpreted uniformly across your patient population and peer groups.
Pattern Analysis
Data is analyzed within your peer group and clinical area to identify meaningful patterns, trends, and signals within your practice. De-identified peer data may be incorporated for comparison purposes.
Prioritization & Relevance Filtering
Research is designed to be actionable, surfacing findings that are one to two steps from a clinical decision. Relevance filters ensure that what surfaces are appropriate to your specialty and practice context.
Output & Delivery
Research appears as cards within the Research module. Each card displays the finding, clinical context, and supporting data.
Data Sources & Timing
Where The Data Comes From
- Medical claims data attributed to your NPI
- De-identified peer data used for comparison
How Often It Updates
- Research refreshes on a biweekly basis.
Important To Remember
- Claims data has an inherent lag, typically around 6 months. Research reflects historical activity rather than real-time clinical practice. Recent activity may have gaps that could affect the Research’s scope or direction.