How Research Is Personalized
[SCREENSHOT — Insights page showing a card grid of insight cards]
- Overview
- Your Practice Profile
- How Your Peer Group Is Constructed
- How the System Selects What to Surface
- What Personalization Does Not Include at Launch
- Related Articles
Overview
Insights surface patterns in your practice relative to peers in your specialty. The data comes from real-world claims and helps reveal trends in care delivery, treatment patterns, and practice behavior.
Your Practice Profile
Jiro identifies you by your NPI and queries real-world data to build a practice profile specific to you. That profile reflects:
- Your specialty — Self-selected in your profile.
- Your patient population — The diagnoses, demographics, payer mix, and volume of patients attributed to your care. Interest areas in your profile help surface relevant Insights when data is limited.
- Your therapeutic focus — The medications you prescribe and the procedures you perform. Interest areas help surface relevant Insights when treatment data is limited.
Each insight you see connects to at least one of the following personalization dimensions:
- Direct practice findings — Patterns from your own clinical activity.
- Population-relevant findings — Patterns relevant to your patient population or clinical focus, based on diagnoses and treatments common in your practice.
Each Insight includes a comparator that provides clinical context. Comparators are drawn from your specialty trends, state averages, or national benchmarks—selected to match your practice profile.
[SCREENSHOT — an example insight card showing its comparator level and clinical focus label]
How Your Peer Group Is Constructed
When an insight involves a peer comparison, your peer group is drawn from providers who match your practice profile across multiple dimensions. The peer pool is limited to the top 200 providers meeting the following criteria:
- Same self-selected specialty.
Other aspects are used as needed within the specific Insight:
- Same state, based on your patients' location — not your practice address
- Similar patient panel
- Similar practice volume
- Similar practice setting (hospital-based versus office-based)
- Similar patient acuity, including age distribution and comorbidity burden
Each insight that includes a peer comparison identifies the peer group used.
[SCREENSHOT — drill-down drawer showing a peer group description within an insight]
How the System Selects What to Surface
Not every pattern in your fields reaches the Insights feed. Before a finding is surfaced, it passes the following filters:
Finding a potential Insight. Identifying patterns within your peer group that are relevant to your clinical practice—such as diagnoses, treatments, or patient populations you manage.
Analysis. Findings undergo rigorous analysis to ensure clinical relevance and exclude predictable trends or well-established clinical knowledge.
Key Message. The core clinical message is extracted from the data.
Creating the Insight. The Insight is drafted with supporting evidence, literature, and data available in the detailed view.
Minimum patient count. A finding will not appear for patient groups smaller than 11.
Deduplication. Each Insight is distinct. Duplicate findings on the same clinical topic with the same comparison are excluded.
Comparable time periods. Trend comparisons use equivalent periods (for example, Q1 versus prior-year Q1) to avoid surfacing seasonal variations.
What Personalization Does Not Include at Launch
At launch, all physicians see the same Insights feed without specialty filtering. Specialty-based filtering is planned for a future release.
Related Articles
Version History & Approval
Updated: 5/7/2026
Reviewed by: Joel Bourgeois, Sr Product Support
Approved by: [Name, Title]