How Research Is Personalized
- Overview
- Your Practice Profile
- How Your Peer Group Is Constructed
- How The System Selects What To Surface
- What Research Does Not Include At Launch
- Related Articles
Overview
Research surfaces 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 Research when data is limited.
- Your therapeutic focus: The medications you prescribe and the procedures you perform.
Each Research card 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 Research card 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.
How Your Peer Group Is Constructed
When a Research card 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 Research card :
- 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 Research card that includes a peer comparison identifies the peer group used.
How The System Selects What To Surface
Not every pattern in your fields reaches the Research feed. Before a finding is surfaced, it passes the following filters:
Finding a potential Research card. 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 Research card. The Research card is drafted with supporting evidence, medical literature, and real world claims data. Additional information is available in the detailed view of a Research card.
Minimum patient count. A finding will not appear for patient groups smaller than 11.
Deduplication. Each Research card 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 Research Does Not Include At Launch
At launch, all physicians see the same Research feed without specialty filtering. Specialty-based filtering is planned for a future release.