Personalized Chat & Context

[SCREENSHOT — Consult chat interface showing a response with the Personalization section visible, alongside the Guidelines and Literature Review sections]

Purpose

This document explains how Jiro contextualizes Consult responses using your practice data and peer cohort data — and what to expect when that data is limited.

What Personalization Means in Consult

Consult structures every response in three sections: Guidelines, Literature Review, and Personalization. The first two sections surface evidence-based clinical guidance applicable across physicians. The Personalization section contextualizes the response for your specific practice — drawing on your clinical history and peer cohort data to frame the answer in terms relevant to how you practice.

Two physicians in different specialties or practice settings asking the same clinical question receive the same guidelines and literature, but distinct Personalization sections grounded in their respective practice data.

[SCREENSHOT — example Consult response showing the three-section structure, with the Personalization section highlighted]

What Drives Your Personalization

The Personalization section draws on two sources:

Real-world data tied to your NPI is the primary input. Jiro uses your practice history — diagnoses, procedures, prescribing patterns — to ground the response in your actual clinical behavior. A question about medication selection, for example, may reference how you have managed similar patients and how the literature can directly apply to your patient cohort , rather than returning a generic evidence summary alone.

Aggregated peer cohort data adds a comparative layer. Where available, Consult surfaces de-identified, aggregated data showing how clinicians in your specialty, region, or practice setting approach the same clinical scenario — allowing you to place your own practice patterns in context.

[SCREENSHOT — Personalization section of a Consult response, showing practice-specific context and peer cohort reference]

Peer Cohort Charts

In some responses, peer cohort data surfaces as an embedded chart alongside the text summary. These charts display aggregated data — for example, medication utilization rates by dosage across a peer cohort — and are intended to support clinical trends and interpretation at a glance.

Chart availability varies by account and session. When charts are not present, the text-based Personalization section continues to reflect your NPI-level practice context.

[SCREENSHOT — example Consult response with an embedded peer cohort chart showing utilization data]

When Personalization Is Limited

Personalization in Consult scales with the quality and completeness of your available practice data — it is not an on/off state.

When Jiro has comprehensive real-world data for your NPI, Consult responses reflect your individual practice patterns. When data coverage is lower, responses fall back progressively to less specific sources:

  • Medium coverage: Responses are personalized using your available data
  • Low coverage: Personalization draws on specialty-level or location-level context rather than your individual NPI data.
  • No data (new NPI or resident): Consult provides clinical guidance grounded in guidelines and literature. The Personalization section reflects specialty-level real-world data charts only.

In all cases, Consult continues to deliver clinically relevant responses. Coverage limitations are disclosed transparently within the response.

[SCREENSHOT — example Consult response with a low-coverage inline caveat in the Personalization section]

Important To Remember

  • Peer cohort data surfaced in Consult responses are aggregated and de-identified. Individual patient data is never included in peer comparisons.
  • If your practice spans multiple locations or specialties, personalization reflects the real-world data associated with your NPI on file.
  • Peer cohort chart availability may vary. If a chart is absent from a response, the Personalization section text remains active and reflects your NPI-level context.

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Version History & Approval

Updated: 5/9/2026

Reviewed by: Nikhil Illa, Director of Clinical Product

Approved by: [Name, Title]

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