01
Priority architecture
Findings can be ordered by intended response and timing, with safety-sensitive logic separated from general education.
Professional pathway
From raw laboratory results to a clearer clinical conversation.
HealthRadar is being developed to support clinician-supervised laboratory workflows. It organizes findings by priority and pattern, keeps clinical content traceable, and produces distinct patient and professional views.
Definedreviewed clinical content
Traceableversioned outputs
Organizedpriorities and patterns
Clinician-supervisednot autonomous care
Product model
Designed around repeatability rather than improvisation.
HealthRadar is not simply software that writes about laboratory data. Clinically important messages follow reviewed, tested, and versioned rules and are presented differently to patients and professionals.
02
Pattern synthesis
Related analytes can be organized into clinically meaningful patterns while retaining source values and context.
03
Clear limits
The system should identify findings it cannot support, missing context, non-comparable data, and uncertain interpretations instead of silently smoothing them over.
04
Separate audiences
Patient education and professional review are different communication tasks and should not be collapsed into one generic narrative.
05
Versioned content
Clinical messages and rules can be tied to identifiable releases, tests, and change records.
06
Workflow integration
The long-term product model can support DPC, concierge, primary care, telehealth, laboratory, and clinical-content workflows.
Research program
What happens when frontier LLMs interpret the same laboratory case?
The HealthRadar Yardstick program studies consistency, urgency, uncertainty, safety-netting, and data discipline in patient-facing laboratory interpretations produced by frontier language models.
HealthRadar’s rules-based output serves as a fixed developmental reference—not as proof of clinical perfection. Methods, limitations, and results are published as the work develops.
Evaluation dimensions under study
- Appropriate urgency and action framing
- Safety-netting and uncertainty
- Data fidelity and unsupported inference
- Pattern recognition and prioritization
- Reproducibility across repeated runs
Potential pilot settings
Start small, supervised, and measurable.
The near-term path is a small, supervised professional pilot—not autonomous consumer diagnosis. Candidate workflows can be evaluated for usefulness, burden, safety, and willingness to pay before broader deployment.
DPC and concierge medicine
Pre-visit organization and patient education under direct clinician oversight.
Primary care and telehealth
Structured follow-up communication after routine laboratory testing.
Clinical content and laboratory partners
Reviewed explanation layers embedded into existing reporting or education workflows.
Professional inquiry
Interested in evaluating a clinician-in-the-loop workflow?
HealthRadar welcomes focused discussions with clinical practices, researchers, medical writers, laboratory organizations, and health-technology collaborators.