Research and development site. Synthetic demo only. Do not submit personal health information.
About HealthRadar

Meet the people behind HealthRadar.

HealthRadar was founded by Edward A. Rose, M.D., M.S.A., and Steven E. Rose, Ph.D., M.B.A., to explore a simple but difficult problem: how can laboratory information be made easier to understand without sacrificing clinical discipline?

The initiative

Research and development, with clear boundaries.

HealthRadar is an early-stage research and development initiative focused on rules-based laboratory-result interpretation and clinical-AI evaluation.

Their work combines clinical oversight, laboratory-result communication, product development, and empirical evaluation of HealthRadar and the broader clinical-AI landscape.

“A useful report should not merely sound intelligent. It should be bounded, reproducible, and honest about what it does not know.”HealthRadar development principle
Founder profiles

Co-founders

Co-Founder, HealthRadar

Edward A. Rose, M.D., M.S.A.

Edward A. Rose, M.D., M.S.A., is a medical writer and former family physician with experience translating complex clinical information for patients, clinicians, researchers, regulators, and medical-device organizations. At HealthRadar, he leads clinical governance, development of physician standards, clinical interpretation, and research involving the safety and communication of laboratory information.

Co-Founder, HealthRadar

Steven E. Rose, Ph.D., M.B.A.

Steven E. Rose, Ph.D., M.B.A., contributes to HealthRadar research, including study conception and design, interpretation of findings, manuscript development, and consumer research on how people understand and use laboratory information.

Research practice

How we work

HealthRadar develops clinical rules, tests them against structured cases, documents limitations, and publishes research findings as the work evolves. The goal is not to hide uncertainty, but to make the reasoning, boundaries, and evidence easier to inspect.

Operating principles

What the project is trying to protect.

Clinical boundaries

Do not imply that software has a complete patient history or an independent license to practice medicine.

Traceability

Keep material clinical content tied to identifiable versions, tests, and change records.

Audience separation

Write differently for patients and professionals instead of producing one generic output for everyone.

Transparency

Publish limitations, setbacks, study methods, and corrections alongside favorable findings.