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Clinician concordance with a rules-based patient-facing laboratory interpretation system: a pilot review of HealthRadar with HRLens

An exploratory clinician face-validity study of HealthRadar with HRLens found high agreement for clinical reasonableness, diagnostic restraint, and overall interpretation, while identifying urgency and follow-up language as the principal refinement target.

The full manuscript is not currently posted while journal consideration is ongoing.

Study summary

HealthRadar with HRLens is a rules-based, patient-facing laboratory interpretation system designed to translate laboratory results into plain-language explanations, prioritize urgency, and identify clinically coherent patterns without diagnosing disease. In this exploratory clinician face-validity study, 21 external healthcare reviewers assessed HealthRadar/HRLens interpretations across structured laboratory scenarios representing normal findings and selected abnormal patterns.

Across 839 completed Likert ratings, 85.6% were agree or strongly agree. Positive ratings were highest for clinical reasonableness and avoidance of diagnostic overstatement, both 92.9%. Overall agreement with the HRLens interpretation was 91.1%, and suitability for patient-facing communication was 83.9%. Agreement was lower for appropriateness of urgency/follow-up language at 67.1%, identifying urgency and follow-up specificity as a principal refinement area.

Strict pattern concordance was highest for diabetes-range glycemia and renal impairment, each at 95.2%. The inflammatory case showed the clearest urgency discordance: although 85.7% of reviewers selected the intended inflammatory pattern, only 28.6% agreed that the urgency/follow-up language was appropriate.

Key findings

  • 21 external reviewers
  • 839 completed Likert ratings
  • 85.6% agree or strongly agree overall
  • 92.9% clinical reasonableness
  • 92.9% avoidance of diagnostic overstatement
  • 91.1% overall agreement with HRLens interpretation
  • 83.9% suitability for patient-facing communication
  • 67.1% urgency/follow-up appropriateness
  • Inflammatory case
    • 85.7% pattern concordance
    • 28.6% urgency/follow-up appropriateness

Keywords

  • Clinical laboratory information systems
  • Patient portals
  • Consumer health informatics
  • Health communication
  • Clinical decision support systems

Limitations

  • A small exploratory pilot
  • Based on a convenience sample
  • Conducted using simulated laboratory scenarios
  • Designed to assess clinician concordance and face validity
  • Not designed to establish diagnostic accuracy
  • Not designed to establish patient comprehension
  • Not designed to establish clinical outcomes
  • Not designed to establish implementation effectiveness
  • Potentially subject to framing bias because the system developer designed the cases and survey instrument

References

No references listed for this version.

Tags

  • Clinical laboratory information systems
  • Patient portals
  • Consumer health informatics
  • Health communication
  • Clinical decision support systems

Version archive

VersionDateStatusChange
1.0August 31, 2026Manuscript under journal consideration · 2026Initial public abstract-only research entry.
Research and development only: This material is not medical advice and must not be used for medical decisions.