Medical Report Explainer
Transform complicated laboratory jargon into patient-friendly explanations with reference ranges and clear questions to ask their doctor.
The Problem
What difficult challenge is this experiment tackling?Patients receive lab reports with technical jargon like "Mean Corpuscular Hemoglobin Concentration" and search Google, triggering panic and catastrophic self-misdiagnosis.
The Hypothesis
What do I believe autonomous AI & engineering can accomplish?An objective terminology translation pipeline can explain what terms mean in plain language and supply thoughtful questions for the patient’s next doctor visit.
System Architecture & Workflow
End-to-end design, data pipelines, and component interactionBenchmark & Empirical Metrics
Accuracy • Latency • Cost • Token Usage • Human InterventionReading grade level reduced from 16th (Postgrad) to 7th grade; 100% boundary compliance rejecting requests for self-treatment.
Security, Privacy & Ethical Guardrails
Risk mitigation, strict boundaries, and sandbox controlsProminent red alert disclaimer on every card: "Informational vocabulary aid only. Never stop or start medication without your physician."
Lessons Learned & Observations
Empirical findings from prototyping and testingEstablished prompt guardrails rejecting speculative diagnostic questions from users.
Next Experiment Iteration
Upcoming modifications, scaling factors, or new hypothesesTranslate clinical terminology into regional Indian languages (Hindi, Marathi, Telugu).