⚠️ AI-Assisted Second Opinion Discrepancy Flagging Simulator

The Physician Forms a Judgment First, Unprompted by the Model

Clinical judgment is recorded before any AI input is seen.

• Physician first: Assessment order (no AI exposure yet)
• ~4–8 min: Case intake time (placeholder estimate)
• Blinded: Bias control (prevents anchoring on AI)
• Locked record: Documentation (timestamped before AI run)

Why independence is recorded before anything else

Physician reasoning is captured first so it stays uninfluenced.

What counts as a locked initial assessment

A short structured summary: impression, confidence, next step.

The AI Reviews the Same Case Without Seeing the Physician's Call

The model generates its own read, blind to the human opinion.

• Same case data: Input parity (identical inputs both sides)
• No physician input: Model exposure (prevents anchoring either way)
• Structured summary: Output format (impression + confidence score)
• Seconds: Latency (placeholder estimate)

Symmetry between the two independent reviewers

Same case, same data, two separate and un-linked opinions.

Why the AI opinion is not shown first

Showing it first risks priming the physician's own read.

Placing Two Independent Opinions Next to Each Other

A structured diff highlights where the two assessments align.

• Structured fields: Comparison basis (impression, severity, next step)
• Magnitude of gap: Diff metric (placeholder scoring method)
• Both sides shown: Visibility (after both are locked)
• Rule + model assisted: Automation (placeholder detail)

How the comparison step actually works

A gap score measures how far apart the two opinions sit.

What the comparison does not decide

It flags difference only — it does not pick a winner.

Classifying Each Case as Aligned or Meaningfully Different

A threshold separates trivial wording gaps from real disagreement.

• Gap under threshold: Agreement rule (placeholder rule)
• Gap over threshold: Discrepancy rule (placeholder rule)
• Adjustable: Threshold tuning (strict vs lenient setting)
• Reviewed manually: Edge cases (placeholder detail)

Setting the discrepancy threshold in practice

Strict settings flag more cases; lenient settings flag fewer.

Why classification is a separate, explicit step

Making the split explicit keeps downstream handling auditable.

Agreement Reinforces Confidence; Discrepancy Triggers Reconciliation

Neither opinion automatically overrides the other on disagreement.

• Proceed, reinforced: Agreement outcome (both readings align)
• Reconciliation triggered: Discrepancy outcome (placeholder detail)
• Review, consult, testing: Reconciliation options (placeholder detail)
• Neither side automatic: Override policy (human stays in the loop)

What structured reconciliation actually involves

Additional review, specialist consult, or further testing ordered.

Why override-by-default is deliberately avoided

Neither the physician nor the AI is treated as final.