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RTT_MEDICAL_SYNTHESIS_v1.json

RTTcode Signature — Medical Synthesis Operator#


This is the final RTTcode signature in the medical module — the contract that defines how all upstream operators (metadata, drift, substrate, regime, continuity) are fused into a drift‑bounded, regime‑aware, patient‑safe synthesis.

This file must be:

  • operator‑first
  • minimal and canonical
  • zero‑drift
  • machine‑readable
  • aligned with the tri‑regime medical module
  • consistent with the structure of your other RTTcode signatures

Below is the drop‑in ready JSON for:

RTT_MEDICAL_SYNTHESIS_v1.json

{
  "rttcode_version": "1.0",
  "operator": "MEDICAL_SYNTHESIS_OPERATOR",
  "module": "medicine",
  "purpose": "Integrate continuity, metadata, drift, substrate, and regime packets into a drift-bounded, regime-aware, patient-safe medical synthesis.",
 
  "inputs": {
    "continuity_packet": "RTT_MEDICAL_CONTINUITY_v1",
    "metadata_packet": "RTT_MEDICAL_METADATA_v1",
    "drift_packet": "RTT_MEDICAL_DRIFT_v1",
    "substrate_packet": "RTT_MEDICAL_SUBSTRATE_v1",
    "regime_packet": "RTT_MEDICAL_REGIME_v1",
    "raw_content": "multi-regime, multi-snapshot, multilingual medical pages"
  },
 
  "outputs": {
    "synthesis_packet": {
      "stable_elements": "list",
      "unstable_elements": "list",
      "regime_specific_elements": {
        "clinical": "list",
        "ai_augmented": "list",
        "public_health": "list"
      },
      "drift_sensitive_elements": "list",
      "substrate_risks": "list",
      "continuity_kernel": "list",
      "uncertainty_flags": "list",
      "escalation_indicators": "list"
    },
    "synthesis_summary": "patient_safe_natural_language_summary",
    "synthesis_score": "float_0_to_1",
    "synthesis_flags": [
      "high_regime_divergence",
      "high_drift_risk",
      "substrate_interference_detected",
      "translation_instability_detected",
      "ai_generated_instability_detected",
      "continuity_kernel_weak"
    ]
  },
 
  "synthesis_logic": {
    "align_structures_across_regimes": true,
    "remove_drift_sensitive_elements": true,
    "preserve_continuity_kernel": true,
    "separate_regime_specific_elements": true,
    "evaluate_substrate_risks": true,
    "compute_synthesis_score": true,
    "generate_patient_safe_summary": true,
    "scoring_method": "weighted_coherence_across_regimes"
  },
 
  "regime_profiles": {
    "clinical_regime": {
      "notes": "Cleveland Clinic baseline; conservative, stable, explicit escalation logic."
    },
    "ai_augmented_regime": {
      "notes": "Ping An high drift; AI overlays, translation variance, commercial layers."
    },
    "public_health_regime": {
      "notes": "NHS clarity-first; standardized escalation rules, extremely low drift."
    }
  },
 
  "flags": {
    "high_regime_divergence": "boolean",
    "high_drift_risk": "boolean",
    "substrate_interference_detected": "boolean",
    "translation_instability_detected": "boolean",
    "ai_generated_instability_detected": "boolean",
    "continuity_kernel_weak": "boolean"
  },
 
  "safety": {
    "patient_safe_output": true,
    "no_medical_advice": true,
    "escalation_indicators_required": true,
    "uncertainty_disclosure_required": true,
    "regime_difference_disclosure_required": true
  }
}

✔️ What This RTTcode Signature Achieves#

This is the capstone contract for the medical module. It defines:

1. The full synthesis pipeline#

  • ingest all upstream packets
  • align structures across regimes
  • remove drift
  • preserve continuity
  • classify regime‑specific differences
  • evaluate substrate risks
  • generate a patient‑safe summary

2. The synthesis packet#

A structured, machine‑readable output containing:

  • stable elements
  • unstable elements
  • regime‑specific elements
  • drift‑sensitive elements
  • substrate risks
  • continuity kernel
  • uncertainty flags
  • escalation indicators

3. Safety requirements#

  • no medical advice
  • uncertainty disclosure
  • escalation indicators
  • regime difference disclosure

4. Regime‑aware reasoning#

It encodes the structural logic of:

  • US clinical
  • China AI‑augmented
  • UK public‑health

This is the operator that makes the module coherent.

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