MEDICAL_METADATA_OPERATOR

RTT Operator — Medicine Module#

Substrate • Regime • Drift Sensitivity • Coherence#

Purpose#

The MEDICAL_METADATA_OPERATOR extracts the structural metadata of medical information across different regimes (US, China, UK).
It identifies:

• substrate type
• medical regime
• drift sensitivity
• coherence level
• translation stability
• AI‑augmentation flags
• commercial influence markers

This operator provides the metadata backbone used by all other medical operators.

What This Operator Detects#

1. Substrate Type#

Medical pages vary widely in substrate:

• HTML (Cleveland Clinic, NHS)
• Mobile‑first app substrate (Ping An)
• AI‑generated triage overlays
• PDFs (clinical guidelines)
• Image‑embedded text (common in Chinese medical sites)

The operator classifies substrate as:

• html
• mobile_html
• pdf
• image
• ocr
• mixed

2. Medical Regime Classification#

Each source belongs to a distinct medical regime:

The operator assigns:

• clinical_regime
• ai_augmented_regime
• public_health_regime

3. Drift Sensitivity#

Drift sensitivity is determined by:

• template volatility
• translation variability
• AI‑generated content
• commercial overlays
• mobile‑first redesign frequency

Expected patterns:

• Cleveland Clinic: low drift
• NHS.uk: very low drift
• Ping An: high drift

Drift levels:

• low
• medium
• high

4. Coherence Level#

Coherence measures how internally consistent the medical information is across:

• time
• templates
• languages
• regimes

Coherence levels:

• high
• medium
• low

5. Translation Stability (China‑specific)#

Ping An introduces translation drift:

• Chinese → English
• medical terminology variance
• AI‑generated phrasing

The operator flags:

• translation_stable
• translation_unstable
• translation_high_drift

6. Commercial Influence Markers#

Ping An includes:

• upsells
• telemedicine prompts
• product suggestions

The operator flags:

• commercial_overlay_present
• commercial_overlay_absent

7. AI‑Augmentation Flags#

Ping An’s triage system introduces:

• AI‑generated suggestions
• probabilistic symptom mapping
• dynamic risk scoring

The operator flags:

• ai_generated_content_present
• ai_generated_content_absent

Inputs#

The operator accepts:

• raw medical pages
• multi‑snapshot versions
• multilingual content
• AI‑augmented triage outputs
• public‑health guidance pages

Outputs#

1. Metadata Packet#

A structured JSON‑like output:

{
  "substrate": "html",
  "regime": "clinical_regime",
  "drift_sensitivity": "low",
  "coherence": "high",
  "translation_stability": "translation_stable",
  "commercial_overlay": "commercial_overlay_absent",
  "ai_augmentation": "ai_generated_content_absent"
}

2. Metadata Score#

A 0–1 score indicating metadata stability.

3. Metadata Flags#

Flags for:

• drift risk
• translation instability
• commercial influence
• AI augmentation

Metadata Extraction Algorithm#

1. Identify substrate
   Detect HTML, mobile HTML, PDF, image, OCR, or mixed.

2. Classify regime
   US → clinical
   China → AI‑augmented commercial
   UK → public health

3. Assess drift sensitivity
   Based on template volatility and language stability.

4. Evaluate coherence
   Check internal consistency across sections.

5. Detect translation drift
   Chinese → English variance.

6. Detect commercial overlays
   Ads, upsells, telemedicine prompts.

7. Detect AI augmentation
   Triage suggestions, dynamic scoring.

8. Produce metadata packet
   Structured, stable, RTT‑aligned.

Example (Generic)#

For a Cleveland Clinic page:

substrate: html
regime: clinical_regime
drift_sensitivity: low
coherence: high
translation_stability: translation_stable
commercial_overlay: commercial_overlay_absent
ai_augmentation: ai_generated_content_absent

For a Ping An page:

substrate: mobile_html
regime: ai_augmented_regime
drift_sensitivity: high
coherence: medium
translation_stability: translation_high_drift
commercial_overlay: commercial_overlay_present
ai_augmentation: ai_generated_content_present

For an NHS page:

substrate: html
regime: public_health_regime
drift_sensitivity: low
coherence: high
translation_stability: translation_stable
commercial_overlay: commercial_overlay_absent
ai_augmentation: ai_generated_content_absent

Why This Operator Matters#

Medical information is only as reliable as its metadata.

This operator:

• anchors the entire medical module
• enables drift‑bounded interpretation
• supports cross‑regime comparison
• filters substrate noise
• stabilizes multilingual content
• identifies commercial or AI‑generated distortions

It is the foundation for all downstream medical reasoning.