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Example: automated diagnostic triage system

A biotech or healthcare system uses automation to assist with diagnostic triage. The system:
  • ingests lab results and patient data
  • applies rules and model outputs
  • produces a recommendation (e.g. “urgent review” or “normal”)

Flow

  1. The system fetches lab or sensor data from external systems
  2. Data is processed by an AI model or rules engine
  3. A recommendation is produced
  4. A human or downstream system reviews or acts on it

Where Prado is used

  • HTTP runtime
    • Records external data sources (lab APIs, reference databases)
  • JS / Python runtime
    • Records deterministic rules or thresholds
    • Example: escalation logic, safety checks

What Prado proves

  • What data was used to make the recommendation
  • What logic was executed
  • What output was produced
  • That the evidence was not modified later

What Prado does NOT prove

  • That the diagnosis is correct
  • That the model is medically valid
  • That the outcome is optimal

Why this matters

In regulated environments, teams must explain decisions after incidents occur. Prado provides an audit trail of execution, without claiming medical correctness.