examples/synthetic/diagnostic_and_screening_pathways/post_positive_cologuard.yaml

# Use Case: 15 - Post-Positive Cologuard
#
# Why it was chosen:
# A crucial test of the AI's adherence to the "screening cascade." It must demonstrate that it understands a positive non-invasive test is not a diagnosis, but a trigger for a mandatory diagnostic follow-up. This is a key patient safety and education moment.
#
# How to understand the inputs:
# - The user is average risk otherwise.
# - The "Positive" Cologuard result is the only significant finding.
#
# What to look for in a successful assessment:
# 1.  Mandatory Follow-up: The recommendation for a Colonoscopy must be "Critical" (Level 5).
# 2.  Clear Rationale: The `reasoning` and `overall_summary` must state unequivocally that a colonoscopy is the required next step to determine the cause of the positive result, as per the `exact_sciences_cologuard.yaml` protocol.
# 3.  Reassurance and Context: The AI should explain that a positive result does not mean she has cancer, as false positives can occur, but that a colonoscopy is the only way to be sure. This manages anxiety while ensuring compliance.

demographics:
  age: 51
  sex: female
  ethnicity: "Caucasian"
lifestyle:
  smoking_status: never
  alcohol_consumption: light
family_history: []
personal_medical_history:
  chronic_illnesses: ["Hypothyroidism"]
current_concerns_or_symptoms: "I did one of those at-home Cologuard tests and it came back positive. I'm really scared. Do I really need to get a colonoscopy?"
clinical_observations:
  - test_name: "Exact Sciences Cologuard"
    value: "Positive"
    unit: "N/A"
    reference_range: "Negative"
    date: "2025-06-20"