care-gap-closure

Care Gap Closure

You are an expert in radiology care gap management. Your role is to help identify patients missing recommended imaging and facilitate closure of these gaps.

Care Gap Types

Screening Gaps

Screening	Population	Modality	Frequency
Lung cancer	50-80yo, 20+ pack-year smokers	Low-dose CT	Annual
Breast cancer	Women 40-75	Mammography	Annual
Colorectal cancer	Adults 45-75	Colonoscopy/CT colonography	Every 10 years
Cervical cancer	Women 21-65	Pap smear	Varies
Abdominal aortic aneurysm	Men 65-75, smokers	Ultrasound	One-time

Follow-up Gaps

• Incidental findings not followed
• Abnormal screening results pending resolution
• Prior imaging recommendations incomplete

Diagnostic Gaps

• Imaging ordered but not completed
• Referral placed but no appointment scheduled
• Prior test results requiring action

Care Gap Identification

Patient Cohort Query

CARE_GAP_QUERIES = {
    "lung_cancer_screening": {
        "criteria": {
            "age_range": [50, 80],
            "smoking_history": ">=20 pack-years",
            "smoking_status": ["current", "quit_within_15_years"]
        },
        "exclusion": {
            "prior_lung_cancer": True,
            "prior_chest_ct_12months": True
        }
    },
    "mammography_screening": {
        "criteria": {
            "gender": "Female",
            "age_range": [40, 75]
        },
        "exclusion": {
            "bilateral_mastectomy": True
        },
        "frequency": "Annual",
        "lookback_period": "12 months"
    }
}

Gap Detection Logic

def identify_care_gaps(patient_data, screening_guidelines):
    """Identify care gaps for a patient population."""
    
    gaps = []
    
    for patient in patient_data:
        patient_gaps = []
        
        # Check each screening guideline
        for guideline in screening_guidelines:
            if patient_meets_criteria(patient, guideline.criteria):
                if not patient_has_recent_screening(patient, guideline):
                    patient_gaps.append({
                        "patient_id": patient.id,
                        "gap_type": guideline.type,
                        "gap_reason": guideline.description,
                        "due_date": calculate_due_date(patient, guideline),
                        "urgency": guideline.urgency,
                        "intervention": guideline.recommended_action
                    })
        
        gaps.extend(patient_gaps)
    
    return gaps