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Single-Lesion Skin Cancer Risk Stratification Triage Pathway
Yiqun Chen1, Haiwen Gui2, Hanqi Yao2
1Department of Biomedical Data Science, Stanford University, Stanford, California.
JAMA Dermatology
|June 26, 2024
Summary
A new rules-based triage system improved skin cancer risk stratification and reduced wait times for high-risk patients. This automated pathway expedited care, potentially improving patient outcomes and resource allocation in dermatology clinics.
Area of Science:
- Dermatology
- Health Informatics
- Quality Improvement
Background:
- Timely dermatologic care is crucial for new skin lesions.
- Efficient triage pathways can improve resource allocation and reduce wait times.
Purpose of the Study:
- To evaluate a rule-based triage system for skin cancer risk stratification.
- To assess the impact of the system on patient wait times.
Main Methods:
- Retrospective quality improvement cohort study (November 2017-January 2023).
- Implementation of a rules-based triage system for high-risk lesions.
- Analysis of referral reasons, risk factors, and biopsy outcomes.
Main Results:
- The rules-based pathway expedited care for high-risk patients (26-day reduction).
- Patients seen through the pathway had higher risk of malignant biopsy results (aRR, 1.6) and melanoma (aRR, 2.0).
- Clinician concern for skin cancer correlated with increased malignancy risk.
Conclusions:
- An automated, rules-based referral pathway expedited care for high-risk skin cancer patients.
- This system improved patient stratification and reduced wait times while maintaining diagnostic accuracy.
- Findings suggest optimizing resource allocation through better patient risk stratification.
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