Breast Care Cycle: Abnormal results: Breast Cancer Diagnostics Evaluation Algorithms
Algorithms are systematically developed decision points based on scientific data and professional consensus, and visually guide the clinician.
- Use a stepwise, branching approach to guide practice that is based on screening and diagnostic results and patient characteristics;
- Promote "if, then" decision-making so that the clinical pathway can adapt to a variety of test results;
- Allow for clinician assessment to affect decision points along a "branching logic" tree; and
- Are useful when clinical judgments determine different choices in clinical pathways.
Benefits of Algorithms
By using consensus-driven clinical pathways, clinicians minimize their professional liability. The overall benefits include:
- An efficient way to incorporate accumulated scientific knowledge into daily practice;
- Adherence to standard guidelines by using algorithms that are kept current through regular revision;
- Improvement of quality of care by reducing missed diagnoses; and
- Efficient use of valuable health resources.
Although the benefits of using algorithms appear straightforward, not all clinicians use them regularly. Some perceived barriers are related to clinic management systems and others are related to clinician attitudes and historical practice.
Go to the 2015 National Comprehensive Cancer Network (NCCN) Clinical Practice Guidelines for Breast Cancer Detection, Prevention and Risk Reduction or with NCCN permission click pdfs below:
-Click image below to access pdf guidelines-