Even a modest improvement in the efficacy of clinical decision making has the potential to significantly improve patient outcomes and reduce healthcare costs. This project will develop a novel decision support system that utilizes both the clinical features and the genomic profile of a breast cancer patient to assist the physician in integrating information about a specific patient (diagnostic subtype, tumor stage and grade, age, comorbidities) to make therapeutic plans for the patient. We call this system A Clinical Decision Support System for Making Personalized Assessments and Recommendations Concerning Breast Cancer Patients (DPAC).
|Effective start/end date||6/1/14 → 5/31/19|
- University of Pittsburgh (0038305 (124684-1) // 5R01LM011663-04)
- National Library of Medicine (0038305 (124684-1) // 5R01LM011663-04)
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