Cancer patients can present with an uncommon set of disease characteristics, and traditional bodies of evidence often provide limited insight for estimating outcomes. However, with the increased collection of demographic, disease, and outcomes data, it is possible to build simplistic data visualization tools which give clinicians and researchers the ability to examine trends in oncologic outcomes for specific sub-populations of interest. 

The Breast Cancer Outcomes Dashboard is a proof of concept software designed to demonstrate the utility of giving end-users (i.e. oncologists) the ability to select cohorts of breast cancer patients and view their survival outcomes. In other words, it is an offshoot project meant to create a tool that allows non-technical users (such as physicians) the ability to select cohorts of patients from within our 5-year data set and have survival statistics (among other data) calculated for them on the fly. The current dashboard includes parameters such as: Age of diagnosis, Diagnosis Date, Cancer Site, TNM Staging, Histology, etc. Certain parameters can have multiple items selected (i.e. various T stages). Each parameter can be selected independently, and for up to two cohorts. Queries are then built for each cohort, and a Kaplan-Meier survival curve is created for both populations. The curves include censoring of patients (based on 10 year survival). A log rank chi square test is performed to compare the significance of the two curves, and is presented as a P-value. 

In future, we plan to expand this tool to include datasets for other cancers, with new data being automatically imported every 6 months.