Initial findings from fusion using severity concepts in CAPER data yielded sharp alerting reduction from pure algorithmic methods, with a timeliness loss of 1 day in 2 known outbreaks, no days in 4 others. The alert reduction was dramatic in datasets from small facilities, typically reducing the alert rate from 20 per year to below 5. In larger facilities, the reduction was less dramatic but often over 50%. Time series chosen from the laboratory test and GCN groupings were tested using additional known outbreaks. Results of fusing all algorithmic output streams will be presented.