Data Mining Longitudinal Clinical Data to Detect Adverse Drug Events

The proposed program will develop a data mining tool to detect both known and unknown safety signals in the CHCS databases. The proposed program will accomplish this through careful, innovative data preparation (code mapping, redundancy removal), advancedscreening algorithms, user-friendly interface and cognitive report displays. The overall goal is to provide an active surveillance system that can detect unknown adverse events, monitor known adverse events and report ADEs in a timely fashion so that thephysicians can rapidly access information which serves as an alert or reminder in their practice so the soldiers using drugs or vaccines can receive the appropriate risk management and care.At the conclusion of Phase I we will deliver to OSD a prototype system (ADE-Discovery) that demonstrates the feasibility of detecting both known and unknown safety signals in the CHCS database.