Effective use of quality control processes represents a challenge for many laboratories. This session will present a risk-based quality control process that can be taught and implemented without mentioning statistics, probabilities or Q.C. rules. This process is driven by two decisions: 1) limits of medically-allowable error and 2) required action when an unacceptable number of patients are exposed to risk. Faculty will describe software that collects appropriate data and applies the necessary statistical calculations and algorithms to alert staff when defined risk limits are reached.