CUSUM, a statistical process control technique, has already been tested as a tool for interpreting hospital and general practice mortality rates. Here, its potential for more general applications in quality monitoring is demonstrated using routinely collected prescribing data. Such data contain valuable information about changes in clinical practice and CUSUM charts, when coupled with the idea of removing time trends and extraneous variation by reference to average behaviour, can provide a simple but effective technique for extracting it.