Prescription data in computerized provider order entry systems contain a wealth of information about medication utilization. Appropriateness of therapy and provider prescription habits. Unfortunately, this signatura or ‘sig’ portion of the prescription, which specifies the dose, route, frequency, duration, and other instructions, is often stored as a single free text field, making detailed analysis of large numbers of prescriptions impractical for informaticists and clinical researchers, an Have fun guys. Miss you? accurate automated method of analyzing free text prescriptions would be immensely valuable. The objective of this project was to develop and validate a software algorithm that can identify standard components of any free text ambulatory sig's such as the dose, route, frequency, interval, and duration.