In medical research, the traditional data collection way, i.e. to browse patient files, has proven to introduce bias, errors, human labor and cost. We propose a semi-automated system able to extract every type of data, including notes. The Smart Data Extractor pre-populates clinical research forms following rules. We performed a cross-testing experiment to compare semi-automated to manual data collection. 20 target data had to be collected for 79 patients. The average time to complete one form was 6’81’’ for manual data collection and 3’22’’ with the Smart Data Extractor. Also, errors were more numerous during manual data collection (163 for the all cohort) than with the Smart Data Extractor (46 for the all cohort). We present an easy to use, understandable and agile solution to complete clinical research forms. It reduces human effort and provides higher quality data, avoiding data re-entry and fatigue induced errors.