OBJECTIVE: To investigate the utilization of text mining technique for evaluating the informational quality of electronic mammographic reports considering adherence to the BI-RADS® lexicon as a quality parameter. MATERIALS AND METHODS: A total of 22,247 mammography reports of the period between January, 2000 and June, 2006 were collected from the radiology information database of Hospital das Clínicas da Faculdade de Medicina de Ribeirão Preto, SP, Brazil. Two experiments were undertaken - experiment 1 to evaluate the accuracy in the adoption of the lexicon terms (text mining method specificity), and experiment 2 to identify all and any attempt to utilize or refer to the lexicon (text mining method sensitivity). RESULTS: Experiment 1: variation between 11% and 61% in reports including lexicon terms in their conclusion, randomly distributed over time since 2001. Experiment 2: variation between 44% and 100% in reports that somehow refer to the lexicon in their conclusion. CONCLUSION: Results indicate a good potential for text mining tool application for assessing the quality of information included in electronic mammography reports.
Mammography; BI-RADS; Information theory; Medical information technology
