Development of an Indexed Integrated Neuroradiology Reports for Teaching File Creation

摘要

The decrease in reimbursement rates for radiology procedures has placed even more pressure on radiology departments to increase their clinical productivity. Clinical faculties have less time for teaching residents, but with the advent and prevalence of an electronic environment that includes PACS, RIS, and HIS, there is an opportunity to create electronic teaching files for fellows, residents, and medical students. Experienced clinicians, who select the most appropriate radiographic image, and clinical information relevant to that patient, create these teaching files. Important cases are selected based on the difficulty in determining the diagnosis or the manifestation of rare diseases. This manual process of teaching file creation is time consuming and may not be practical under the pressure of increased demands on the radiologist. It is the goal of this research to automate the process of teaching file creation by manually selecting key images and automatically extracting key sections from clinical reports and laboratories. The text report is then processed for indexing to two standard nomenclatures UMLS and RADLEX. Interesting teaching files can then be queried based on specific anatomy and findings found within the clinical reports.