Comparison-Bot: an Automated Preliminary-Final Report Comparison System
| Autor: | Ross W. Filice, Amit D. Kalaria |
|---|---|
| Rok vydání: | 2015 |
| Předmět: |
Health Information Exchange
Medical Records Systems Computerized Computer science Radiology workflow Dashboard (business) Article 030218 nuclear medicine & medical imaging 03 medical and health sciences 0302 clinical medicine Preliminary report Humans Radiology Nuclear Medicine and imaging Performance measurement Medical education Radiological and Ultrasound Technology Descriptive statistics business.industry Internship and Residency Finalization Data science Computer Science Applications Radiology Information Systems 030220 oncology & carcinogenesis Radiology information systems business Radiology Quality assurance |
| Zdroj: | Journal of digital imaging. 29(3) |
| ISSN: | 1618-727X |
| Popis: | Regular comparison of preliminary to final reports is a critical part of radiology resident and fellow education as prior research has documented substantial preliminary to final discrepancies. Unfortunately, there are many barriers to this comparison: high study volume; overnight rotations without an attending; the ability to finalize reports remotely; the subtle nature of many changes; and lack of easy access to the preliminary report after finalization. We developed a system that automatically compiles and emails a weekly summary of report differences for all residents and fellows. Trainees can also create a custom report using a date range of their choice and can view this data on a resident dashboard. Differences between preliminary and final reports are clearly highlighted with links to the associated study in Picture Archiving and Communication Systems (PACS) for efficient review and learning. Reports with more changes, particularly changes made in the impression, are highlighted to focus attention on those exams with substantive edits. Our system provides an easy way for trainees to review changes to preliminary reports with immediate access to the associated images, thereby improving their educational experience. Departmental surveys showed that our report difference summary is easy to understand and improves the educational experience of our trainees. Additionally, interesting descriptive statistics help us understand how reports are changed by trainee level, by attending, and by exam type. Finally, this system can be easily ported to other departments who have access to their Health Level 7 (HL7) data. |
| Databáze: | OpenAIRE |
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