University of Twente Student Theses
Discrepancies in neuroradiology : How to explain and minimize discrepancies based on the experience and expertise of radiologists?
Degger, C.M.H. (2019) Discrepancies in neuroradiology : How to explain and minimize discrepancies based on the experience and expertise of radiologists?
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| Abstract: | Purpose: Diagnostic errors often cause patient harm, due to delayed, incorrect or missed diagnoses. Radiologists’ contribution is probably substantial, because diagnoses are often based on medical imaging. Discrepancy is a proper term for supposed errors or observer variation in radiology. This study aims to analyse neuroradiological (head and neck) discrepancies made by supervised or unsupervised radiology residents, to identify improvement and educational opportunities to reduce future discrepancies. Methods: Out of 17,385 neuroradiological imaging studies assessed and reported by radiology residents, 88 neuroradiological discrepancies were found and analysed. The Dutch ZiekenhuisGroep Twente gathered data for this retrospective quantitative descriptive study, between April 2017 and March 2019. Radiology residents can follow the five-year training program in this hospital. Subgroup analysis was performed, divided by supervision or not, including variables like setting and imaging modality. Results: Discrepancies occur without supervision (64,8%). Discrepancy rates are high in MRI-scans (13; 0.73%), the emergency (58; 0.54%) and outpatient setting (20; 0.64%). The 0.5% (88/17,385) aggregate discrepancy rate for radiology residents, is lower compared to literature (2.0–2.7%). Conclusions: Future research must confirm whether the supervision and competence levels within the Dutch radiology training plan (CORONA) offer improvement and educational opportunities, for radiological departments and national guidelines. |
| Item Type: | Essay (Master) |
| Clients: | ZiekenhuisGroep Twente, Hengelo, Nederland Maatschap Radiologie Oost Nederland, Hengelo, Nederland |
| Faculty: | TNW: Science and Technology |
| Subject: | 44 medicine, 70 social sciences in general, 81 education, teaching |
| Programme: | Health Sciences MSc (66851) |
| Link to this item: | https://purl.utwente.nl/essays/78817 |
| Export this item as: | BibTeX EndNote HTML Citation Reference Manager |
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