Evaluation of optimal education level to implement structured reporting into ultrasound training

Ernst, Benjamin Philipp and Strieth, Sebastian and Kuenzel, Julian and Hodeib, Mohamed and Katzer, Fabian and Eckrich, Jonas and Bahr, Katharina and Matthias, Christoph and Sommer, Wieland H. and Froelich, Matthias F. and Becker, Sven (2020) Evaluation of optimal education level to implement structured reporting into ultrasound training. MEDICAL ULTRASONOGRAPHY, 22 (4). pp. 445-450. ISSN 1844-4172, 2066-8643

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Abstract

Aims: Reporting of head and neck ultrasound (TINU) has been outlined to be a major obstacle during ultrasound training due to a lack of standardized structure, content and terminology. Consequently, overall report quality differs significantly between various examiners posing a severe risk factor for information loss and misconununication. Therefore, the present study's purpose is to compare the overall quality of free text reports (FTR) and structured reports (SR) of HNU at various stages of training in order to determine the optimal educational level to implement SR. Material and methods: Typical pathologies in HNU were reported upon using SR and FTR by medical students, junior residents and senior residents. The reports were assessed for overall quality, time efficiency and readability. Additionally, user satisfaction was determined using a questionnaire. Results: SRs exhibited a significantly superior report quality (93.1% vs. 45.6%, p<0.001) at all training levels. Overall time efficiency was significantly better for SRs, especially at the stages of medical school and early residency (89.4 S vs.160.2s, p<0.001). Using structured reporting also increased user satisfaction significantly (VAS 8.6 vs. 3.9, p<0.001). Conclusions: Implementing structured reporting of IINU results in a superior report quality at all training stage. Greatest benefits for time efficiency are achieved by implementation during medical school. Therefore, structured reporting of HNU should be Unplemerited early on in the training of HNU.

Item Type: Article
Uncontrolled Keywords: HEAD; MRI; SURGEONS; DISEASE; QUALITY; IMPACT; medical education level; ultrasound training; structured reporting; free text reporting; training elect
Subjects: 600 Technology > 610 Medical sciences Medicine
Divisions: Medicine > Lehrstuhl für Hals-Nasen-Ohren-Heilkunde
Depositing User: Dr. Gernot Deinzer
Date Deposited: 06 Apr 2021 07:31
Last Modified: 06 Apr 2021 07:31
URI: https://pred.uni-regensburg.de/id/eprint/45387

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