RadStation is a digital dictation system having an integrated display of clinical information. The three-tiered system architecture provides robust performance, with most information displayed within one second after a request. The multifunctional client tier is a unique client/browser hybrid. A Web browser display window functions as the client application's data display window for clinical information, radiology reports, and laboratory and pathology results. RadStation provides a robust platform for digital dictation functionality. The system's internal status checks ensure operational integrity in a clinical environment. Also, the programmable dictation microphone and bar-code reader supplant the mouse as the system's primary input device. By merging information queries into existing work flow, radiologist's interpretation efficiency is maintained with instant access to essential clinical information. Finally, RadStation requires minimal training and has been enthusiastically accepted by our radiologists in an active clinical practice.
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Diagn Cytopathol
December 2024
Institute of Pathology, Faculty of Medicine, University of Ljubljana, Ljubljana, Slovenia.
Introduction: Standardized pathology reports enhance completeness and readability, contributing to the overall improvement in the management of patients. The standardization of urine cytology reporting has gained widespread acceptance with the use of the Paris system (TPS) for reporting urinary cytology, primarily focused on detecting high-grade urothelial carcinoma (HGUC). The next phase at the Institute of Pathology, Medical Faculty, University of Ljubljana, was the implementation of TPS, including standardized additional findings on non-neoplastic changes, into a software-based standardized structured reporting (SBSSR) system.
View Article and Find Full Text PDFEur J Radiol
January 2025
School of Medicine and Health, Department of Diagnostic and Interventional Radiology, Klinikum rechts der Isar, TUM University Hospital, Technical University of Munich, Ismaninger Str. 22, 81675 Munich, Germany.
Purpose: Large language models (LLMs) promise to streamline radiology reporting. With the release of OpenAI's GPT-4o (Generative Pre-trained Transformers-4 omni), which processes not only text but also speech, multimodal LLMs might now also be used as medical speech recognition software for radiology reporting in multiple languages. This proof-of-concept study investigates the feasibility of using GPT-4o for automated voice-to-text transcription of radiology reports in English and German.
View Article and Find Full Text PDFSeveral studies have shown that children with dyslexia (DYS), in addition to their reading and spelling deficits, encounter handwriting difficulties that are still poorly understood in terms of their nature and origin. The present study aimed to better understand the handwriting difficulties of children with DYS by comparing their handwriting quality and speed in two tasks, a dictation task and an alphabet task, which required fewer spelling skills than the dictation task. Twenty-nine French-speaking children (M = 9.
View Article and Find Full Text PDFmBio
April 2024
Life and Health Sciences Research Institute (ICVS), School of Medicine, University of Minho, Braga, Portugal.
J Am Med Inform Assoc
April 2024
Digital Technology Services, Intermountain Health, Salt Lake City, UT 84120, United States.
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