Systematic Approach and Tools for Migrating from Text-Based Reports to Structured Reports: Based on the DICOM Structured Reporting Guidelines

Author(s):  
Eduardo Beckhauser ◽  
Vinicius Andreoli Petrolini ◽  
Alexandre Savaris ◽  
Aldo von Wangenheim ◽  
Dirk Krechel
2019 ◽  
Author(s):  
Eduardo Beckauser ◽  
Vinicius Andreoli Petrolini ◽  
Alexandre Savaris ◽  
Aldo Von Wangenheim ◽  
Dirk Krechel

Even with the many advantages of adopting a structured reporting system, there is little convention on how to disseminate this routine into the report environment. This work proposes a systematic approach to migrate a system routine from free-text reports to structured reports, focusing on the DI- COM Structured Reporting guidelines. We evaluated this proposal by creating a reporting module in the context of a telemedicine system, and performing case study covering ultrasonography reports. Using the AdEQUATE model, the eval- uation showed a high user perception from the system, directly reflecting the quality of our proposal. The results are a set of defined premises and steps that turns a telemedicine system into a complete structured reporting environment.


Cancers ◽  
2021 ◽  
Vol 13 (9) ◽  
pp. 2135
Author(s):  
Vincenza Granata ◽  
Damiano Caruso ◽  
Roberto Grassi ◽  
Salvatore Cappabianca ◽  
Alfonso Reginelli ◽  
...  

Background: Structured reporting (SR) in oncologic imaging is becoming necessary and has recently been recognized by major scientific societies. The aim of this study was to build MRI-based structured reports for rectal cancer (RC) staging and restaging in order to provide clinicians all critical tumor information. Materials and Methods: A panel of radiologist experts in abdominal imaging, called the members of the Italian Society of Medical and Interventional Radiology, was established. The modified Delphi process was used to build the SR and to assess the level of agreement in all sections. The Cronbach’s alpha (Cα) correlation coefficient was used to assess the internal consistency of each section and to measure the quality analysis according to the average inter-item correlation. The intraclass correlation coefficient (ICC) was also evaluated. Results: After the second Delphi round of the SR RC staging, the panelists’ single scores and sum of scores were 3.8 (range 2–4) and 169, and the SR RC restaging panelists’ single scores and sum of scores were 3.7 (range 2–4) and 148, respectively. The Cα correlation coefficient was 0.79 for SR staging and 0.81 for SR restaging. The ICCs for the SR RC staging and restaging were 0.78 (p < 0.01) and 0.82 (p < 0.01), respectively. The final SR version was built and included 53 items for RC staging and 50 items for RC restaging. Conclusions: The final version of the structured reports of MRI-based RC staging and restaging should be a helpful and promising tool for clinicians in managing cancer patients properly. Structured reports collect all Patient Clinical Data, Clinical Evaluations and relevant key findings of Rectal Cancer, both in staging and restaging, and can facilitate clinical decision-making.


2020 ◽  
Vol 11 (1) ◽  
Author(s):  
Tim Frederik Weber ◽  
Manuela Spurny ◽  
Felix Christian Hasse ◽  
Oliver Sedlaczek ◽  
Georg Martin Haag ◽  
...  

Abstract Objectives Our aim was to develop a structured reporting concept (structured oncology report, SOR) for general follow-up assessment of cancer patients in clinical routine. Furthermore, we analysed the report quality of SOR compared to conventional reports (CR) as assessed by referring oncologists. Methods SOR was designed to provide standardised layout, tabulated tumour burden documentation and standardised conclusion using uniform terminology. A software application for reporting was programmed to ensure consistency of layout and vocabulary and to facilitate utilisation of SOR. Report quality was analysed for 25 SOR and 25 CR retrospectively by 6 medical oncologists using a 7-point scale (score 1 representing the best score) for 6 questionnaire items addressing different elements of report quality and overall satisfaction. A score of ≤ 3 was defined as a positive rating. Results In the first year after full implementation, 7471 imaging examinations were reported using SOR. The proportion of SOR in relation to all oncology reports increased from 49 to 95% within a few months. Report quality scores were better for SOR for each questionnaire item (p < 0.001 each). Averaged over all questionnaire item scores were 1.98 ± 1.22 for SOR and 3.05 ± 1.93 for CR (p < 0.001). The overall satisfaction score was 2.15 ± 1.32 for SOR and 3.39 ± 2.08 for CR (p < 0.001). The proportion of positive ratings was higher for SOR (89% versus 67%; p < 0.001). Conclusions Department-wide structured reporting for follow-up imaging performed for assessment of anticancer treatment efficacy is feasible using a dedicated software application. Satisfaction of referring oncologist with report quality is superior for structured reports.


2021 ◽  
pp. 426-434
Author(s):  
Bernardo C. Bizzo ◽  
Renata R. Almeida ◽  
Tarik K. Alkasab

PURPOSE Recent advances in structured reporting are providing an opportunity to enhance cancer imaging assessment to drive value-based care and improve patient safety. METHODS The computer-assisted reporting and decision support (CAR/DS) framework has been developed to enable systematic ingestion of guidelines as clinical decision structured reporting tools embedded within the radiologist's workflow. RESULTS CAR/DS tools can reduce the radiology reporting variability and increase compliance with clinical guidelines. The lung cancer use-case is used to describe various scenarios of a cancer imaging structured reporting pathway, including incidental findings, screening, staging, and restaging or continued care. Various aspects of these tools are also described using cancer-related examples for different imaging modalities and applications such as calculators. Such systems can leverage artificial intelligence (AI) algorithms to assist with the generation of structured reports and there are opportunities for new AI applications to be created using the structured data associated with CAR/DS tools. CONCLUSION These AI-enabled systems are starting to allow information from multiple sources to be integrated and inserted into structured reports to drive improvements in clinical decision support and patient care.


Author(s):  
Arnaldo Stanzione ◽  
Francesca Boccadifuoco ◽  
Renato Cuocolo ◽  
Valeria Romeo ◽  
Pier Paolo Mainenti ◽  
...  

Abstract In the management of several abdominal disorders, magnetic resonance imaging (MRI) has the potential to significantly improve patient’s outcome due to its diagnostic accuracy leading to more appropriate treatment choice. However, its clinical value heavily relies on the quality and quantity of diagnostic information that radiologists manage to convey through their reports. To solve issues such as ambiguity and lack of comprehensiveness that can occur with conventional narrative reports, the adoption of structured reporting has been proposed. Using a checklist and standardized lexicon, structured reports are designed to increase clarity while assuring that all key imaging findings related to a specific disorder are included. Unfortunately, structured reports have their limitations too, such as risk of undue report simplification and poor template plasticity. Their adoption is also far from widespread, and probably the ideal balance between radiologist autonomy and report consistency of has yet to be found. In this article, we aimed to provide an overview of structured reporting proposals for abdominal MRI and of works assessing its value in comparison to conventional free-text reporting. While for several abdominal disorders there are structured templates that have been endorsed by scientific societies and their adoption might be beneficial, stronger evidence confirming their imperativeness and added value in terms of clinical practice is needed, especially regarding the improvement of patient outcome.


2014 ◽  
Vol 28 (2) ◽  
pp. 132-145 ◽  
Author(s):  
Rosana Medina García ◽  
Erik Torres Serrano ◽  
J. Damian Segrelles Quilis ◽  
Ignacio Blanquer Espert ◽  
Luis Martí Bonmatí ◽  
...  

Pathology ◽  
2021 ◽  
Vol 53 ◽  
pp. S27
Author(s):  
Theoni Haralabopoulos ◽  
Evangelia Haralabopoulos ◽  
Timothy Fielder ◽  
Catriona McKenzie

Author(s):  
Alexander Christian Bunck ◽  
Bettina Baeßler ◽  
Christian Ritter ◽  
Jan Robert Kröger ◽  
Thorsten Persigehl ◽  
...  

Backround Structured reports have numerous benefits through standardizing the way imaging findings are reported and communicated. Nevertheless, the adoption of structured reports in everyday radiological practice is still limited. In view of the irrefutable benefits, various national and international radiological societies have started initiatives which aim at promoting a broader use of structured reports. Up to now, no consented templates in German language existed for the reporting of cross-sectional imaging studies of the heart. Method Upon invitation of the working group for Cardiovascular Imaging of the German Society of Radiology a panel of radiologists, cardiologists, pediatric cardiologists and cardiothoracic surgeons, experts on the field of cardiovascular imaging and structured reporting, met for two interdisciplinary consensus meetings at the University Hospital Cologne in 2018. The aim of these meetings was to develop and agree on templates for the reporting of MR and CT studies of various cardiovascular disease entities. Results During the meetings the panel of experts developed and reached consensus on 11 different templates for the structured reporting of the following: myocarditis, dilated cardiomyopathy, hypertrophic (obstructive) cardiomyopathy, arrythmogenic right ventricular cardiomyopathy, siderosis, ischemia and vitality imaging, tetralogy of Fallot, aortic coarctation, coronary CT and CT for Transcatheter Aortic Valve Implantation (TAVI) planning. The first five templates are presented in this publication and are currently being transferred to a HTML 5/IHR MRRT compatible format. Subsequently, the templates will be made available for free use on the website www.befundung.drg.de. Conclusion For the first time, consented templates in German language for the structured reporting of cross-sectional imaging studies of the heart are presented. These templates are aimed at providing a constant level of high reporting quality and increasing the efficiency of the generation and communication of imaging reports. Key points:  Citation Format


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