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Integration der strukturierten Befundung in den radiologischen Routine-Workflow

CLINICAL ISSUE: Structured reporting has been one of the most discussed topics in radiology for years. Currently, there is a lack of user-friendly software solutions that are integrated into the IT infrastructure of hospitals and practices to allow efficient data entry. STANDARD RADIOLOGICAL METHODS...

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Autores principales: Kim, Su Hwan, Mir-Bashiri, Sanas, Matthies, Philipp, Sommer, Wieland, Nörenberg, Dominik
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Medizin 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8477629/
https://www.ncbi.nlm.nih.gov/pubmed/34581842
http://dx.doi.org/10.1007/s00117-021-00917-0
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author Kim, Su Hwan
Mir-Bashiri, Sanas
Matthies, Philipp
Sommer, Wieland
Nörenberg, Dominik
author_facet Kim, Su Hwan
Mir-Bashiri, Sanas
Matthies, Philipp
Sommer, Wieland
Nörenberg, Dominik
author_sort Kim, Su Hwan
collection PubMed
description CLINICAL ISSUE: Structured reporting has been one of the most discussed topics in radiology for years. Currently, there is a lack of user-friendly software solutions that are integrated into the IT infrastructure of hospitals and practices to allow efficient data entry. STANDARD RADIOLOGICAL METHODS: Radiological reports are mostly generated as free text documents, either dictated via speech recognition systems or typed. In addition, text components are used to create reports of normal findings that can be further edited and complemented by free text. METHODOLOGICAL INNOVATIONS: Software-based reporting systems can combine speech recognition systems with radiological reporting templates in the form of interactive decision trees. A technical integration into RIS (“radiological information system”), PACS (“picture archiving and communication system”), and AV (“advanced visualization”) systems via application programming interfaces and interoperability standards can enable efficient processes and the generation of machine-readable report data. PERFORMANCE: Structured and semantically annotated clinical data collected via the reporting system are immediately available for epidemiological data analysis and continuous AI training. EVALUATION: The use of structured reporting in routine radiological diagnostics involves an initial transition phase. A successful implementation further requires close integration of the technical infrastructure of several systems. PRACTICAL RECOMMENDATIONS: By using a hybrid reporting solution, radiological reports with different levels of structure can be generated. Clinical questions or procedural information can be semi-automatically transferred, thereby eliminating avoidable errors and increasing productivity
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spelling pubmed-84776292021-09-28 Integration der strukturierten Befundung in den radiologischen Routine-Workflow Kim, Su Hwan Mir-Bashiri, Sanas Matthies, Philipp Sommer, Wieland Nörenberg, Dominik Radiologe Leitthema CLINICAL ISSUE: Structured reporting has been one of the most discussed topics in radiology for years. Currently, there is a lack of user-friendly software solutions that are integrated into the IT infrastructure of hospitals and practices to allow efficient data entry. STANDARD RADIOLOGICAL METHODS: Radiological reports are mostly generated as free text documents, either dictated via speech recognition systems or typed. In addition, text components are used to create reports of normal findings that can be further edited and complemented by free text. METHODOLOGICAL INNOVATIONS: Software-based reporting systems can combine speech recognition systems with radiological reporting templates in the form of interactive decision trees. A technical integration into RIS (“radiological information system”), PACS (“picture archiving and communication system”), and AV (“advanced visualization”) systems via application programming interfaces and interoperability standards can enable efficient processes and the generation of machine-readable report data. PERFORMANCE: Structured and semantically annotated clinical data collected via the reporting system are immediately available for epidemiological data analysis and continuous AI training. EVALUATION: The use of structured reporting in routine radiological diagnostics involves an initial transition phase. A successful implementation further requires close integration of the technical infrastructure of several systems. PRACTICAL RECOMMENDATIONS: By using a hybrid reporting solution, radiological reports with different levels of structure can be generated. Clinical questions or procedural information can be semi-automatically transferred, thereby eliminating avoidable errors and increasing productivity Springer Medizin 2021-09-28 2021 /pmc/articles/PMC8477629/ /pubmed/34581842 http://dx.doi.org/10.1007/s00117-021-00917-0 Text en © Springer Medizin Verlag GmbH, ein Teil von Springer Nature 2021 This article is made available via the PMC Open Access Subset for unrestricted research re-use and secondary analysis in any form or by any means with acknowledgement of the original source. These permissions are granted for the duration of the World Health Organization (WHO) declaration of COVID-19 as a global pandemic.
spellingShingle Leitthema
Kim, Su Hwan
Mir-Bashiri, Sanas
Matthies, Philipp
Sommer, Wieland
Nörenberg, Dominik
Integration der strukturierten Befundung in den radiologischen Routine-Workflow
title Integration der strukturierten Befundung in den radiologischen Routine-Workflow
title_full Integration der strukturierten Befundung in den radiologischen Routine-Workflow
title_fullStr Integration der strukturierten Befundung in den radiologischen Routine-Workflow
title_full_unstemmed Integration der strukturierten Befundung in den radiologischen Routine-Workflow
title_short Integration der strukturierten Befundung in den radiologischen Routine-Workflow
title_sort integration der strukturierten befundung in den radiologischen routine-workflow
topic Leitthema
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8477629/
https://www.ncbi.nlm.nih.gov/pubmed/34581842
http://dx.doi.org/10.1007/s00117-021-00917-0
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