ReviewDer Radiologe2021
[Integration of structured reporting into the routine radiological workflow].
Review in Der Radiologe, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
3 citing papers in PubMed.
- Structured panendoscopy reports improve report completeness and documentation time.Scientific reports · 2025Article
- Boosting LLM-assisted diagnosis: 10-minute LLM tutorial elevates radiology residents' performance in brain MRI interpretation.Neuroradiology · 2025Article
- A novel reporting workflow for automated integration of artificial intelligence results into structured radiology reports.Insights into imaging · 2024Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
clinical issueStructured 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
methodsRadiological 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.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.