ReviewJournal of the Korean Society of Radiology2024
[Standardization for Promoting Interoperability of Healthcare Data: The Progression of the Korean Society of Radiology].
Review in Journal of the Korean Society of Radiology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
What it found
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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.
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0 citing papers in PubMed.
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Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
In 2023, the Korean Core Data for Interoperability (KR-CDI), comprising 77 elements, was established as a compliance item for healthcare data exchange in Korea to promote patient-centered medical information exchange and reestablish national interoperability in healthcare standardization. Radiologic examinations are in the core classification of diagnostic imaging tests, and the examination name, results, and image data must be exchanged based on standard codes of terminology and transfer. Accordingly, the Korean Society of Radiology has formed a standardization committee that maps radiologic examination names to international standard codes, such as LOINC and SNOMED CT. Additionally, we propose a pilot project for the standardization and exchange of DICOM images and plan a project to map the terms of the Conclusion sections of diagnostic reports to standard codes. The Korean Society of Radiology is actively participating in these efforts.
Identifiers
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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.