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DOI 10.1093/jamia/ocae134

Медицинская библиотека · Journal of the American Medical Informatics Association : JAMIA · 2024

Standardizing imaging findings representation: harnessing Common Data Elements semantics and Fast Healthcare Interoperability Resources structures.

Tejani Ali S, Bialecki Brian, O'Donnell Kevin, Sippel Schmidt Teri, Kohli Marc D, Alkasab Tarik

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Аннотация

OBJECTIVES

Designing a framework representing radiology results in a standards-based data structure using joint Radiological Society of North America/American College of Radiology Common Data Elements (CDEs) as the semantic labels on standard structures. This allows radiologist-created report data to integrate with artificial intelligence-generated results for use throughout downstream systems.

MATERIALS AND

METHODS

We developed a framework modeling radiology findings as Health Level 7 (HL7) Fast Healthcare Interoperability Resources (FHIR) observations using CDE set/element identifiers as standardized semantic labels. This framework deploys CDE identifiers to specify radiology findings and attributes, providing consistent labels for radiology report concepts-diagnoses, recommendations, tabular/quantitative data-with built-in integration with RadLex, SNOMED CT, LOINC, and other ontologies. Observation structures fit within larger HL7 FHIR DiagnosticReport resources, providing output including both nuanced text and structured data.

RESULTS

Labeling radiology findings as discrete data for interchange between systems requires two components: structure and semantics. CDE definitions provide semantic identifiers for findings and their component values. The FHIR observation resource specifies a structure for associating identifiers with radiology findings in the context of reports, with CDE-encoded observations referring to definitions for CDE identifiers in a central repository. The discussion includes an example of encoding pulmonary nodules on a chest CT as CDE-labeled observations, demonstrating the application of this framework to exchange findings throughout the imaging workflow, making imaging data available to downstream clinical systems.

DISCUSSION: CDE-labeled observations establish a lingua franca for encoding, exchanging, and consuming radiology data at the level of individual findings, facilitating use throughout healthcare systems.

IMPORTANCE

CDE-labeled FHIR observation objects can increase the value of radiology results by facilitating their use throughout patient care.

Для цитирования: Tejani Ali S, Bialecki Brian, O'Donnell Kevin, Sippel Schmidt Teri, Kohli Marc D, Alkasab Tarik. Standardizing imaging findings representation: harnessing Common Data Elements semantics and Fast Healthcare Interoperability Resources structures.. Journal of the American Medical Informatics Association : JAMIA. 2024. DOI: 10.1093/jamia/ocae134.

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