Name
Abstract | ||
|---|---|---|
Capturing clinical observations and findings during the diagnostic imaging process is increasingly becoming a critical step in diagnostic reporting. Standards developers-notably HL7 and DICOM-are making significant progress toward standards that enable exchanging clinical observations and findings among the various information systems of the healthcare enterprise. DICOM-like the HL7 Clinical Document Architecture (CDA) -uses templates and constrained, coded vocabulary (SNOMED, LOINC, etc.). Such a representation facilitates automated software recognition of findings and observations, intrapatient comparison, correlation to norms, and outcomes research. The scope of DICOM Structured Reporting (SR) includes many findings that products routinely create in digital form (measurements, computed estimates, etc.). In the Integrating the Healthcare Enterprise (IHE) framework, two Integration Profiles are defined for clinical data capture and diagnostic reporting: Evidence Document, and Simple Image and Numeric Report. This report describes these two DICOM SR-based integration profiles in the diagnostic reporting process. |
Year | DOI | Venue |
|---|---|---|
2004 | 10.1016/j.acra.2005.01.020 | Academic Radiology |
Keywords | Field | DocType |
DICOM structured reporting,IHE,evidence document,simple image and numeric report | Data science,Information system,DICOM,Computer science,Software,Automatic identification and data capture,LOINC,SNOMED CT,Vocabulary,Clinical Document Architecture | Conference |
Volume | Issue | ISSN |
12 | 5 | 1076-6332 |
Citations | PageRank | References |
0 | 0.34 | 1 |
Authors | ||
2 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| cor loef | 1 | 0 | 0.34 |
| Roel Truyen | 2 | 218 | 19.37 |