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The role of digital imaging and communications in medicine in an evolving healthcare computing environment: the model is the message
- Source :
- Journal of digital imaging. 11(1)
- Publication Year :
- 1998
-
Abstract
- The decision to use Digital Imaging and Communications in Medicine (DICOM), Health Level 7 (HL7), a common object broker such as the Common Object Request Brokering Architecture (CORBA) or ActiveX (Microsoft Corp, Redmond, WA) or any other protocol for the transfer of DICOM data depends on the requirements of a particular implementation. The selection of protocol is independent of the information model. Our goal as message standards developers is to design a data interchange infrastructure that will faithfully convey the computer-based patient record and make it available to authorized health care providers when and where it is needed for patient care. DICOM accurately and expressively represents the clinically significant properties of images and the semantics of image-related information. The DICOM data model is small and well-defined. The model can be expressed in Standard Generalized Markup Language (SGML) or Object Management Group Interface Definition Language or other common syntax-and can be implemented using any reliable communications protocol. Therefore our opinion is that the DICOM semantic data model should serve as the basis for a logically equivalent set of specifications in HL7, CORBA, ActiveX, and SGML for the interchange of biomedical images and image-related information.
- Subjects :
- Radiological and Ultrasound Technology
Computer science
computer.file_format
Interface description language
Object (computer science)
Article
Computer Science Applications
World Wide Web
DICOM
Computer Communication Networks
Radiology Information Systems
Data model
Common Object Request Broker Architecture
Information model
Radiology, Nuclear Medicine and imaging
Programming Languages
SGML
Communications protocol
computer
Software
Subjects
Details
- ISSN :
- 08971889
- Volume :
- 11
- Issue :
- 1
- Database :
- OpenAIRE
- Journal :
- Journal of digital imaging
- Accession number :
- edsair.doi.dedup.....94555684a7ffcbcbcc8954b9f58bbe36