DocumentCode
1669370
Title
Macro-data: a new approach for the development of tele-expertise applications
Author
Fayn, J. ; Petitjean, F. ; Selmaoui, N. ; Rubel, P.
Author_Institution
Inst. Nat. de la Sante et de la Recherche Med., Lyon, France
fYear
1999
fDate
6/21/1905 12:00:00 AM
Firstpage
41
Lastpage
44
Abstract
The aim of this paper is to present new methods for tele-expertise applications design, based on an original concept of macro-data representation, modeling and management. A macro-data is an aggregation of several data types, including signals and images, their semantic and syntactic representation, as well as the syntax of their presentation. It may encapsulate existing standards like RTF, SCP-ECG and DICOM, and may be represented using the XML language for electronic data interchange. The macro-data model-based design facilitates and speeds-up the filling of the patient records, and allows to presence data presentation at the target site. Using the UML notation, we present a complete software architecture model integrating user-specific macro-data models management. The result is the development of an application, based on generic object components, called “Expert-Assist”
Keywords
data models; medical expert systems; medical information systems; meta data; simulation languages; software architecture; software tools; telemedicine; user centred design; user modelling; DICOM; Expert-Assist software package; RTF; SCP-ECG; UML notation; XML language; complete software architecture model; electronic data interchange; generic object components; macro-data representation; message body instances; model-based design; patient records; semantic representation; syntactic representation; tele-expertise applications design; telemedicine; user-specific model management; Application software; Cardiology; DICOM; Data handling; Disaster management; Filling; Software architecture; Unified modeling language; User interfaces; XML;
fLanguage
English
Publisher
ieee
Conference_Titel
Computers in Cardiology, 1999
Conference_Location
Hannover
ISSN
0276-6547
Print_ISBN
0-7803-5614-4
Type
conf
DOI
10.1109/CIC.1999.825901
Filename
825901
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