Authors:
Petr Včelák
1
;
Jana Klečková
1
and
Vladimír Rohan
2
Affiliations:
1
University of West Bohemia, Czech Republic
;
2
University Hospital, Czech Republic
Keyword(s):
Cerebrovascular diseases, Clinical data, DASTA, Database, DICOM, Medical data, Metadata, Resource Description Framework (RDF), Stroke, Thrombolysis.
Related
Ontology
Subjects/Areas/Topics:
Biomedical Engineering
;
Cloud Computing
;
e-Health
;
Electronic Health Records and Standards
;
Health Information Systems
;
Platforms and Applications
;
Software Systems in Medicine
Abstract:
The cerebrovascular diseases are one the most common cause of death worldwide. The second most frequent cause of death in the Czech Republic. The proposed database should notably contribute to the solution of this complex problem. Its profit is based on medical data interconnection and aggregation of collaborating centers. There are stored miscellaneous de-indentified medical data in the database such as (1) a set of patient’s clinical data in a DASTA file format, (2) a set of brain scans like computed tomography in a DICOM files, (3) data from Safe Implementation of Thrombolysis in Stroke (SITS) register. The experimental database project has an extensible support for any other fitted data format.