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A web-based software architecture and framework for integration of an ophthalmologic reading center in large scale multi-center studies

  • In this work, a web-based software architecture and framework for management and diagnosis of large amounts of medical data in an ophthalmologic reading center is proposed. Data management for multi-center studies requires merging of standing data and repeatedly gathered clinical evidence such as vital signs and raw data. If ophthalmologic questions are involved the data acquisition is often provided by non-medical staff at the point of care or a study center, whereas the medical finding is mostly provided by an ophthalmologist in a specialized reading center. The study data such as participants, cohorts and measured values are administrated at a single data center for the entire study. Since a specialized reading center maintains several studies, the medical staff must learn the different data administration for the different data center. With respect to the increasing number and sizes of clinical studies, two aspects must be considered. At first, an efficient software framework is required to support the data management, processing and diagnosis by medical experts at the reading center. In the second place, this software needs a standardized user-interface that has not to be trained/taylore /adapted for each new study. Furthermore different aspects of quality and security controls have to be included. Therefore, the objective of this work is to establish a multi purpose ophthalmologic reading center, which can be connected to different data centers via configurable data interfaces in order to treat various topics simultaneously.

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Metadaten
Author of HS ReutlingenClin, Lucien; Thies, Christian
DOI:https://doi.org/10.3205/14gmds043
Erschienen in:GMDS 2014 : 59. Jahrestagung der Deutschen Gesellschaft für Medizinische Informatik, Biometrie und Epidemiologie e.V. (GMDS), Göttingen, 07.-10.09.2014
Publisher:German Medical Science Publishing House
Place of publication:Düsseldorf
Document Type:Conference Proceeding
Language:English
Year of Publication:2014
DDC classes:004 Informatik
Open Access?:Ja
Licence (German):License Logo  Open Access