Hinweis zum Urheberrecht
ResearchPaper zugänglich unter
URN: urn:nbn:de:bvb:29-opus-39057
URL: http://www.opus.ub.uni-erlangen.de/opus/volltexte/2012/3905/
The Erlangen Glaucoma Registry: a Scientific Database for Longitudinal Analysis of Glaucoma
Lauterwald, Frank ;
Neumann, Christoph P. ;
Lenz, Richard ;
Jünemann, Anselm G. ;
Mardin, Christian Y. ;
Meyer-Wegener, Klaus ;
Horn, Folkert K.
| SWD-Schlagwörter: |
| Glaukom , Elektronische Patientenakte , Register , Längsschnittuntersuchung , Wissenschaftliche Datenbank , Relationale Datenbank |
| Freie Schlagwörter (Englisch): |
| Glaucoma, Biomedical Engineering, Medical Record Systems (computerized), Registries, Longitudinal Studies |
| Fakultät: 1 |
| Medizinische Fakultät |
| Fakultät: 2 |
| Technische Fakultät |
| DDC-Sachgruppe: |
| Informatik |
| Dokumentart: |
| ResearchPaper |
| Schriftenreihe: |
| Technical reports / Department Informatik, ISSN 2191-5008 |
| Bandnummer: |
| CS-2011,2 |
| Sprache: |
| Englisch |
| Erstellungsjahr: |
| 2011 |
| Publikationsdatum: |
| 23.11.2012 |
| Kurzfassung in Englisch: |
| Background: Due to the slow progression of the Glaucoma disease, a large study population and long-time observations are needed to gain insights into its long-term effects and progression rates. Since modalities can export data in machine-readable formats, statistical analyses of the large number of examinations is feasible. These data have been integrated in a central patient registry, the Erlangen Glaucoma Registry (EGR).
Objectives: The primary focus of the EGR system design has been its fitness for analyses. It holds almost all the available research data for registered glaucoma patients. This allows for cross-sectional and longitudinal observations and for evaluation of prognostic validity of diagnostic procedures.
Methods: An adequate technology for integration of data and flexibility in data analysis is a database management system (DBMS). Here, a careful schema design is mandatory. Adding new modalities leads to schema modifications which are supported by defining a core database schema and attaching all data to this core. On that basis, a large number of modalities have been connected to the EGR.
Results: The registry contains data of 1,400 patients in the main longitudinal study. It has successfully helped in scientific research, as can be seen in a large number of published papers. For example, validation of new sensory physiological methods requires patients with reliable diagnoses. The existence of a well-documented patient collective facilitated finding such patients.
Conclusions: The EGR holds a unique amount of available data gathered in large longitudinal studies. It was successful in terms of medical results obtained. Developed as an evolutionary system, it can easily be extended. |
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