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A Relational Databank System for Ocular Tumor Registration

1Stroux A., 2Bechrakis N. E., 1Martus P., 2Foerster M. H.,
1Freie Universität Berlin, Klinikum Benjamin Franklin, Institut für Medizinische Informatik, Biometrie und Epidemiologie (Berlin)
2Freie Universität Berlin, Klinikum Benjamin Franklin, Augenklinik (Berlin)

Purpose: The computer based documentation of ocular tumors has to consider various treatment modalities. Depending on disease development, different therapeutic schemes (radiotherapy + hyperthermy + resection + adjuvant therapies) might be used for the same patient. For heterogeneous time sequences, the statistical data analysis becomes particularly complex. Patient history, diagnosis, therapy, and disease development have to be considered concerning their interrelationship in time. Acceptance in clinical routine demands such a complex documentation system to be flexible with regard to the operator‘s requirements.
Method: Basic relations of the data model are patient history, diagnosis, current therapy, and follow-up. Primary keys of the data base are patient, eye, tumor, and visit. For differentiation of fixed combination therapies against required changes in treatment strategy, therapeutic episodes are the basis of the underlying data model. The succession of therapeutic decisions is explicitely documented, rendering a connection with the clinical findings. A flexibly adaptable relational databank system guarantees the realisation in clinical routine.
Results: In the Benjamin Franklin University Hospital, per year approximately 200 patients with ocular tumors are treated. 20% of these patients show complex disease patterns with multiple ocular tumors and systemic manifestations. The tumor register comprises appr. 200 variables which are attached to 15 relations. One and higher dimensional plausibility checks are implemented for data quality control.
Conclusions: The presented data registration system is appropriate for routine documentation as well as for the support of clinical studies. Moreover, this ocular tumor register provides the foundation for a permanently extendable electronic patient file.

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