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Hospital Cancer Registry Data Model

This document discusses the development of a common data model for hospital cancer registries, established through collaboration among experts over 15 years. It emphasizes the importance of a standardized basic data set for effective data exchange between registries and healthcare systems. The paper outlines the requirements for these systems to facilitate data import and improve the association of disease phenomena, therapies, and tumor entities across encounters.

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paignerc
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7 views1 page

Hospital Cancer Registry Data Model

This document discusses the development of a common data model for hospital cancer registries, established through collaboration among experts over 15 years. It emphasizes the importance of a standardized basic data set for effective data exchange between registries and healthcare systems. The paper outlines the requirements for these systems to facilitate data import and improve the association of disease phenomena, therapies, and tumor entities across encounters.

Uploaded by

paignerc
Copyright
© © All Rights Reserved
We take content rights seriously. If you suspect this is your content, claim it here.
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Download as TXT, PDF, TXT or read online on Scribd
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Abstract

The definition of common system semantics is an explicit and generally accepted


precondition for comparability and exchangeability of data from different systems.
We have looked back on 15 years of experience with a data model that was developed
in a co-operative effort by experts from various hospital cancer registries as the
foundation of a new tumour documentation system (GTDS). The data model is based on
the definition of a common basic data set for hospital cancer registries which is
agreed by the German Association of Comprehensive Cancer Centres (ADT). This paper
presents an "entity relationship" view of this model. Since data exchange among
registries and with hospital or practice information systems is becoming
increasingly important we describe our method to import data from such systems. We
discuss the requirements that systems have to have for a most effective way of
exchanging data with a hospital cancer registry. The most important feature is the
possibility to associate disease phenomena and therapies with each other and with
an entity that represents the tumour across encounters. The reference model we
present respectively the requirements we propose for other communicating systems
might also fit for other chronic diseases.

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