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Biomedical subjects

F R Katz

Publications and source records attributed to F R Katz.

6 recordsLinked to original sources

XML-based application interface services--a method to enhance integrability of disease specific systems.

Disease specific systems usually offer excellent functionality for the management of the covered diseases. But the restriction to a certain disease also often hampers their wide spread use since they aren't optimised for clinical workflow. The Giessener Tumordokumentationssystem (GTDS) is such a disease specific system. It is not only designed for the use in tumour registries but also to support clinical care. In order to integrate it into hospital information systems, we implemented standard communication interfaces, but this measure is not sufficient since it doesn't consider aspects of the normal workflow of a clinical user. Therefore, we developed a strategy that should ease the access to the system in the environment of existing systems. From the technical point of view, XML with its capabilities to represent even complex data in a rather simple way helped to implement this strategy. We use it to communicate with API-like services and also created a WWW environment to demonstrate the access to these services. Since this environment itself is a means to integrate systems, we intend to expand this environment to an appropriate region based means to improve the communication with registries. multidisciplinary environments [3]. The large amount of useful functions and its adaptability has made GTDS (http://www.gtds.de) a successful system in more than 30 various registries.

Computer Communication Networks↗

Development of an oncology data network in Germany.

In the 1990ies, an oncology data network has been set up mainly in the New States of Germany. Although not formally planned and established as a whole, it consists of a number of initiatives, that co-operate well and gain added value from this co-operation. From the technological view, the centre of the network is the Giessener Tumordokumentationssystem (GTDS), that was developed at Giessen University. We present important basic conditions in which this development took place, show some results and describe future directions of the development.

Computer Communication Networks↗

Integrated knowledge-based functions in a hospital cancer registry--specific requirements for routine applicability.

The background of the presented work is the design, realization, and routine use of integrated knowledge-based functions in the context of a hospital cancer registry. The first field of application was supporting registrars to detect data inconsistencies and incompleteness timely during the documentation process. Especially, we focused on the acceptance of the administrator of the underlying information system and on the phenomenon of duplicate and outdated messages. These aspects are specific for integrated knowledge based functions and a precondition for obtaining a routine applicability and acceptance.

Artificial Intelligence↗

A model for integration and continuous development of standards for tumour documentation using relational database techniques and extensible markup language.

In oncology various international and national standards exist for different aspects of a disease. These standards, maintained by different organisations, have multiple relationships with each other. A common data dictionary like UMLS would facilitate the reorganisation of such relationships when a new version of a standard is published. While the modelling of relationships usually is restricted to types having a relevant frequency, there are often relationships which are expressed in texts like definitions or explanations. Such texts are a very important supplement for the acceptance and the safe use of coding systems, but often are neglected when implementing coding systems in computerised systems, because they are costly to implement. This paper discusses potentials when integrating various sources in a common, database based dictionary enhanced by XML (Extensible Markup Language) techniques.

Databases as Topic↗

GTDS--a tool for tumor registries to support shared patient care.

German hospital tumor registries play an active role in the treatment of cancer patients. Besides the documentation of the course of a disease, they directly support medical treatment and follow-up care over a long period. As the treatment of oncologic patients is a shared multidisciplinary task, the availability of information is one of the most valuable outputs. Therefore, the documentation has to be integrated into the medical treatment, which only can be achieved when useful services are based on it. Since 1983 the basis of the documentation has been a uniform basic data set which was revised in 1990 and, according to be requirements mentioned above, allows detailed documentation, especially of therapy. During the last four years a new documentation system for tumor diseases has been developed and was implemented in 30 hospital tumor registries by the "Arbeitsgruppe zur Koordination Klinischer Krebsregister". The so-called "Giessener Tumordokumentationssystem" (GTDS) is the basis of the work in those registries. In this paper the functions and services which were implemented in order to support the individual treatment of oncologic patients and the methods of collecting and delivering that information to the physician are presented.

Documentation↗

Concepts of GTDs: an oncology workstation.

In Germany, computer systems have been used in hospital cancer registries for more than 10 years. Primarily, they have been used for retrospective documentation of malignant tumors, and these resources have rarely been tapped for the support of follow up care and statistical evaluation. In response to the increasing availability of PC-systems and growing interest in computer networks, we have decided to design and develop a new oncology information system which covers two important aspects of oncology care: (1) the documentation of all relevant data items for the cancer registries, and (2) the routine support of the physician in the clinical treatment process. In this paper we discuss the design and concept of this oncology information system as well as experiences gained during the development process are discussed. Future plans to further extend the system to a comprehensive oncology workstation are presented.

Artificial Intelligence↗