Biomedical subjects

U Altmann

Publications and source records attributed to U Altmann.

13 recordsLinked to original sources

PubMed2002

Integrated decision support in a hospital cancer registry.

In this paper we present (a) a shell for integrated knowledge-based functions that is destined to support decision processes of the users of the Giessener Tumordokumentationssystem (GTDS) and (b) some results we obtained during a 6-month observation period at one of the customers of the GTDS. A special characteristic of the provided decision support is the high degree of integration in the underlying information system GTDS, i.e. the functions are triggered by events in the patient database, existing patient data is reused as input for the reasoning process and generated alerts are presented instantly to the end-user. The first routine field of application was supporting registrars to adhere to integrity constraints as defined by the International Agency of Research on Cancer (IARC) during the documentation process. This information is important for the registrars since the checks of the IARC are an accepted standard for data quality in cancer registries. The expected benefit of this application area is less effort in achieving adherence to the specification of the IARC by preventing the costly rectification at a later time. During the last 5 months of the observation period 164 alerts were displayed. About 65% of the assessed alerts were considered to be correct. Especially, the analysis of the incorrect alerts revealed some shortcomings in the knowledge behind some of the integrity constraints of the IARC. The general feedback from the end-users indicate positive user satisfaction. Currently, the shell is in use in six hospital cancer registries.

Artificial Intelligence↗

PubMed2001

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↗

PubMed2000

[Standards in information technology-assisted tumor documentation].

Data standards are a irrevocable pre-condition for a variety of applications in information technology, e.g. documentation, communication, and analysis. For this purpose, contents as well as rules for the representation of contents have to be defined. Tumour documentation has a long standing tradition. This contribution shows, which standards exist, how they are related to each other, what they are used for, and which tools exist.

Data Collection↗

PubMed2000

Structured clinical documentation for the assessment of medical care.

The developing infrastructure for tumour documentation in Germany offers the unique opportunity to provide the physicians with useful clinical information, to evaluate standards of care, and get an impression about the "real-world-effectiveness" of cancer care. In order to compare and evaluate diagnostic and therapeutic approaches in different medical institutions or health care systems, the systematic, patient-oriented, treatment accompanying tumour documentation is a compelling requirement. Our intention is to optimise content and extent of the collected information to characterise the different dimensions of the quality of medical care the best possible. We found that most of the problems are deriving from the contextually and timely correct documentation of medical procedures which includes diagnostic as well as therapeutic interventions. The content of the documentation together with standards of care, such as Clinical Practice Guidelines, should be parallel developed in interdisciplinary co-operation. This way, the fundamental domains of performance, such as appropriateness, availability, continuity, safety, effectiveness, and timeliness of medical care can described and evaluated objectively.

Documentation↗

PubMed2000

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↗

PubMed1999

Combining dictionary techniques with extensible markup language (XML)--requirements to a new approach towards flexible and standardized documentation.

In oncology various international and national standards exist for the documentation of different aspects of a disease. Since elements of these standards are repeated in different contexts, a common data dictionary could support consistent representation in any context. For the construction of such a dictionary existing documents have to be worked up in a complex procedure, that considers aspects of hierarchical decomposition of documents and of domain control as well as aspects of user presentation and models of the underlying model of patient data. In contrast to other thesauri, text chunks like definitions or explanations are very important and have to be preserved, since oncologic documentation often means coding and classification on an aggregate level and the safe use of coding systems is an important precondition for comparability of data. This paper discusses the potentials of the use of XML in combination with a dictionary for the promotion and development of standard conformable applications for tumor documentation.

Documentation↗

PubMed1999

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↗

PubMed1999

Data warehousing as a tool for quality management in oncology.

At present, physicians are constrained by their limited skills to integrate and understand the growing amount of electronic medical information. To handle, extract, integrate, analyse and take advantage of the gathered information regarding the quality of patient care, the concept of a data warehouse seems to be especially interesting in medicine. Medical data warehousing allows the physicians to take advantage of all the operational data they have been collecting over the years. Our purpose is to build a data warehouse in order to use all available information about cancer patients. We think that with the sensible use of this tool, there are economic benefits for the Society and an improvement of quality of medical care for patients.

Ambulatory Care↗

PubMed1999

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↗

PubMed1999

Transferring data from one EPR to another: content--syntax--semantic.

When data are transmitted between electronic patient record (EPR) systems, we can distinguish several tasks. One task is the definition of structure and semantic content of the data in a message structure. Another task is the mapping of the sending EPR's structure to this message structure. A third task is the mapping of the message structure to the receiving EPR's structure. We describe an approach, which distinguishes clearly between these different tasks and activities. Using this approach we have implemented a data transfer procedure between a cancer registry application and a middleware for healthcare information systems. Our experience showed that the proposed systematic approach helped identify problems for data transfer in an early design phase. It also allowed us to limit modifications of the data exchange procedure to certain tasks or activities when one of the EPR applications was updated. In the end, we could even exchange the underlying message format without having to reimplement the complete interface.

Humans↗

PubMed1997

Application of a standard methodology for the development of messages and aspects of realization in the area of tumour documentation.

The "Methodology for the Development of Health Care Messages" was published in 1995 by CEN TC251. This contribution describes the application of the methodology in a project of developing messages for the exchange of tumour patient data. A standard data set, the "Basisdokumentation für Tumorkranke" was already available for the data of tumour documentation. The development of the messages as well as the design and implementation of a communication interface in a documentation system could therefore be carried out straight forward. Problems arise due to the import of data from different sources. Up to now, there is no standardized method for identifying patients and numbering of different tumours. An automated matching of new data to a specific patient or tumour is therefore not always possible. Methods are presented which try to make a compromise between fully automatic data import and complete user control.

Data Collection↗

PubMed1996

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↗

PubMed1995

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↗