Ali Gerhard Tafazzoli
University of Giessen
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Medical Informatics and The Internet in Medicine | 2001
Simon Hoelzer; Ralf Schweiger; Hanno A. Boettcher; Ali Gerhard Tafazzoli; Joachim Dudeck
The purpose of guidelines in clinical practice is to improve the effectiveness and efficiency of clinical care. It is known that nationally or internationally produced guidelines which, in particular, do not involve medical processes at the time of consultation, do not take local factors into account, and have no consistent implementation strategy, have limited impact in changing either the behaviour of physicians, or patterns of care. The literature provides evidence for the effectiveness of computerization of CPGs for increasing compliance and improving patient outcomes. Probably the most effective concepts are knowledge-based functions for decision support or monitoring that are integrated in clinical information systems. This approach is mostly restricted by the effort required for development and maintenance of the information systems and the limited number of implemented medical rules. Most of the guidelines are text-based, and are primarily published in medical journals and posted on the internet. However, internet-published guidelines have little impact on the behaviour of physicians. It can be difficult and time-consuming to browse the internet to find (a) the correct guidelines to an existing diagnosis and (b) and adequate recommendation for a specific clinical problem. Our objective is to provide a web-based guideline service that takes as input clinical data on a particular patient and returns as output a customizable set of recommendations regarding diagnosis and treatment. Information in healthcare is to a very large extent transmitted and stored as unstructured or slightly structured text such as discharge letters, reports, forms, etc. The same applies for facilities containing medical information resources for clinical purposes and research such as text books, articles, guidelines, etc. Physicians are used to obtaining information from text-based sources. Since most guidelines are text-based, it would be practical to use a document-based solution that preserves the original cohesiveness. The lack of structure limits the automatic identification and extraction of the information contained in these resources. For this reason, we have chosen a document-based approach using eXtensible Markup Language (XML) with its schema definition and related technologies. XML empowers the applications for in-context searching. In addition it allows the same content to be represented in different ways. Our XML reference clinical data model for guidelines has been realized with the XML schema definition. The schema is used for structuring new text-based guidelines and updating existing documents. It is also used to establish search strategies on the document base. We hypothesize that enabling the physicians to query the available CPGs easily, and to get access to selected and specific information at the point of care will foster increased use. Based on current evidence we are confident that it will have substantial impact on the care provided, and will improve health outcomes.The purpose of guidelines in clinical practice is to improve the effectiveness and efficiency of clinical care. It is known that nationally or internationally produced guidelines which, in particular, do not involve medical processes at the time of consultation, do not take local factors into account, and have no consistent implementation strategy, have limited impact in changing either the behaviour of physicians, or patterns of care. The literature provides evidence for the effectiveness of computerization of CPGs for increasing compliance and improving patient outcomes. Probably the most effective concepts are knowledge-based functions for decision support or monitoring that are integrated in clinical information systems. This approach is mostly restricted by the effort required for development and maintenance of the information systems and the limited number of implemented medical rules. Most of the guidelines are text-based, and are primarily published in medical journals and posted on the internet. However, internet-published guidelines have little impact on the behaviour of physicians. It can be difficult and time-consuming to browse the internet to find (a) the correct guidelines to an existing diagnosis and (b) and adequate recommendation for a specific clinical problem. Our objective is to provide a web-based guideline service that takes as input clinical data on a particular patient and returns as output a customizable set of recommendations regarding diagnosis and treatment. Information in healthcare is to a very large extent transmitted and stored as unstructured or slightly structured text such as discharge letters, reports, forms, etc. The same applies for facilities containing medical information resources for clinical purposes and research such as text books, articles, guidelines, etc. Physicians are used to obtaining information from text-based sources. Since most guidelines are text-based, it would be practical to use a document-based solution that preserves the original cohesiveness. The lack of structure limits the automatic identification and extraction of the information contained in these resources. For this reason, we have chosen a document-based approach using eXtensible Markup Language (XML) with its schema definition and related technologies. XML empowers the applications for in-context searching. In addition it allows the same content to be represented in different ways. Our XML reference clinical data model for guidelines has been realized with the XML schema definition. The schema is used for structuring new text-based guidelines and updating existing documents. It is also used to establish search strategies on the document base. We hypothesize that enabling the physicians to query the available CPGs easily, and to get access to selected and specific information at the point of care will foster increased use. Based on current evidence we are confident that it will have substantial impact on the care provided, and will improve health outcomes.
International Journal of Medical Informatics | 2002
Udo Altmann; Ali Gerhard Tafazzoli; Frank Rüdiger Katz; Joachim Dudeck
Disease specific systems usually offer excellent functionality for the management of the covered diseases. But the restriction to a certain disease often hampers their wide spread use since they are not optimised for clinical workflow. The Giessener Tumordokumentationssystem (GTDS) is a disease specific system that 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. However, interfaces are not satisfactory since they do not 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 XML to communicate with API-like services and created a WWW environment to demonstrate the access to these services. Since HTML based access 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. Another application using the services is the transfer of data between two registries with common patients.
Artificial Intelligence in Medicine | 2002
Ali Gerhard Tafazzoli; Udo Altmann; Thomas Bürkle; Simon Hölzer; Joachim Dudeck
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.
Archive | 2000
Ralf Schweiger; Ali Gerhard Tafazzoli; Joachim Dudeck
american medical informatics association annual symposium | 1999
Ali Gerhard Tafazzoli; Udo Altmann; Werner Wächter; Frank Rüdiger Katz; Simon Hölzer; Joachim Dudeck
medical informatics europe | 1999
Simon Hölzer; Ali Gerhard Tafazzoli; Udo Altmann; Werner Wächter; Joachim Dudeck
american medical informatics association annual symposium | 1999
Udo Altmann; Ali Gerhard Tafazzoli; Guido Noelle; T. Huybrechts; Ralf Schweiger; Werner Wächter; Joachim Dudeck
Studies in health technology and informatics | 2001
Udo Altmann; Ali Gerhard Tafazzoli; Frank Rüdiger Katz; Joachim Dudeck
Studies in health technology and informatics | 2000
Udo Altmann; J. Dudeck; Eisinger B; Kunath H; Schott G; Kurbjuhn H; Werner Wächter; Ali Gerhard Tafazzoli; Frank Rüdiger Katz
medical informatics europe | 1999
Udo Altmann; Werner Wächter; Ali Gerhard Tafazzoli; Frank Rüdiger Katz; Ralf Schweiger; Joachim Dudeck