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Biomedical subjects

G De Moor

Publications and source records attributed to G De Moor.

At least 19 recordsLinked to original sources
PubMed2005

Design of a flexible platform for execution of medical decision support agents in the intensive care unit.

This paper addresses the design of a generic and scalable platform for the execution of medical decision support agents in the intensive care unit (ICU). As will be motivated, medical decision support agents can impose high computational load and in practical setups a large amount of such agents are typically running in parallel. Future ICU systems will rely on extensive medical decision support. However, in current systems only one workstation is typically dedicated for the execution of medical decision support agents. Therefore, we propose an architecture based on middleware technology to allow for easy distribution of the agents along multiple workstations. The architecture allows for easy integration with a general ICU data flow management architecture.

Computer Security↗
PubMed2005

The Healthgrid White Paper.

Over the last four years, a community of researchers working on Grid and High Performance Computing technologies started discussing the barriers and opportunities that grid technologies must face and exploit for the development of health-related applications. This interest lead to the first Healthgrid conference, held in Lyon, France, on January 16th-17th, 2003, with the focus of creating increased awareness about the possibilities and advantages linked to the deployment of grid technologies in health, ultimately targeting the creation of a European/international grid infrastructure for health. The topics of this conference converged with the position of the eHealth division of the European Commission, whose mandate from the Lisbon Meeting was "To develop an intelligent environment that enables ubiquitous management of citizens' health status, and to assist health professionals in coping with some major challenges, risk management and the integration into clinical practice of advances in health knowledge." In this context "Health" involves not only clinical procedures but covers the whole range of information from molecular level (genetic and proteomic information) over cells and tissues, to the individual and finally the population level (social healthcare). Grid technology offers the opportunity to create a common working backbone for all different members of this large "health family" and will hopefully lead to an increased awareness and interoperability among disciplines. The first HealthGrid conference led to the creation of the Healthgrid association, a non-profit research association legally incorporated in France but formed from the broad community of European researchers and institutions sharing expertise in health grids. After the second Healthgrid conference, held in Clermont-Ferrand on January 29th-30th, 2004, the need for a "white paper" on the current status and prospective of health grids was raised. Over fifty experts from different areas of grid technologies, eHealth applications and the medical world were invited to contribute to the preparation of this document.

Computer Communication Networks↗
PubMed2004

Synergy between medical informatics and bioinformatics: facilitating genomic medicine for future health care.

In this paper, we review the results of BIOINFOMED, a study funded by the European Commission (EC) with the purpose to analyse the different issues and challenges in the area where Medical Informatics and Bioinformatics meet. Traditionally, Medical Informatics has been focused on the intersection between computer science and clinical medicine, whereas Bioinformatics have been predominantly centered on the intersection between computer science and biological research. Although researchers from both areas have occasionally collaborated, their training, objectives and interests have been quite different. The results of the Human Genome and related projects have attracted the interest of many professionals, and introduced new challenges that will transform biomedical research and health care. A characteristic of the 'post genomic' era will be to correlate essential genotypic information with expressed phenotypic information. In this context, Biomedical Informatics (BMI) has emerged to describe the technology that brings both disciplines (BI and MI) together to support genomic medicine. In recognition of the dynamic nature of BMI, institutions such as the EC have launched several initiatives in support of a research agenda, including the BIOINFOMED study.

Biotechnology↗
PubMed1998

External quality assessment (EQA) of Belgian clinical laboratories. The telematics paradigm.

Technology that enables communication between information systems has recently become cheaper and more powerful. It is therefore timely to consider the effects of the introduction of such techniques in external quality assessment (EQA) schemes on both users and organizers. Traditionally, results are returned to EQA organizers as hand-written numbers on structured forms. These data are then manually entered into a computer. The process is time-consuming, slow (as it depends on the postal service), prone to error at every transcription stage, and expensive, as clerical staff must be employed to input the data. Computer-to-computer communication allows this process to be improved. A telematics system for electronic data interchange has been developed for the Belgian EQA programme and it offers several advantages, such as the use of standardized semantics, expression of results in laboratory familiar units, possible interface with the Laboratory Information System, faster data analysis, shorter report time and long-term performance evaluation.

Belgium↗
PubMed1998

A Dutch medical language processor: part II: evaluation.

This paper provides a preliminary evaluation of a general Dutch medical language processor (DMLP). Four examples of different potential applications (based on different linguistic modules) are presented, each with its own evaluation method. Finally, a critical review of the used evaluation methods is offered according to the state of the art in medical language processing.

Artificial Intelligence↗
PubMed1998

Medical language processing applied to extract clinical information from Dutch medical documents.

In this paper, we want to show how an existing morpho-syntactic analyser for Dutch (Dutch Medical Language Processor--DMLP) has been extended in order to produce output that is compatible with the language independent modules of the LSP-MLP system (Linguistic String Project--Medical Language Processor) of the New York University. The former can focus on idiosyncrasies for Dutch and take advantage of the language independent developments of the latter. This general strategy will be illustrated by a practical application, namely the extraction of clinical information from Dutch patient discharge summaries. Such an application can be of use for education, research and quality control purposes in a hospital environment.

Humans↗
PubMed1998

The distinction between linguistic and conceptual semantics in medical terminology and its implication for NLP-based knowledge acquisition.

Natural language understanding systems have to exploit various kinds of knowledge in order to represent the meaning behind texts. Getting this knowledge in place is often such a huge enterprise that it is tempting to look for systems that can discover such knowledge automatically. We describe how the distinction between conceptual and linguistic semantics may assist in reaching this objective, provided that distinguishing between them is not done too rigorously. We present several examples to support this view and argue that in a multilingual environment, linguistic ontologies should be designed as interfaces between domain conceptualizations and linguistic knowledge bases.

Artificial Intelligence↗
PubMed1997

Evolution of the Intranet in the University Hospital of Gent.

The explosive development of the internet in recent years has lead to the production of massive collections of web-based tools and development know-how. Implementing an Intranet solution within a health care environment offers tremendous advantages for internal information management, distribution and collaborative computing. Easy adaptability, scalability and the low development cost allow easy integration into existing health care structures. A key aspect of the UZ Gent Intranet is its transparent interaction with the currently implemented HIS thus providing an open gateway to the future.

Belgium↗
PubMed1997

From natural language to formal language: when MultiTALE meets GALEN.

In the GALEN project, the syntactic-semantic tagger MultiTALE is upgraded to extract knowledge from natural language surgical procedure expressions. In this paper, we describe the methodology applied and show that out of a randomly selected sample of such expressions, 81% could be analysed correctly. The problems encountered are summarised and areas of further investigation identified.

Humans↗
PubMed1996

A Dutch medical language processor.

This paper describes the current state of a medical language processor for Dutch. The goal is to implement a language specific front-end compatible with some existing applications that aim at the intelligent extraction and processing of information from patient discharge summaries. A complete chain for processing and understanding Dutch medical documents will be the ultimate result. The text focuses mainly on the language specific aspects of the language processing chain. Evaluation results of the already functioning components are given as well as an outline for future developments and enhancements. A short theoretical background is provided (cf. also [1-3]: Rossi Mori et al., Proc. SCAMC 90, 1990, pp. 185-189; Wingert, in: Informatics and Medicine, an advanced course, Springer-Verlag. 1977, pp. 579-646; Wingert, Proc. MEDINFO 80, 1980, pp. 1321-1331) before the description of each component in order to familiarise the non-experienced reader with the basic notions of computational linguistics.

Artificial Intelligence↗
PubMed1996

The research in semantics behind the OpenLabs coding system.

The OpenLabs coding system is an established, comprehensive, dynamic, flexible, open, multilingual European system which is tailored to meet the electronic data interchange (EDI) needs of medical laboratory users. The OpenLabs coding system, having many specific, independent classes and considerable flexibility, serves two different objectives: (i) unambiguous coding of entities present in messages used for EDI in clinical pathology; and (ii) interfacing with other nomenclatures and coding schemes to map concepts between different systems.

Classification↗
PubMed1994

The ACOSTA accompanying measure A2106.

At a time when the informatics and telecommunications industries are looking for new markets to exploit in relation, for example, to the emerging ISDN and broadband communications networks, there is a need to create a broad consensus in Europe by bringing together systematically the relevant industries including telecom service providers, health care providers, insurance organisations, standardisation experts and policy makers. The aim of the ACOSTA (Consensus Formation and Standardisation Promotion) Accompanying Measure is the creation of more general awareness of the relevant environment among all the parties, better specification of common requirements and options taking better account of the real needs of the users, and enlargement of the common market in health care telematics.

Computer Communication Networks↗
PubMed1994

OpenLabs: the application of advanced informatics and telematics for optimization of clinical laboratory services.

OpenLabs has four major objectives: to improve the efficiency and effectiveness of clinical laboratory services by the integration of Knowledge Based Systems (KBSs) with Laboratory Information Systems (LISs) and equipment; to provide and implement standard solutions for Electronic Data Interchange (EDI) between laboratories and other medical systems; to specify a fully Open architecture for an integrated Clinical LIS and demonstrate the integration of various KBS modules on the open architecture platform; and to demonstrate the integration of OpenLabs modules with existing LISs.

Clinical Laboratory Information Systems↗
PubMed1994

Development of standards and data quality control.

Health care expenses represent 6 to 10% of the Gross National Product in most European countries. This budget exceeds by far those devoted to Defence or Education. The rising cost of health care concerns all governments. In each country of the European Community, measures were and will further be taken in order to increase efficiency in the delivery of health care. Recent advances in information technology offer new opportunities to collect, process and exchange data to document health practices. In Belgium the Ministry of Public Health collects uniform medical summaries for all acute care hospital inpatients, while detailed health care activities are documented for each patient through a very precise billing system. The use of Minimal Clinical Data and Minimal Nursing Data Sets in hospitals became mandatory four years ago. The fundaments for any data collection is reliability, no matter what the preconceived aim was.

Belgium↗
PubMed1993

The explanatory role of events in causal and temporal reasoning in medicine.

The logic of time and the way we reason about time is intrinsically connected with the way we reason about causality. In this paper, we focus our attention on some of the less obvious ways in which reasoning about time and causality interact. It is explained why in temporal reasoning a firm distinction has to be made between the ontology, i.e., what happens, and the way we describe the ontology. Temporal events need to be redescribed in such a way that they causally explain why some of the events are followed by the others. While building a temporal/causal theory, certain events may be omitted, not because they do not play a causal role, but because they do not play an explanatory role. In doing so, it is possible to eliminate the distinction between theories representing time as dense, and theories that represent time as discrete.

Causality↗
PubMedDate not supplied

From syntactic-semantic tagging to knowledge discovery in medical texts.

In the GALEN project, the syntactic-semantic tagger MultiTALE is upgraded to extract knowledge from natural language surgical procedure expressions. In this paper, we describe the methodology applied and show that out of a randomly selected sample of such expressions coming from the procedure axis of Snomed International, 81% could be analysed correctly. The problems encountered fall in three different categories: unusual grammatical configurations within the Snomed terms, insufficient domain knowledge and different categorisation of concepts and semantic links in the domain and linguistic models used. It is concluded that the Multi-TALE system can be used to attach meaning to words that not have been encountered previously, but that an interface ontology mediating between domain models and linguistic models is needed to arrive at a higher level of independence from both particular languages and from particular domains.

Forecasting↗