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Organizing medical networked information (OMNI).

The Internet has become a major source of biomedical information over the last 5 years. Several projects have recently been established to help users find respectable information sources quickly. OMNI (Organizing Medical Networked Information) is one such filtering and indexing project. OMNI has focused on the quality of information and the application to Internet resources of standard tools for organizing information such as the National Library of Medicine's Medical Subject Headings and the Dublin Core metadata format. Now two years old, the OMNI project fulfils a valuable role for the UK biomedical community, through its gateway service (http:@omni.ac.uk), its printed resource guides and its training workshop programme. OMNI is also a focus for biomedical metadata activities in the UK. The gateway continues to grow in size and further work on information quality issues and integration is planned.

Abstracting and Indexing↗
PubMed1999

The use of the Balanced ScoreCard (BSC) in the model for investment and evaluation of medical information systems.

This paper describes the use of the Balanced ScoreCard (BSC) in the MIEMIS meso-model (Model for Investment and Evaluation of Medical Information Systems). The scope of the MIEMIS model is to integrate the evaluation process into the whole lifecycle of an information system using both a prospective and a retrospective approach. We conclude, that the MIEMIS-model has benefited from implementing the BSC into the model due to the fact, that the BSC can support the project management work. This approach helps ensuring, that the new information systems are fulfilled according to the plan and with a balance between the four perspectives (financial, customer/user, internal, and innovation/learning perspective) to avoid that the financial aspect is the driving force in developing and implementing a new information system, for example.

Computer Simulation↗
PubMed2000

Modelling health care processes for eliciting user requirements: a way to link a quality paradigm and clinical information system design.

Hospital information systems have to support quality improvement objectives. The design issues of health care information system can be classified into three categories: 1) time-oriented and event-labelled storage of patient data; 2) contextual support of decision-making; 3) capabilities for modular upgrading. The elicitation of the requirements has to meet users' needs in relation to both the quality (efficacy, safety) and the monitoring of all health care activities (traceability). Information analysts need methods to conceptualize clinical information systems that provide actors with individual benefits and guide behavioural changes. A methodology is proposed to elicit and structure users' requirements using a process-oriented analysis, and it is applied to the field of blood transfusion. An object-oriented data model of a process has been defined in order to identify its main components: activity, sub-process, resources, constrains, guidelines, parameters and indicators. Although some aspects of activity, such as "where", "what else", and "why" are poorly represented by the data model alone, this method of requirement elicitation fits the dynamic of data input for the process to be traced. A hierarchical representation of hospital activities has to be found for this approach to be generalised within the organisation, for the processes to be interrelated, and for their characteristics to be shared.

Blood Transfusion↗
PubMed2006

[Description and integration of biomedical information resources by metadata].

With the development and utilization of computer techniques, Internet is playing an important role in information dissemination. There are abundant biomedical resources on the Internet. Accessing biomedical information is more dependent on the Internet than ever. It is important to explore new methods to describe and manage information resources. We have analyzed biomedical databases, search engines, web sites, and the metadata adopted by biomedical databases. The results show that biomedical information resources are characterized by electronic format, networking, dynamia, and dispersion. Describing a resource with metadata allows it to be understood by both humans and machines in ways that promote interoperability. Metadata interoperability has to be the underlying principle for networked information management. It directly impinges on information sharing, interchange, and accessibility across the boundaries of systems, languages, and geographic locations. We can use metadata to describe biomedical information and to integrate resources. It will benefit the people to access, select, and utilize biomedical information resources.

Computer Communication Networks↗
PubMed1994

Navigating the Internet.

Navigating any complex set of information resources requires tools for both browsing and searching. A number of tools are available today for using Internet resources, and more are being developed. This article reviews existing navigational tools, including two developed at the Yale University School of Medicine, and points out their strengths and weaknesses. A major shortcoming of the present Internet navigation methods is the lack of controlled descriptions of the available resources. As a result, navigating the Internet is very difficult.

Computer Communication Networks↗
PubMed2004

VISION2003: virtual learning units for medical training and education.

The project VISION2003 consists of several partners with different professions ranging from medicine to medical informatics, from computer science to didactics. Its aim is the development, testing, introduction and a long-time maintenance of an open, web-based, intelligent and adaptive teaching and learning system for medical education. The system is expected to enhance the acceptance and efficiency of conventional ways of learning by supplementing and supporting them and creating new methods for imparting knowledge ["VISION2003, Lehr-und Lernsysteme in der Medizin: Intelligente und Multimediale, Internetbasierte adaptive und intelligente Autorensysteme für kooperatives Training in der Medizin", (last valid on 17 January 2003) and Ein offenes sprachkonzept für verteilte wissensverarbeitung in der medizin, Tagungsabstract XVI International Congress of the European Federation for Medical Informatics MIE, September 2000]. This is done exemplarily in the specific fields of oncology, accident-surgery and cardiology in consideration of actual standards and didactical measures. The range of possible applications is wide, from electronically accessible scripts through example cases to complex simulations. The main focus of the project is the creation of an open and flexible internet platform for delivering multimedia-based learning units and the development of adaptive and intelligent authoring systems.

Computer-Assisted Instruction↗
PubMed1987

Computers in rheumatology.

The results of a nationwide survey of the use of computers in rheumatology departments in the UK is presented. The survey revealed a widespread interest in the various possible uses of computer hardware and software in the specialty, and highlighted the difference between the experience of those who use computers and the aspirations of those who hope to.

Medical Informatics Computing↗
PubMed2001

Chem-tox informatics: data mining using a medicinal chemistry building block approach.

Relating chemical structure to biological activity is not a new endeavor, however, the ability to do this on large datasets is just emerging. To cope with the enormous amounts of data being generated, an assortment of computational methods has been developed in the fields of chemoinformatics and computational toxicology. Many of the molecular descriptors used in these approaches are abstract, theoretical constructs that are difficult to understand and visualize. Having easily recognized chemical features, such as those in several new programs, will allow chemists to use toxicological information (or any biological information) when designing new libraries. These improved chem-tox informatics systems will have an impact on library design, hit and lead optimization, development candidate testing and regulatory review.

Animals↗
PubMed1995

HPCC and the National Information Infrastructure: an overview.

The National Information Infrastructure (NII) or "information superhighway" is a high-priority federal initiative to combine communications networks, computers, databases, and consumer electronics to deliver information services to all U.S. citizens. The NII will be used to improve government and social services while cutting administrative costs. Operated by the private sector, the NII will rely on advanced technologies developed under the direction of the federal High Performance Computing and Communications (HPCC) Program. These include computing systems capable of performing trillions of operations (teraops) per second and networks capable of transmitting billions of bits (gigabits) per second. Among other activities, the HPCC Program supports the national supercomputer research centers, the federal portion of the Internet, and the development of interface software, such as Mosaic, that facilitates access to network information services. Health care has been identified as a critical demonstration area for HPCC technology and an important application area for the NII. As an HPCC participant, the National Library of Medicine (NLM) assists hospitals and medical centers to connect to the Internet through projects directed by the Regional Medical Libraries and through an Internet Connections Program cosponsored by the National Science Foundation. In addition to using the Internet to provide enhanced access to its own information services, NLM sponsors health-related applications of HPCC technology. Examples include the "Visible Human" project and recently awarded contracts for test-bed networks to share patient data and medical images, telemedicine projects to provide consultation and medical care to patients in rural areas, and advanced computer simulations of human anatomy for training in "virtual surgery."

Computer Communication Networks↗
PubMed2002

Evaluation in health informatics: computer simulation.

The evaluation of complex medical informatics applications involves not only the information system, but also its impact on the organizational environment in which it is implemented. In instances where these applications cannot be evaluated with traditional experimental methods, computer simulation provides a flexible approach to evaluation. The construction of a computer simulation model involves the development of a model that represents important aspects of the system under evaluation. Once validated, the model can be used to study the effects of variation in system inputs, differences in initial conditions and changes in the structure of the system. Three examples are discussed, namely, a wide-area health care network, physician order entry into a hospital information system, and the use of an information system designed to prevent medical errors that lead to adverse drug events in hospitals.

Computer Simulation↗
PubMed1999

The CCC system in two teaching hospitals: a progress report.

Computing systems developed by the Center for Clinical Computing (CCC) have been in operation in Beth Israel and Brigham and Women's hospitals for over 10 years. Designed to be of direct benefit to doctors, nurses, and other clinicians in the care of their patients, the CCC systems give the results of diagnostic studies immediately upon request; offer access to the medical literature: give advice, consultation, alerts, and reminders; assist in the day-to-day practice to medicine, and participate directly in the education of medical students and house officers. The CCC systems are extensively used, even by physicians who are under no obligation to use them. Studies have shown that the systems are well received and that they help clinicians improve the quality of patient care. In addition, the CCC systems have had a beneficial impact on the finances of the two hospitals, and they have cost less than what many hospitals spend for financial computing alone.

Attitude↗