Fundacao Sistema Estadual de Analise de Dados and the DOCPOP system.
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The very complex and specific knowledge about inborn errors of metabolism increases rapidly and is spread worldwide. Therefore an Internet platform for the acquisition of statistical knowledge (PATDB) and for the collection of the experience of experts (Metabolic diseases database) has been established. The success of diagnostic support highly depends on the way of knowledge representation. An information retrieval system for physicians will offer first insights about useful user interfaces and handling properties. Furthermore information fusion of biomedical systems to a Biomedical Workbench for the simulation of biochemical reactions is described.
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"Thanks to the Internet, researchers now have instant and easy access to reference sources and databases and in many cases, no longer have to pay search fees. Highlighted here are some of the most useful reference sources for population research on the Internet."
In response to the information needs of scientists and physicians who work in the field of vision, we have developed a direct-access, on-line specialized information retrieval system which combines computer-assisted instruction and bibliographic retrieval. An essential feature of the system is its accessibility via remote computer terminal. The key to the data base is a thesaurus which contains specific terminology arranged in a hierarchical structure. The thesaurus is used both for indexing the literature and for retrieving the information stored in the computer. Courses of instruction on selected subjects in ophthalmology have been programmed and form part of the data base. A search of the literature retrieval system by single subject, or by a combination of several subjects chosen from the thesaurus, retrieves the appropriate bibliographic citations. The response to the service offered by the Vision Information Center indicates that the center should expand its facilities to satisfy the needs of its clients.
Information retrieval systems are proliferating in biomedical settings, but many problems in indexing, retrieval, and evaluation of systems continue to exist. The SAPHIRE Project was undertaken to seek solutions to these problems. This paper summarizes the evaluation studies that have been done with SAPHIRE, highlighting the lessons learned and laying out the challenges ahead to all medical information retrieval efforts.
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SCOUT is an expert system designed to aid the practicing physician in searching a full-text database of biomedical literature for information in the domain of oncology. In the clinical setting, an information-retrieval system needs to provide only a few relevant documents that address a patient-specific query. SCOUT models the expertise of an oncologist and an information specialist in a probabilistic inference system; it applies expert heuristics both in selecting the best source of information for a particular question and in developing an effective, source-specific search statement that retrieves only a minimal number of pertinent documents.
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The Internet is not designed for efficient information retrieval. Searchers experience difficulties when trying to find information quickly. Once they find the information, they often cannot assess the validity of the information or its origin. Various Internet search engines and information retrieval systems try to facilitate this process to make the searching more efficient. Searchers use these services, which are usually free, to satisfy their information needs. Knowing when to use which search engine and how to use it is crucial to finding the right information in a timely fashion.
The system described in this paper uses the technological advances in information technology in order to influence and improve healthcare practice by enabling the flexible modelling, direct representation and adaptable use of medical knowledge. It aims at resolving a number of difficulties encountered by current information repositories, such as costly customization, reusability, high maintenance and poor information modelling, by employing the architecture of the functional data model (FDM), while maintaining full interoperability with existing systems by means of XML. On the information-modelling front the system supports a variety of modelling techniques that are especially relevant to medical applications, such as complex objects, incomplete or missing information, partially structured data and multimedia content. A prototype implementation of the system has been developed which consists of a multimedia-enhanced version of the functional database language FDL, and a web-based, two-way translator interface between the application's native language and XML. This interface provides full interoperability with other, heterogeneous systems over the web, thus, significantly reducing the complexity of developing distributed healthcare systems and e-health applications.
Medical language is in essence highly compositional, allowing complex information to be expressed from more elementary pieces. Embedding the expressive power of medical language into formal systems of representation is recognized in the medical informatics community as a key step towards sharing such information among medical record, decision support, and information retrieval systems. Accordingly, such representation requires managing both the expressiveness of the formalism and its computational tractability, while coping with the level of detail expected by clinical applications. These desiderata can be supported by enumerative as well as compositional approaches, as argued in this paper. These principles have been applied in recasting a frame-based system for general medical findings developed during the 1980s. The new system captures the precise meaning of a subset of over 1500 medical terms for general internal medicine identified from the Quick Medical Reference (QMR) lexicon. In order to evaluate the adequacy of this formal structure in reflecting the deep meaning of the QMR findings, a validation process was implemented. It consists of automatically rebuilding the semantic representation of the QMR findings by analyzing them through the RECIT natural language analyzer, whose semantic components have been adjusted to this frame-based model for the understanding task.
The rapid advances in computer and communication technology in the 1970's have enabled large interactive scientific and technical information retrieval systems to be implemented. Major search services today offer on-line access to millions of bibliographic citations and an increasing number of "electronic handbooks." In addition, development of knowledge bases is well under way. Despite the impressive speed and flexibility of interactive retrieval systems, their impact has been lessened by limited awareness of their existence, uneven quality of retrieval, inadequate linkages among data bases, and reliance on specially trained intermediaries.
Recent changes in the Italian health care system are causing a complex redefinition of the traditional principles of nursing. Among the new principles that are being proposed, the implementation of a clinical practice based on the evidence generated by the medical research community appears to be prominent. However, objective time constraints in finding and evaluating the available information have often hampered the achievement of this highly desirable goal. In this perspective, exploitation of the intrinsic quickness of the internet-based information retrieval systems has the potential to effectively circumvent the problem. To provide nurses with a proper training in a timely search and evaluation of on-line data, we have designed and developed a guide to those websites providing clinical information. This guide consists of (1) reviews of existing websites, and (2) proposal of a standardized model for selection, evaluation, and description of existing and newly appearing websites. We believe that this guide might increase the capability of nurses to effectively exploit the medical and scientific information resources available on the net.
BACKGROUND: The introduction of a new information retrieval system for the use of health service staff at a large tertiary referral hospital provided an excellent opportunity for nurses to make greater use of evidence to inform their practice. However, the extent to which nurses were able to access the resource was unknown. AIM: The aim of the study was to obtain this information and to test nurses' knowledge of computers and their attitudes to using them in their practice. METHODS: During October 2001 a computer use questionnaire was attached to the pay advice slips of all nursing staff at the Royal Brisbane and Royal Women's Hospital (n = 1708). Staff were asked to return their completed questionnaire in a preaddressed return envelope. To encourage this, a prize (a Gold Class cinema pass for two) was offered. RESULTS: Of the 1708 questionnaires distributed, 590 were returned, giving a 34.5% response rate. Computer use was influenced by education, nursing seniority, age, and length of time in the service and, to a lesser extent, gender. CONCLUSIONS: Information from the study has assisted planners and educators to identify clusters of nurses to target for interventions in this area. Results will also be used to assess the success of any interventions.
Record-keeping systems have provided an essential link that significantly increases milk production. As new technologies are introduced, they are integrated into total management programs that provide for proactive management. Maintenance of data flow, not only for the producer but also for other users, requires increased cooperation among the various sectors. Larger production units demand products that integrate production and economic parameters to plan strategically for maximum profitability.
An automated system for admissions of allied health students was developed to facilitate the progress of admissions for applicants to the programs of study at the State University of New York at Buffalo. The data collection process has removed the tedious clerical functions of admissions from the faculty. Summary information is provided for each applicant in the form and at the time each program requests it. Data will be retained as a base for a student information system. Information retrieval and research capability is enhanced.