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A hierarchically-branching system is recommended for classifying published work in the field of cerebral asymmetry, and its rapid retrieval. It can readily accommodate partically everything published since 1965.
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We present a method for the automated acquisition of a multilingual medical lexicon (for Spanish and Swedish) to be used within the framework of a medical cross-language text retrieval system. We incorporate seed lexicons and parallel corpora derived from the UMLS Metathesaurus. The seed lexicons for Spanish and Swedish are automatically generated from (previously manually constructed) Portuguese, German and English sources. Lexical and semantic hypotheses are then validated making iterative use of co-occurrence patterns of hypothesized translation synonyms in the parallel corpora.
The first version of an automated data retrieval system in radiology, radiobiology and oncology has been developed in the Research Institute of Oncology and Medical Radiology of the Ministry of Health, Byelorussian Soviet Socialist Republic. The system is realized on the basis of a packet of applied programs of an automated document processing system, computerized data-bases of the All-Union Scientific and Technical Information Institute and the ES-1022 computer. The system functions in the following modes: 1--selective propagation of information on 194 fixed requests of users; 2--personal search in the dialogue mode; 3--updating of data files. The use of the automated system made it possible to enhance the effectiveness and quality of document search as compared to conventional forms of operation.
A computer program for the current statistical documentation and evaluation of CT diagnostic results is presented. A diagnostic key for the purposes of CT results has been developed. Special emphasis has been given to fast and simple applicability.
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The Wilmer Information System is a computerized medical information system used for the storage and retrieval of data pertaining to patient demographics, diagnosis, and therapy. The heart of the system is an expandable, hierarchical code based on International Classification of Diseases, 9th Revision (ICD-9) diagnosis codes and Physicians' Current Procedural Terminology procedure codes. Customized coding sheets containing highly specific diagnosis and procedure codes have been designed for each subspecialty area in ophthalmology. Interactive database management software facilitates data entry and retrieval. The system can be used to search for patients who meet very specific criteria, or to produce cumulative visit reports and summary statistics.
Doctors need clinical information during most consultations with patients, and much of this need could be satisfied by material from online sources. Advances in data communication technologies mean that multimedia information can be transported rapidly to various clinical care locations. However, selecting the few items of information likely to be useful in a particular clinical situation from the mass of information available is a major problem. Current information retrieval systems are designed primarily for use in research rather than clinical care. The design, implementation, and critical evaluation of new information retrieval systems for clinical care should be guided by knowledgeable clinical users.
To ensure the acceptance and routine use of information systems in healthcare tight coupling is required between the work practices of potential endusers and the systems functionalities and presentation of these functionalities via the user interface. The application of methods from cognitive engineering during requirement analysis may contribute to the support of healthcare work practice by computer systems. We applied the think aloud method in combination with video analysis during the requirement analysis phase in designing a user interface for a patient information retrieval system. These methods provided a detailed insight in the information needs of physicians and the way in which they search through this information in preparing a patient visit. Using these insights in endusers work practices in the early phase of user interface development may lead to a better fit between physicians' work practices and the supporting computer system.
Our group has built an information retrieval system based on a complex semantic markup of medical textbooks. We describe the construction of a set of web-based knowledge-acquisition tools that expedites the collection and maintenance of the concepts required for text markup and the search interface required for information retrieval from the marked text. In the text markup system, domain experts (DEs) identify sections of text that contain one or more elements from a finite set of concepts. End users can then query the text using a predefined set of questions, each of which identifies a subset of complementary concepts. The search process matches that subset of concepts to relevant points in the text. The current process requires that the DE invest significant time to generate the required concepts and questions. We propose a new system--called ACQUIRE (Acquisition of Concepts and Queries in an Integrated Retrieval Environment)--that assists a DE in two essential tasks in the text-markup process. First, it helps her to develop, edit, and maintain the concept model: the set of concepts with which she marks the text. Second, ACQUIRE helps her to develop a query model: the set of specific questions that end users can later use to search the marked text. The DE incorporates concepts from the concept model when she creates the questions in the query model. The major benefit of the ACQUIRE system is a reduction in the time and effort required for the text-markup process. We compared the process of concept- and query-model creation using ACQUIRE to the process used in previous work by rebuilding two existing models that we previously constructed manually. We observed a significant decrease in the time required to build and maintain the concept and query models.