ABSTRACT
The application of upper ontologies has been repeatedly advocated for supporting interoperability between domain ontologies in order to facilitate shared data use both within and across disciplines. We have developed BioTop as a top-domain ontology to integrate more specialized ontologies in the biomolecular and biomedical domain. In this paper, we report on concrete integration problems of this ontology with the domain-independent Basic Formal Ontology (BFO) concerning the issue of fiat and aggregated objects in the context of different granularity levels. We conclude that the third BFO level must be ignored in order not to obviate cross-granularity integration.
Subject(s)
Information Storage and Retrieval , Medical Informatics Computing/classification , Systems Integration , Unified Medical Language System , Vocabulary, Controlled , Databases, Genetic/classification , Humans , Medical Informatics Applications , Programming Languages , User-Computer InterfaceABSTRACT
Medical information, which is the central notion in medical informatics, covers a large scale of structures and forms. Several classifications are possible and two criteria have been used in this paper: structural level and informational level. According to structural level we can distinguish three major areas: bioinformatics and neuroinformatics for molecular/cellular level, medical informatics for individual level and health informatics for community level and healthcare units. According to informational level the terms of data and knowledge are used and the representative information for each structural level is analysed also from this point of view: Finally, information transfer from living systems to computers is also seen through the structural point of view.
Subject(s)
Computational Biology/classification , Medical Informatics Computing/classification , Biological Science Disciplines , Cognitive Science , Delivery of Health Care , Humans , Medicine , RomaniaABSTRACT
A variety of methods have been proposed for presenting medical data visually on computers. Discussion of and comparison among these methods have been hindered by a lack of consistent terminology. A taxonomy of medical data presentations based on object-oriented user interface principles is presented. Presentations are divided into five major classes-list, table, graph, icon, and generated text. These are subdivided into eight subclasses with simple inheritance and four subclasses with multiple inheritance. The various subclasses are reviewed and examples are provided. Issues critical to the development and evaluation of presentations are also discussed.
Subject(s)
Audiovisual Aids , Computer Graphics/classification , Terminology as Topic , Data Interpretation, Statistical , Medical Informatics Computing/classification , User-Computer InterfaceABSTRACT
Los tests adaptativos informatizados (TAI) proporcionan puntuaciones y a la vez tiempos de respuesta a los ítems. La investigación sobre el significado adicional que se puede obtener de la información contenida en los tiempos de respuesta es de especial interés. Se dispuso de los datos de 5912 jóvenes en un test adaptativo informatizado. Estudios anteriores indican mayores tiempos de respuesta cuando las respuestas son incorrectas. Este resultado fue replicado en este estudio más amplio. No obstante, los tiempos promedios de respuesta al ítem para las respuestas erróneas y correctas no muestran una interpretación diferencial de la obtenida con los niveles de rasgo, y tampoco correlacionan de manera diferente con unos cuantos tests de capacidad. Se discute si los tiempos de respuesta deben ser interpretados en la misma dimensión que mide el TAI o en otras dimensiones. Desde los primeros años 30 los tiempos de respuesta han sido considerados indicadores de rasgos de personalidad que deben ser diferenciados de los rasgos que miden las puntuaciones del test. Esta idea es discutida y se ofrecen argumentos a favor y en contra. Los acercamientos mas recientes basados en modelos también se muestran. Permanece abierta la pregunta de si se obtiene o no información diagnóstica adicional de un TAI que tenga una toma de datos detallada y programada (AU)
Subject(s)
Adolescent , Adult , Female , Male , Humans , Psychometrics/methods , Reaction Time/physiology , Adaptation, Psychological/physiology , Personality Assessment , Personality/physiology , Medical Informatics Computing , Personality Tests/standards , Medical Informatics Computing/classification , Medical Informatics Computing/trendsABSTRACT
Multimedia has different meanings according to its context. Here, multimedia in the radiology environment is defined as the integration of multiple radiology and medical information systems to facilitate the practice of radiology. These information systems include the hospital information system, radiology information system, picture archiving and communication systems, voice reporting, library information systems, and electronic mail and file systems. The concept of multimedia within the context of integration of these database systems will be presented. An example is given on how to access these information systems by a radiologist's desktop personal computer.
