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Clinical information systems typically present patient data in chronologic order, organized by the source of the information (e.g., laboratory, radiology). This study evaluates the functionality and utility of a knowledge-based system that generates concept-oriented views (organized around clinical concepts such as disease or organ system) of clinical data.

This study sought to assess the ability of medical and nurse practitioner students to use MEDLINE to obtain evidence for answering clinical questions and to identify factors associated with the successful answering of questions.

To ascertain whether three-dimensional geometric and probabilistic reasoning methods can be successfully combined for computer-based assessment of conditions arising from ballistic penetrating trauma to the chest and abdomen.

To develop methods that automatically map abbreviations to their full forms in biomedical articles.

Despite the fact that nursing informatics is entering its third decade as a specialty within nursing, many definitions still exist to describe the field. This paper offers a rationale for a definition for nursing informatics and a critical analysis of past definitions. An organizing framework of technology-oriented, conceptual, and role-oriented definitions is used to critique these definitions. Subsequently, a revised definition is proposed. This evolutionary definition integrates critical concepts from [...]

A comprehensive data warehouse framework is needed, which encompasses imaging and non-imaging information in supporting disease management and research. The authors propose such a framework, describe general design principles and system architecture, and illustrate a multimodality neuroimaging data warehouse system implemented for clinical epilepsy research. The data warehouse system is built on top of a picture archiving and communication system (PACS) environment and applies an iterative object-oriented analysis and design [...]

In medical informatics research, study questions frequently involve individuals who are grouped into clusters. For example, an intervention may be aimed at a clinician (who treats a cluster of patients) with the intention of improving the health of individual patients. Correlation among individuals within a cluster can lead to incorrect estimates of the sample size required to detect an effect and inappropriate estimates of the confidence intervals and the statistical [...]

Problems involving drug knowledge are one of the most common causes of serious medication errors. Although the information that clinicians need is often available somewhere, retrieving it expeditiously has been problematic. At the same time, clinicians are faced with an ever-expanding pharmacology knowledge base. Recently, point-of-care technology has become more widely available and more practical with the advent of handheld, or palmtop, computing. Therefore, the authors evaluated the clinical contribution [...]