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The use of icons and other graphical components in user interfaces has become nearly ubiquitous. The interpretation of such icons is based on the assumption that different users perceive the shapes similarly. At the most basic level, different users must agree on which shapes are similar and which are different. If this similarity can be measured, it may be usable as the basis to design better icons.

The aim of this study was to preliminarily determine the feasibility of probabilistically generating problem-specific computerized provider order entry (CPOE) pick-lists from a database of explicitly linked orders and problems from actual clinical cases.

The aim of this study was to develop and evaluate a method of extracting noun phrases with full phrase structures from a set of clinical radiology reports using natural language processing (NLP) and to investigate the effects of using the UMLS(R) Specialist Lexicon to improve noun phrase identification within clinical radiology documents.

Patient use of online electronic medical records (EMR) holds the potential to improve health outcomes. The purpose of this study is to discover how patients living with chronic inflammatory bowel disease (IBD) value Internet-based patient access to electronic patient records.

To assess the impact of clinicians' use of an online information retrieval system on their performance in answering clinical questions.

Information retrieval studies that involve searching the Internet or marking phrases usually lack a well-defined number of negative cases. This prevents the use of traditional interrater reliability metrics like the kappa statistic to assess the quality of expert-generated gold standards. Such studies often quantify system performance as precision, recall, and F-measure, or as agreement. It can be shown that the average F-measure among pairs of experts is numerically identical to [...]

In an effort to improve patient safety, researchers at the Johns Hopkins University designed and implemented a comprehensive Web-based Intensive Care Unit Safety Reporting System (ICUSRS). The ICUSRS collects data about adverse events and near misses from all staff in the ICU. This report reflects data on 854 reports from 18 diverse ICUs across the United States. Reporting is voluntary, and data collected is confidential, with patient, provider, and reporter [...]

To identify the most frequent obstacles preventing physicians from answering their patient-care questions and the most requested improvements to clinical information resources.

OBJECTIVE Finding the best scientific evidence that applies to a patient problem is becoming exceedingly difficult due to the exponential growth of medical publications. The objective of this study was to apply machine learning techniques to automatically identify high-quality, content-specific articles for one time period in internal medicine and compare their performance with previous Boolean-based PubMed clinical query filters of Haynes et al. DESIGN The selection criteria of the ACP [...]

The authors describe a client-server approach to three-dimensional (3-D) visualization of neuroimaging data, which enables researchers to visualize, manipulate, and analyze large brain imaging datasets over the Internet. All computationally intensive tasks are done by a graphics server that loads and processes image volumes and 3-D models, renders 3-D scenes, and sends the renderings back to the client. The authors discuss the system architecture and implementation and give several examples [...]