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The authors performed this study to determine the accuracy of several text classification methods to categorize wrist x-ray reports. We randomly sampled 751 textual wrist x-ray reports. Two expert reviewers rated the presence (n = 301) or absence (n = 450) of an acute fracture of wrist. We developed two information retrieval (IR) text classification methods and a machine learning method using a support vector machine (TC-1). In cross-validation on [...]

To assess the acceptability and usage of a standalone personal digital assistant (PDA)-based clinical decision-support system (CDSS) for the diagnosis and management of acute respiratory tract infections (RTIs) in the outpatient setting.

To determine if clinician-selected electronic information resources improve primary care physicians' abilities to answer simulated clinical questions.

To describe the development and validation of low literacy English and Spanish versions of the 26-item Telemedicine Satisfaction and Usefulness Questionnaire (TSUQ), report telemedicine satisfaction and usefulness ratings of urban and rural participants in the Informatics for Diabetes Education and Telemedicine (IDEATel) project, and explore relationships between utilization and perceptions of satisfaction and usefulness.

Physicians have difficulty keeping up with new evidence from medical research.

A risk analysis framework was used to examine the implementation barriers that may hamper the successful implementation of interorganizational clinical information systems (ICIS). In terms of study design, an extensive literature review was first performed in order to elaborate a comprehensive model of project risk factors. To test the applicability of the model, we next conducted a longitudinal multiple-case study of two large-scale ICIS demonstration projects carried out in Quebec [...]

To identify types of clinical unintended adverse consequences resulting from computerized provider order entry (CPOE) implementation.

Acquiring and representing biomedical knowledge is an increasingly important component of contemporary bioinformatics. A critical step of the process is to identify and retrieve relevant documents among the vast volume of modern biomedical literature efficiently. In the real world, many information retrieval tasks are difficult because of high data dimensionality and the lack of annotated examples to train a retrieval algorithm. Under such a scenario, the performance of information retrieval [...]

Human classification of diagnoses is a labor intensive process that consumes significant resources. Most medical practices use specially trained medical coders to categorize diagnoses for billing and research purposes.