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This study evaluated a computerized method for extracting numeric clinical measurements related to diabetes care from free text in electronic patient records (EPR) of general practitioners.

The goal of this research is to learn how the editorial staffs of bioinformatics and medical informatics journals provide support for cross-community exposure. Models such as co-citation and co-author analysis measure the relationships between researchers; but they do not capture how environments that support knowledge transfer across communities are organized.

The full impact of IT in health care has not been realized because of the failure to recognize that (1) the path from availability of applications to the anticipated benefits passes through a series of steps; and (2) progress can be stopped at any one of those steps. As a result, strategies for diffusion, adoption, and use have been incomplete and have produced disappointing results. In this paper, we present [...]

This paper describes NeuroExtract, a pilot system which facilitates the integrated retrieval of Internet-based information relevant to the neurosciences. The approach involved extracting descriptive metadata from the sources using domain-specific queries; retrieving, processing, and organizing the data into structured text files; searching the data files using text-based queries; and, providing the results in a Web page along with descriptions to entries and URL links to the original sources. NeuroExtract has [...]

The UMLS constitutes the largest existing collection of medical terms. However, little has been published about the users and uses of the UMLS. This study sheds light on these issues.

Determine effects of computer-based tutoring on diagnostic performance gains, meta-cognition, and acceptance using two different problem representations. Describe impact of tutoring on spectrum of diagnostic skills required for task performance. Identify key features of student-tutor interaction contributing to learning gains.