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To determine whether there are statistically significant differences in the content of electronic mail (e-mail) and conventional mail sent to authors of papers published in medical journals.

The Unified Medical Language System (UMLS) combines many well-established authoritative medical informatics terminologies in one knowledge representation system. Such a resource is very valuable to the health care community and industry. However, the UMLS is very large and complex and poses serious comprehension problems for users and maintenance personnel. The authors present a representation to support the user's comprehension and navigation of the UMLS.

To design a pattern recognition engine based on concepts derived from mammalian immune systems.

Entity-attribute-value (EAV) representation is a means of organizing highly heterogeneous data using a relatively simple physical database schema. EAV representation is widely used in the medical domain, most notably in the storage of data related to clinical patient records. Its potential strengths suggest its use in other biomedical areas, in particular research databases whose schemas are complex as well as constantly changing to reflect evolving knowledge in rapidly advancing scientific [...]

Richard T. West, IAIMS (Integrated Advanced Information Management Systems) Program Officer at the National Library of Medicine for 13 years, reflects on the origin, development, effectiveness, and future of IAIMS efforts. He dwells on the changes that have taken place as the concept of IAIMS has evolved from a technology-based to an organization-based level of integration. The role of IAIMS in patient care, education, and research is discussed, along with [...]

This study examines how characteristics of clinical cases and physician users relate to the users' perceptions of the usefulness of the Quick Medical Reference (QMR) and their confidence in their diagnoses when supported by the decision support system.

The task of ad hoc classification is to automatically place a large number of text documents into nonstandard categories that are determined by a user. The authors examine the use of statistical information retrieval techniques for ad hoc classification of dictated mammography reports.

The American health care system is one of the world's largest and most complex industries. The Health Care Financing Administration reports that 1997 expenditures for health care exceeded one trillion dollars, or 13.5 percent of the gross domestic product. Despite these expenditures, over 16 percent of the U.S. population remains uninsured, and a large percentage of patients express dissatisfaction with the health care system. Managed care, effective in its ability [...]