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CDC WONDER is an information management architecture designed for public health. It provides access to information and communications without the user's needing to know the location of data or communication pathways and mechanisms. CDC WONDER users have access to extractions from some 40 databases; electronic mail (e-mail); and surveillance data processing. System components include the Remote Client, the Communications Server, the Queue Managers, and Data Servers and Process Servers. The [...]

To compare the performances of online and compact-disc (CD-ROM) versions of the National Library of Medicine's (NLM) MEDLINE database.

To examine the influences of situational and model factors on the accuracy of Bayesian learning systems.

The American Medical Informatics Association (AMIA) has begun the process of long-range strategic plan development. The AMIA Board of Directors established an Ad Hoc Strategic Planning Task Force, with the goal of initiating such planning in November 1992. In January 1993, the Task Force convened a group of AMIA members in order to develop an initial set of goals and objectives. The group consisted of past and present AMIA Board [...]

Development of methods for building concept models to support structured data entry and image retrieval in chest radiography.

Develop a representational schema for clinical concepts and apply it to the task of encoding radiology reports of the chest.

A general framework for representation of clinical data that provides a declarative semantics of terms and that allows developers to define explicitly the relationships among both terms and combinations of terms.