Search AMIA.org

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

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

The Canon Group is an informal organization of medical informatics researchers who are working on the problem of developing a "deeper" representation formalism for use in exchanging data and developing applications. Individuals in the group represent experts in such areas as knowledge representation and computational linguistics, as well as in a variety of medical subdisciplines. All share the view that current mechanisms for the characterization of medical phenomena are either [...]

To design and develop a computer-based health-care record system to address the needs of the patients and providers of a homeless population.

Develop a representation of clinical observations and actions and a method of processing free-text patient documents to facilitate applications such as quality assurance.

Direct computer-based physician order entry has been the subject of debate for over 20 years. Many sites have implemented systems successfully. Others have failed outright or flirted with disaster, incurring substantial delays, cost overruns, and threatened work actions. The rationale for physician order entry includes process improvement, support of cost-conscious decision making, clinical decision support, and optimization of physicians' time. Barriers to physician order entry result from the changes required [...]

To analyze the terms used by nurses in a variety of data sources and to test the feasibility of using SNOMED III to represent nursing terms.