Search AMIA.org

This article explores the application of normative decision theory (NDT) to the challenge of facilitating and measuring patient satisfaction. Patient satisfaction is the appraisal, by an individual, of the extent to which the care provided has met that individual's expectations and preferences. Classic decision analysis provides a graphic and computational strategy to link patient preferences for outcomes to the treatment choices likely to produce the outcomes. Multiple criteria models enable [...]

Predict the behavior and estimate the telecommunication cost of a wide-area message store-and-forward network for health care providers that uses the telephone system.

There is an urgent need to capture and record data related to clinical outcomes, but there are many barriers. The range of problems includes lack of agreement on conceptualization of the term "outcome," inadequate measures of outcomes, and inadequate information systems to capture and manipulate data that would reflect outcomes. This article focuses on information system requirements to capture, store, and utilize clinical outcome data. For greatest accuracy, outcome data [...]

In recent decades there have been major advances in the creation and implementation of information technologies and in the development of measures of health care quality. The premise of this article is that informatics provides essential infrastructure for quality assessment and improvement in nursing. In this context, the term quality assessment and improvement comprises both short-term processes such as continuous quality improvement (CQI) and long-term outcomes management. This premise is [...]

Health care delivery systems and organizations around the world are undergoing reorganization and reengineering. Rational decision making about such activities must be based on information. Much of the presently available data is inadequate for this task, and therefore needs to be transformed. One such experience in the province of Alberta, Canada, is discussed. The development of a comprehensive information strategy, the need to apply information management principles, the organizational implications [...]

Conceptual models for diagnostic reasoning proposed in the medical literature are presented to stimulate discussion about the issue of the appropriateness of probabilistic knowledge-based systems for medical diagnosis. Evidence is presented to corroborate the authors' view that diagnosis is a problem-solving task, rather than a decision-making task. In the authors' opinion, probabilistic reasoning is better suited to situations dealing with choices for clinical intervention, rather than to those dealing with [...]

Develop a model for structured and encoded representation of medical information that supports human review, decision support applications, ad hoc queries, statistical analysis, and natural-language processing.