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Evaluators must develop methods to characterize the use of the rapidly proliferating electronic networks that link patients with health services. In this article the 4-S framework is proposed for characterizing the use of health services delivered via computer networks. The utility of the 4-S framework is illustrated using data derived from a completed, randomized field experiment in which 47 caregivers of persons who had Alzheimer's disease accessed ComputerLink, a special [...]

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 [...]

From my viewpoint as a patient, 1. Medical knowledge has expanded to the point that individuals cannot adequately improve quality without the assistance of computer programs. 2. The medical profession must concentrate on why and how computer program projects must be used, not on why they cannot be used. 3. The successful application of computer programs to clinical medicine is dependent mainly on the efforts of individual institutions and people [...]

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.

Evaluate the performance of a continuous-speech interface to a decision support system.

This study investigated knowledge, opinions, and experience regarding dental informatics and computers among first-year dental students (D1s) and fourth-year dental students (D4s).

Research is producing increasing amounts of important new evidence for health care, but there is a large gap between what this evidence shows can be done and the care that most patients actually receive. An important reason for this gap is the extensive processing that evidence requires before application. This article discusses a three-step model for bridging research evidence to management of clinical problems: getting the evidence straight, formulating evidence-based [...]