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

The authors discuss the usability of an automated tool that supports entry, by clinical experts, of the knowledge necessary for forming high-level concepts and patterns from raw time-oriented clinical data.

The University of Utah has been educating health professionals in medical informatics since 1964. Over the 35 years since the program's inception, 272 graduate students have studied in the department. Most students have been male (80 percent) and have come from the United States (75 percent). Students entering the program have had diverse educational backgrounds, most commonly in medicine, engineering, computer science, or biology (59 percent of all informatics students) [...]

The expanding health information infrastructure offers the promise of new medical knowledge drawn from patient records. Such promise will never be fulfilled, however, unless researchers first address policy issues regarding the rights and interests of both the patients and the institutions who hold their records. In this article, the authors analyze the interests of patients and institutions in light of public policy and institutional needs. They conclude that the multicenter [...]

Describe and evaluate an Internet-based approach to patient decision support using mathematical models that predict the probability of successful treatment on the basis of meta-analytic summaries of the mean and standard deviation of symptom response.

Perrow's models of organizational technologies provide a framework for analyzing clinical work processes and identifying the management structures and informatics tools to support each model. From this perspective, health care is a mixed model in which knowledge workers require flexible management and a variety of informatics tools. A Venn diagram representing the content of clinical decisions shows that uncertainties in the components of clinical decisions largely determine which type of [...]

Informatics and information technology do not appear to be valued by the health industry to the degree that they are in other industries. The agenda for health informatics should be presented so that value to the health system is linked directly to required investment. The agenda should acknowledge the foundation provided by the current health system and the role of financial issues, system impediments, policy, and knowledge in effecting change [...]

Studies have suggested that rural physicians do not use MEDLINE to aid their clinical decision making, and yet rural physicians appear to be a group that would benefit greatly from the use of MEDLINE because of their isolation from libraries and colleagues. This study was undertaken to understand why a population so likely to benefit from the use of MEDLINE is not using it. The study confirmed that rural physicians [...]

While preference elicitation techniques have been effective in helping patients make decisions consistent with their preferences, little is known about whether information about patient preferences affects clinicians in clinical decision making and improves patient outcomes. The purpose of this study was to evaluate a decision support system for eliciting elderly patients' preferences for self-care capability and providing this information to nurses in clinical practice-specifically, its effect on nurses' care priorities [...]

Biomedical informatics, imaging, and engineering are major forces driving the knowledge revolutions that are shaping the agendas for biomedical research and clinical medicine in the 21st century. These disciplines produce the tools and techniques to advance biomedical research, and continually feed new technologies and procedures into clinical medicine. To sustain this force, an increased investment is needed in the physics, biomedical science, engineering, mathematics, information science, and computer science undergirding [...]