This article demonstrates the feasibility of a new computer technology, decision support systems (DSSs), to assist counselors with their clients in choosing a college major:

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Pioneering work on knowledge-based decision support started in the 1960ies ([9]), and even before. Progress in the 1970ies and 1980ies ([1], [15], see also [3], [4]) led to high expectations for contributions of this field to quality and efficiency in health care. On the other hand, we have to recognize that leading contributors of this field were in the 1990ies still asking about the field’s p...

INTRODUCTION Evaluations of computerized clinical decision support systems (CDSS) typically focus on clinical performance changes and do not include social, organizational, and contextual characteristics explaining use and effectiveness. Studies of CDSS for intensive insulin therapy (IIT) are no exception, and the literature lacks an understanding of effective computer-based IIT implementation ...

A critiquing system evaluating a physician's management plan may produce a set of individual comments that, taken together, appear repetitious or incoherent. This paper presents TraumaGEN, a system for integrating sets of possibly inter-related communicative goals into one or more coherent messages. TraumaGEN takes account of the purpose of the messages, the situation in which the messages will...

This document is in the public domain and may be used and reprinted without permission, except for any copyrighted materials noted, for which further reproduction is prohibited without the specific permission of the copyright holders. Suggested Citation: Karsh B-T. Clinical practice improvement and redesign: how change in workflow can be supported by clinical decision support. The findings and ...

We describe an approach for developing knowledge-based medical decision support systems based on the new technology of case-based reasoning. This work is based on the results of the Inreca European project and preliminary results from the Inreca + project which mainly deals with medical applications. One goal was to start from case-based reasoning technology for technical diagnosis and 'scale-u...

Large scale implementation of telemedicine services such as telemonitoring and teletreatment will generate huge amounts of clinical data. Even small amounts of data from continuous patient monitoring cannot be scrutinised in real time and round the clock by health professionals. In future huge volumes of such data will have to be routinely screened by intelligent software systems. We investigat...