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Beyond Automation: Hybrid Human-Computer Decision Support Systems in HospitalsChristoph Niemann, Torsten Eymann
in:
Roy Sterrit, David W. Bustard, David Lewis, Joel J. Fleck II
(Hrsg.),
5th IEEE Workshop on Engineering of Autonomic and Autonomous Systems (EASe 2008),
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Abstract
Scheduling in hospitals is a decision problem that relies on encoded information (such as room assignments or diagnoses) as much as on non-encoded information (medical knowledge). To support clinical scheduling with information systems, both types of information and their respective carriers have to be incorporated in combination, thus always requiring a “human-in-the-loop”, which prohibits full autonomy. In contrast to other proposals in Autonomic Computing, this paper makes a case for a hybrid human–computer decision support system to support scheduling in hospitals that combines humans’ ability to improvise and to assess a situation, with computers’ ability to communicate quickly to achieve emergent self-organization. Furthermore, the paper outlines an approach to evaluate such a system.
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ISBN/ISSN: 978-0-7695-3140-3
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