Artificial Software Agents as Representatives of Their Human Principals in Operating-Room-Team-Forming

Becker, Marc; Czap, Hans

doi:10.1007/3-540-32062-8_12

Cited by 3 publications

(1 citation statement)

References 6 publications

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“…There are different MAS available in the healthcare sector, which are at least in parts applicable to scheduling problems [1,28,24,31]. All these projects aim to relieve humans from decision making and try to fully automate it.…”

Section: Agent Based Approachmentioning

confidence: 99%

Beyond Automation: Hybrid Human-Computer Decision Support Systems in Hospitals

Niemann¹,

Eymann²

2008

Fifth IEEE Workshop on Engineering of Autonomic and Autonomous Systems (Ease 2008)

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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 humancomputer 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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Section: Agent Based Approachmentioning

confidence: 99%

Beyond Automation: Hybrid Human-Computer Decision Support Systems in Hospitals

Niemann¹,

Eymann²

2008

Fifth IEEE Workshop on Engineering of Autonomic and Autonomous Systems (Ease 2008)

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Entwicklungsphasen des Operations Research – Die Sicht eines Wirtschaftsinformatikers

Czap

2022

Ideengeschichte Der BWL II

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Agent-Based System Design for Service Process Scheduling: Challenges, Approaches and Opportunities

Dargahi

Wang

Bhuiyan

et al. 2012

Journal of Integrated Design &Amp; Process Science

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Compared with traditional manufacturing scheduling, service process scheduling poses additional challenges attributable to the significant customer involvement in service processes. In services, there are typically no inventoried products, which make the service provider's capacity more sensitive to dynamic changes. Service process scheduling objectives are also more complicated due to the consideration of customer preferences, customer waiting costs and human resource costs. After describing the Unified Services Theory and analysing its scheduling implications, this paper reviews the research literature on service process scheduling system design with a particular emphasis on agent-based approaches. Major issues in agent-based service process scheduling systems design are discussed and research opportunities are identified. The survey of the literature reveals that despite of many domainspecific designs in agent-based service process scheduling, there is a lack of general problem formulations, classifications, solution frameworks, and test beds. Constructing these general models for service process scheduling system design will facilitate the collaboration of researchers in this area and guide the effective development of integrated service process scheduling systems.

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Artificial Software Agents as Representatives of Their Human Principals in Operating-Room-Team-Forming

Cited by 3 publications

References 6 publications

Beyond Automation: Hybrid Human-Computer Decision Support Systems in Hospitals

Beyond Automation: Hybrid Human-Computer Decision Support Systems in Hospitals

Entwicklungsphasen des Operations Research – Die Sicht eines Wirtschaftsinformatikers

Agent-Based System Design for Service Process Scheduling: Challenges, Approaches and Opportunities

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