| 1. |
- Larsen, John Bruntse, et al.
(författare)
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Querying Social Practices in Hospital Context
- 2018
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Ingår i: 10th International Conference on Agents and Artificial Intelligence.
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Konferensbidrag (refereegranskat)abstract
- Understanding the social contexts in which actions and interactions take place is of utmost importance for planning one’s goals and activities. People use social practices as means to make sense of their environment, assessing how that context relates to past, common experiences, culture and capabilities. Social practices can therefore simplify deliberation and planning in complex contexts. In the context of patient-centered planning, hospitals seek means to ensure that patients and their families are at the center of decisions and planning of the healthcare processes. This requires on one hand that patients are aware of the practices being in place at the hospital and on the other hand that hospitals have the means to evaluate and adapt current practices to the needs of the patients. In this paper we apply a framework for formalizing social practices of an organization to an emergency department that carries out patient-centered planning. We indicate how such a formalization
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| 2. |
- Mercuur, Rijk, et al.
(författare)
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Modelling the Social Practices of an Emergency Room to Ensure Staff and Patient Wellbeing
- 2018
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Ingår i: 30th Benelux Conference on Artificial Intelligence. ; , s. 133-147
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Konferensbidrag (refereegranskat)abstract
- Understanding the impact of activities is important for emergency rooms (ER) to ensure patient wellbeing and staff satisfaction. An ER is a complex social multi-agent system where staff members should understand the needs of patients, what their colleagues expect of them and how the treatment usually goes about. Decision support tools can contribute to this understanding as they can better manage complex systems and give insight into possible problems using formal methods. Social practices aim to capture this social dimension by focussing on the shared routines in a system, such as diagnosing or treating the patient. This paper uses the Web Ontology Language (OWL) to formalize social practices and then applies it to the ER domain. This results in an ontology that can be used as a basis for decision support tools based on formal reasoning, which we demonstrate by verifying a number of properties for our use case. These results also serve as an example for formalizing the social dimension of multi-agent systems in other domains.
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