Querying social practices in hospital context

Conference Paper (2018)
Author(s)

John Bruntse Larsen (Technical University of Denmark (DTU))

M.V. Dignum (TU Delft - Information and Communication Technology)

Jørgen Villadsen (Technical University of Denmark (DTU))

Frank Dignum (Universiteit Utrecht)

Research Group
Information and Communication Technology
Copyright
© 2018 John Bruntse Larsen, M.V. Dignum, Jørgen Villadsen, Frank Dignum
DOI related publication
https://doi.org/10.5220/0006580904050412
More Info
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Publication Year
2018
Language
English
Copyright
© 2018 John Bruntse Larsen, M.V. Dignum, Jørgen Villadsen, Frank Dignum
Research Group
Information and Communication Technology
Volume number
2
Pages (from-to)
405-412
ISBN (electronic)
9789897582752
Reuse Rights

Other than for strictly personal use, it is not permitted to download, forward or distribute the text or part of it, without the consent of the author(s) and/or copyright holder(s), unless the work is under an open content license such as Creative Commons.

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 can be used to answer operational queries about the expected outcome of operational actions.

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