Handling imprecise information in emergency psychiatric care

Sygel, K., Danielson, M., Ekenberg, L. ORCID: https://orcid.org/0000-0002-0665-1889, & Fors, U. (2015). Handling imprecise information in emergency psychiatric care. In: New Trends on System Sciences and Engineering. Eds. Fujita, H. & Su, S.-F., Amsterdam: IOS Press. ISBN 978-161499521-0 10.3233/978-1-61499-522-7-250.

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Decision analytical methods have been utilized and demonstrated to be of use for a broad range of applications in medical contexts, from regular diagnostic strategies and treatment to the evaluation of diagnostic tests and prediction models and benefit-risk assessments. However, a number of issues still remain to be clarified, for instance ease of use, realism of the input data, long-term outcomes and integration into routine clinical work. In particular, it is questionable whether clinicians are capable of providing the specific and high-quality input data that many of the prevailing methods require, since there is very often a lack of complete and precise background information. This is not least the case within psychiatric emergency care where the information available often is of a highly qualitative nature, but there is nevertheless a need for deliberate decisions. This article demonstrates, using a fictive but perfectly realistic case, show a decision support system can be useful in recommending courses of action within psychiatric emergency situations requiring rapid decisions despite a lack of complete and precise information.

Item Type: Book Section
Uncontrolled Keywords: imprecise reasoning; medical decision making; prediction models
Research Programs: Risk & Resilience (RISK)
Exploratory and Special projects (ESP)
Risk, Policy and Vulnerability (RPV)
Bibliographic Reference: In: H. Fujita and S.-F. Su (Eds); New Trends on System Sciences and Engineering; IOS Press, Amsterdam, The Netherlands pp. 250-259 [2015]
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Depositing User: IIASA Import
Date Deposited: 15 Jan 2016 08:53
Last Modified: 27 Aug 2021 17:25
URI: https://pure.iiasa.ac.at/11564

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