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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.
Abstract
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] |
| Related URLs: | |
| 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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