Kristina Sygel, M. Danielson, L. Ekenberg, U. Fors
{"title":"Handling Imprecise Information in Emergency Psychiatric Care","authors":"Kristina Sygel, M. Danielson, L. Ekenberg, U. Fors","doi":"10.3233/978-1-61499-522-7-250","DOIUrl":null,"url":null,"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.","PeriodicalId":127449,"journal":{"name":"International Conference on System Science and Engineering","volume":"104 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2015-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Conference on System Science and Engineering","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.3233/978-1-61499-522-7-250","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1
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.