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Towards a Clinical Support System for the Early Diagnosis of Sepsis
University of Skövde, School of Informatics. University of Skövde, The Informatics Research Centre. (Skövde Artificial Intelligence Lab (SAIL))ORCID iD: 0000-0001-6245-5850
University of Skövde, School of Bioscience. University of Skövde, The Systems Biology Research Centre. (Infektionsbiologi, Infection Biology)ORCID iD: 0000-0003-4221-6013
University of Skövde, School of Bioscience. University of Skövde, The Systems Biology Research Centre. (Infektionsbiologi, Infection Biology)
2017 (English)In: Digital Human Modeling - Applications in Health, Safety, Ergonomics, and Risk Management: Health and Safety: 8th International Conference, DHM 2017 Held as Part of HCI International 2017 Vancouver, BC, Canada, July 9–14, 2017, Proceedings, Part II / [ed] Vincent G. Duffy, Springer, 2017, 23-35 p.Conference paper, Published paper (Refereed)
Abstract [en]

Early and accurate diagnosis of sepsis is critical for patientsafety. However, this is a challenging task due to the very general symptomsassociated with sepsis, the immaturity of the tools used by theclinicians as well as the time-delays associated with the diagnostic methodsused today. This paper explores current literature regarding guidelinesfor clinical decision support, and support for sepsis diagnosis inparticular, together with guidelines extracted from interviews with fourclinicians and one biomedical analyst working at a hospital and clinicallaboratory in Sweden. The results indicate the need for the developmentof visual and interactive aids for enabling early and accurate diagnosisof sepsis.

Place, publisher, year, edition, pages
Springer, 2017. 23-35 p.
Series
Lecture Notes in Computer Science, ISSN 0302-9743, E-ISSN 1611-3349 ; 10287
Keyword [en]
Clinical decision support, sepsis, guidelines, system transparency, electronic health record
National Category
Computer Sciences
Research subject
Skövde Artificial Intelligence Lab (SAIL); Infection Biology
Identifiers
URN: urn:nbn:se:his:diva-13975DOI: 10.1007/978-3-319-58466-9_3Scopus ID: 2-s2.0-85025140829ISBN: 978-3-319-58466-9 (electronic)ISBN: 978-3-319-58465-2 (print)OAI: oai:DiVA.org:his-13975DiVA: diva2:1130789
Conference
8th International Conference on Digital Human Modeling and Applications in Health, Safety, Ergonomics, and Risk Management, DHM 2017, held as part of 19th International Conference on Human-Computer Interaction, HCI 2017, Vancouver, Canada, July 9–14, 2017
Projects
SepsIT
Available from: 2017-08-11 Created: 2017-08-11 Last updated: 2018-01-13Bibliographically approved

Open Access in DiVA

The full text will be freely available from 2018-08-01 00:01
Available from 2018-08-01 00:01

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Helldin, TovePernestig, Anna-KarinTilevik, Diana

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