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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. University of Skövde. (Skövde Artificial Intelligence Lab (SAIL), 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)ORCID iD: 0000-0003-4221-6013
University of Skövde, School of Bioscience. University of Skövde, The Systems Biology Research Centre. (Infektionsbiologi)
2017 (English)In: International Conference on Digital Human Modeling and Applications in Health, Safety, Ergonomics and Risk Management: DHM 2017: Digital Human Modeling. Applications in Health, Safety, Ergonomics, and Risk Management: Health and Safety, Cham: Springer, 2017, 23-35 p.Conference 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
Cham: Springer, 2017. 23-35 p.
Series
Part of the Lecture Notes in Computer Science book series (LNCS, volume 10287)
Keyword [en]
Clinical decision support, sepsis, guidelines, system transparency, electronic health record
National Category
Computer Science
Research subject
Skövde Artificial Intelligence Lab (SAIL)
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, DHM 2017, Held as Part of HCI International 2017, Vancouver, BC, Canada, July 9-14, 2017, Proceedings, Part II
Projects
SepsIT
Available from: 2017-08-11 Created: 2017-08-11 Last updated: 2017-08-14

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Publisher's full textScopushttps://link.springer.com/chapter/10.1007/978-3-319-58466-9_3

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CiteExportLink to record
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Citation style
  • apa
  • harvard1
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  • modern-language-association-8th-edition
  • vancouver
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More styles
Language
  • de-DE
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  • Other locale
More languages
Output format
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