Högskolan i Skövde

his.sePublications
Change search
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • apa-cv
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf
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)ORCID iD: 0000-0002-8181-4131
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, p. 23-35Conference 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. p. 23-35
Series
Lecture Notes in Computer Science, ISSN 0302-9743, E-ISSN 1611-3349 ; 10287
Keywords [en]
Clinical decision support, sepsis, guidelines, system transparency, electronic health record
National Category
Computer Sciences
Research subject
Skövde Artificial Intelligence Lab (SAIL); Infection Biology; INF301 Data Science; INF502 Biomarkers
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, id: 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
SepsITAvailable from: 2017-08-11 Created: 2017-08-11 Last updated: 2020-02-14Bibliographically approved

Open Access in DiVA

fulltext(247 kB)616 downloads
File information
File name FULLTEXT02.pdfFile size 247 kBChecksum SHA-512
52ed8f7c740ee057991eb4b45ad51fb85217931ddabde4ecf8f261dd62410e3d1d6e690e283a5050729676bbe564bc4125d762bfa350392f51e649a62f289bd1
Type fulltextMimetype application/pdf

Other links

Publisher's full textScopus

Authority records

Helldin, TovePernestig, Anna-KarinTilevik, Diana

Search in DiVA

By author/editor
Helldin, TovePernestig, Anna-KarinTilevik, Diana
By organisation
School of InformaticsThe Informatics Research CentreSchool of BioscienceThe Systems Biology Research Centre
Computer Sciences

Search outside of DiVA

GoogleGoogle Scholar
Total: 616 downloads
The number of downloads is the sum of all downloads of full texts. It may include eg previous versions that are now no longer available

doi
isbn
urn-nbn

Altmetric score

doi
isbn
urn-nbn
Total: 1379 hits
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • apa-cv
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf