Change search
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • 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
Exploring ways to convey medical information during digital triage: A combined user research and machine learning approach
Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Division of Visual Information and Interaction.
Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Division of Visual Information and Interaction.
2019 (English)Independent thesis Advanced level (professional degree), 20 credits / 30 HE creditsStudent thesis
Abstract [en]

The aim of this project was to investigate what information is critical to convey to nurses when performing digital triage. In addition, the project aimed to investigate how such information could be visualized. This was done through a combined user research and machine learning approach, which enabled for a more nuanced and thorough investigation compared to only making use of one of the two fields.

There is sparse research investigating how digital triaging can be improved and made more efficient. Therefore, this study has contributed with new and relevant insights. Three machine learning algorithms were implemented to predict the right level of care for a patient. Out of these three, the random forest classifier proved to have the best performance with an accuracy of 69.46%, also having the shortest execution time. Evaluating the random forest classifier, the most important features were stated to be the duration and progress of the symptoms, allergies to medicine, chronic diseases and the patient's own estimation of his/her health. These factors could all be confirmed by the user research approach, indicating that the results from the approaches were aligned. The results from the user research approach also showed that the patients' own description of their symptoms was of great importance. These findings served as a basis for a number of visualization decisions, aiming to make the triage process as accurate and efficient as possible.

Place, publisher, year, edition, pages
2019. , p. 102
Series
UPTEC STS, ISSN 1650-8319 ; 19026
Keywords [en]
machine learning, user research, user experience, triage, auto triage, healthcare digitalization, personal health record, patient accessible electronic health record, patient reported outcome, medical information, visualization, design, prototypes, mediated communication
Keywords [sv]
maskininlärning, interaktionsdesign, användarupplevelse
National Category
Computer Sciences
Identifiers
URN: urn:nbn:se:uu:diva-386420OAI: oai:DiVA.org:uu-386420DiVA, id: diva2:1327558
Educational program
Systems in Technology and Society Programme
Supervisors
Examiners
Available from: 2019-06-25 Created: 2019-06-19 Last updated: 2019-08-15Bibliographically approved

Open Access in DiVA

fulltext(18422 kB)38 downloads
File information
File name FULLTEXT01.pdfFile size 18422 kBChecksum SHA-512
1a7c8e3ca212654fcd4d3e563b3fb3fea49a261cd4aae9fc8b285dcddb7157d61f42d3b30f7e6426974c29d2db9e9b1ae365cfb0b8dc5ce5c1f988500df36e61
Type fulltextMimetype application/pdf

By organisation
Division of Visual Information and Interaction
Computer Sciences

Search outside of DiVA

GoogleGoogle Scholar
Total: 38 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

urn-nbn

Altmetric score

urn-nbn
Total: 189 hits
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • 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