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Identifying the Need of Self-reported Data and Self-measurements for Diagnosis and Treatment of Cancer
Department of Information Technology, Uppsala University, Uppsala, Sweden.
Department of Information Technology, Uppsala University, Uppsala, Sweden.
School of Electrical Engineering and Computer Science, KTH Royal Institute of Technology, Stockholm, Sweden; Institute of Informatics, TH Köln University of Applied Sciences, Gummersbach, Germany.
Örebro University, Örebro University School of Business.ORCID iD: 0000-0002-2597-1079
2018 (English)Conference paper, Published paper (Other academic)
Abstract [en]

Today, numerous data sources are available to healthcare professionals for diagnosing and treating cancer, but there are also data captured by patients, e.g. related to daily progress, which are not readily accessible to healthcare. In this workshop, we will use the critical incidents technique to inspire participants to elaborate on the need of using new data collections and measurements, for example from continuous self-tracking, as well as utilizing already existing data in new ways for diagnoses and treatment of cancer. Real-life critical incidents related to patients, healthcare professionals, and researchers, will be discussed and used as a basis for scenarios that will illustrate future visions of how self-reported data and self-measurements should be used in combination with existing data sources.

Place, publisher, year, edition, pages
2018.
National Category
Information Systems, Social aspects
Identifiers
URN: urn:nbn:se:oru:diva-71661OAI: oai:DiVA.org:oru-71661DiVA, id: diva2:1281379
Conference
Medical Informatics Europe (MIE 2018), Gothenburg, Sweden, April 24-26, 2018
Available from: 2019-01-22 Created: 2019-01-22 Last updated: 2019-01-22Bibliographically approved

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Scandurra, Isabella

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CiteExportLink to record
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Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
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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