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Decision-support system for cancer rehabilitation: designing for incorporating of quantified data into an existing practice

Published: 29 September 2018 Publication History

Abstract

Recent development in self-monitoring devices indicates that using quantified data in clinical practice supporting chronic diseases management holds a big potential. However, exploration of this design space also suggests that some unattended challenges still exist, such as a low adoption rate of self-monitoring tools in existing clinical practice. In this text, we therefore focus on the ways healthcare professionals use quantified data in their practice. We draw on empirical data from an ethnographic study of a cancer rehabilitation center. Our preliminary findings suggest that the self-monitoring tool supported the nurses' work because it became a functional complement to their work by allowing them to appropriate the device to their and the patients' needs.

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Cited By

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  • (2020)Nurses’ work practices in design: managing the complexity of painJournal of Workplace Learning10.1108/JWL-05-2019-006232:2(135-146)Online publication date: 2-Jan-2020
  • (2020)Changing Categorical Work in Healthcare: the Use of Patient-Generated Health Data in Cancer RehabilitationComputer Supported Cooperative Work10.1007/s10606-020-09383-z29:5(563-586)Online publication date: 1-Oct-2020
  • (2019)Co-designing a digital platform with boundary objects: bringing together heterogeneous users in healthcareHealth and Technology10.1007/s12553-019-00332-59:4(425-438)Online publication date: 20-May-2019

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cover image ACM Other conferences
NordiCHI '18: Proceedings of the 10th Nordic Conference on Human-Computer Interaction
September 2018
1002 pages
ISBN:9781450364379
DOI:10.1145/3240167
Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 29 September 2018

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Author Tags

  1. cancer rehabilitation
  2. clinical practice
  3. decision-support system
  4. quantified data

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  • Extended-abstract

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NordiCHI'18
NordiCHI'18: Nordic Conference on Human-Computer Interaction
September 29 - October 3, 2018
Oslo, Norway

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NordiCHI '18 Paper Acceptance Rate 59 of 240 submissions, 25%;
Overall Acceptance Rate 379 of 1,572 submissions, 24%

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Cited By

View all
  • (2020)Nurses’ work practices in design: managing the complexity of painJournal of Workplace Learning10.1108/JWL-05-2019-006232:2(135-146)Online publication date: 2-Jan-2020
  • (2020)Changing Categorical Work in Healthcare: the Use of Patient-Generated Health Data in Cancer RehabilitationComputer Supported Cooperative Work10.1007/s10606-020-09383-z29:5(563-586)Online publication date: 1-Oct-2020
  • (2019)Co-designing a digital platform with boundary objects: bringing together heterogeneous users in healthcareHealth and Technology10.1007/s12553-019-00332-59:4(425-438)Online publication date: 20-May-2019

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