Decision-support System for Cancer Rehabilitation : Designing for Incorporating of Quantified Data into an Existing Practice

• Recent development in self-monitoring devices indicates that using quantified data in clinical practicesupporting 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, wetherefore focus on the ways healthcare professionalsuse quantified data in their practice. We draw onempirical data from an ethnographic study of a cancer rehabilitation center. Our preliminary findings suggestthat the self-monitoring tool supported the nurses'work because it became a functional complement totheir work by allowing them to appropriate the deviceto their and the patients' needs.

Ämnesord

NATURVETENSKAP  -- Data- och informationsvetenskap -- Systemvetenskap, informationssystem och informatik (hsv//swe)

NATURAL SCIENCES  -- Computer and Information Sciences -- Information Systems (hsv//eng)

TEKNIK OCH TEKNOLOGIER  -- Annan teknik -- Interaktionsteknik (hsv//swe)

ENGINEERING AND TECHNOLOGY  -- Other Engineering and Technologies -- Interaction Technologies (hsv//eng)

Nyckelord

Quantified data ; decision-support system ; clinical practice ; cancer rehabilitation

Informatik

Informatics

Quantified data ; decision-support system ; clinical practice ; cancer rehabilitation

Publikations- och innehållstyp

vet (ämneskategori)

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