Resumé

Recently, it has been demonstrated that end-users’ assessment of Business Intelligence (BI) systems’ success related as much to their evaluation of the system in question and tasks as to their occupation, gender, and educational background [4]. In this paper, we argue that these findings can be transferred to collaborative healthcare data-work, and that end-user segments should be considered in the development, implementation, and maintenance of collaborative decision-making systems in the health domain.
OriginalsprogEngelsk
Publikationsdatonov. 2018
Antal sider4
StatusUdgivet - nov. 2018

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Competitive intelligence
Decision making
Health

Citer dette

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title = "End-user segments in healthcare data work",
abstract = "Recently, it has been demonstrated that end-users’ assessment of Business Intelligence (BI) systems’ success related as much to their evaluation of the system in question and tasks as to their occupation, gender, and educational background [4]. In this paper, we argue that these findings can be transferred to collaborative healthcare data-work, and that end-user segments should be considered in the development, implementation, and maintenance of collaborative decision-making systems in the health domain.",
author = "Jonasen, {Tanja Svarre} and Rikke Gaardboe",
year = "2018",
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End-user segments in healthcare data work. / Jonasen, Tanja Svarre; Gaardboe, Rikke.

4 s. 2018, Artikel præsenteret på workshop: Data-work in healthcare, CSCW 2018.

Publikation: AndetAndet bidragForskning

TY - GEN

T1 - End-user segments in healthcare data work

AU - Jonasen, Tanja Svarre

AU - Gaardboe, Rikke

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N2 - Recently, it has been demonstrated that end-users’ assessment of Business Intelligence (BI) systems’ success related as much to their evaluation of the system in question and tasks as to their occupation, gender, and educational background [4]. In this paper, we argue that these findings can be transferred to collaborative healthcare data-work, and that end-user segments should be considered in the development, implementation, and maintenance of collaborative decision-making systems in the health domain.

AB - Recently, it has been demonstrated that end-users’ assessment of Business Intelligence (BI) systems’ success related as much to their evaluation of the system in question and tasks as to their occupation, gender, and educational background [4]. In this paper, we argue that these findings can be transferred to collaborative healthcare data-work, and that end-user segments should be considered in the development, implementation, and maintenance of collaborative decision-making systems in the health domain.

M3 - Other contribution

ER -