Abstract
With the wake of digital welfare, governments advocate that patients play an active role in managing their own illnesses. This active role is sustained by access to and use of health data provided by health care authorities through new digital technologies. Stepping into an empirical site where patients log in to their own site, ‘MyChart’, we inquire their practices reading health care data and their imaginaries about active involvement in their own health care. With this, our analysis focuses on the active patient and aims to bring forth local imaginaries in an effort to nuance data imaginaries located in political strategies, which relate data access with active partnerships. Within this, we illustrate how patients are active, while data is silent and in need of work before it vocals meaningful for the patients.
Originalsprog | Engelsk |
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Titel | HCC: IFIP International Conference on Human Choice and Computers : Human-Centric Computing in a Data-Driven Society 14th IFIP TC 9 International Conference on Human Choice and Computers, HCC14 2020, Tokyo, Japan, September 9–11, 2020, Proceedings |
Redaktører | David Kreps, Taro Komukai, T. V. Gopal, Kaori Ishii |
Antal sider | 11 |
Vol/bind | 590 |
Forlag | Springer |
Publikationsdato | 10 nov. 2020 |
Sider | 398-408 |
ISBN (Trykt) | 978-3-030-62802-4 |
ISBN (Elektronisk) | 978-3-030-62803-1 |
DOI | |
Status | Udgivet - 10 nov. 2020 |
Begivenhed | 14th IFIP TC 9 International Conference on Human Choice and Computers, HCC14 2020: Human-Centric Computing in a Data-Driven Society - Cancelled due to covid, Tokyo, Japan Varighed: 9 sep. 2020 → 11 sep. 2020 Konferencens nummer: 14 https://hcc14.net/ |
Konference
Konference | 14th IFIP TC 9 International Conference on Human Choice and Computers, HCC14 2020 |
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Nummer | 14 |
Lokation | Cancelled due to covid |
Land/Område | Japan |
By | Tokyo |
Periode | 09/09/2020 → 11/09/2020 |
Internetadresse |
Navn | IFIP Advances in Information and Communication Technology |
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ISSN | 1868-4238 |
Emneord
- Digital health care
- Active patients
- Sociotechnical imaginaries
- Data work