Data Paradoxes
Why healthcare cannot—and should not—become data-driven, despite the many promises of intensified data sourcing.In contemporary healthcare, everybody seems to want more data, of higher quality, on more people, and to use this data for a wider range of purposes. In theory, such pervasive data collect...
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| Materialtyp: | Online |
| Språk: | engelska |
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The MIT Press
2023
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| Länkar: | ONIX_20230731_9780262374156_19 |
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| _version_ | 1869517137119281152 |
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| author | Hoeyer, Klaus |
| author_browse | Hoeyer, Klaus |
| author_facet | Hoeyer, Klaus |
| author_sort | Hoeyer, Klaus |
| collection | Directory of Open Access Books |
| description | Why healthcare cannot—and should not—become data-driven, despite the many promises of intensified data sourcing.In contemporary healthcare, everybody seems to want more data, of higher quality, on more people, and to use this data for a wider range of purposes. In theory, such pervasive data collection should lead to a healthcare system in which data can quickly, efficiently, and unambiguously be interpreted and provide better care for patients, more efficient administration, enhanced options for research, and accelerated economic growth. In practice, however, data are difficult to interpret and the many purposes often undermine one another. In this book, anthropologist and STS scholar Klaus Hoeyer offers an in-depth look at the paradoxes surrounding healthcare data.Focusing on Denmark, a world leader in healthcare data infrastructures, Hoeyer shares the perspectives of different stakeholders, from epidemiologists to hospital managers, from patients to physicians, analyzing the social dynamics set in motion by data intensification and calling special attention to that which cannot be easily coded in a database. He illustrates how data can be at once helpful, overwhelming, and sometimes disastrous through concrete examples. The COVID-19 pandemic serves as a special closing case study that shows how these data paradoxes carry weighty political implications. By revealing the diverse and sometimes contradictory practices spawned by intensified data sourcing, Data Paradoxes raises vital questions about how we might better use healthcare data. |
| format | Online |
| id | doab-20.500.12854ir-111585 |
| institution | Directory of Open Access Books |
| language | eng |
| publishDate | 2023 |
| publishDateRange | 2023 |
| publishDateSort | 2023 |
| publisher | The MIT Press |
| publisherStr | The MIT Press |
| record_format | ojs |
| spelling | doab-20.500.12854ir-1115852024-04-14T10:28:02Z Data Paradoxes Hoeyer, Klaus Data datafication data work data sharing data infrastructures information infrastructures Digital health eHealth Artificial intelligence AI algorithms automation Health health care, healthcare hospitals medicine Data politics data mining intensified data sourcing data-based management learning healthcare systems personalized medicine real-world data real-world evidence Denmark Scandinavia European Union, EU Global North Science and technology studies science, technology and society STS anthropology medical anthropology sociology medical sociology data studies critical data studies thema EDItEUR::U Computing and Information Technology::UY Computer science Why healthcare cannot—and should not—become data-driven, despite the many promises of intensified data sourcing.In contemporary healthcare, everybody seems to want more data, of higher quality, on more people, and to use this data for a wider range of purposes. In theory, such pervasive data collection should lead to a healthcare system in which data can quickly, efficiently, and unambiguously be interpreted and provide better care for patients, more efficient administration, enhanced options for research, and accelerated economic growth. In practice, however, data are difficult to interpret and the many purposes often undermine one another. In this book, anthropologist and STS scholar Klaus Hoeyer offers an in-depth look at the paradoxes surrounding healthcare data.Focusing on Denmark, a world leader in healthcare data infrastructures, Hoeyer shares the perspectives of different stakeholders, from epidemiologists to hospital managers, from patients to physicians, analyzing the social dynamics set in motion by data intensification and calling special attention to that which cannot be easily coded in a database. He illustrates how data can be at once helpful, overwhelming, and sometimes disastrous through concrete examples. The COVID-19 pandemic serves as a special closing case study that shows how these data paradoxes carry weighty political implications. By revealing the diverse and sometimes contradictory practices spawned by intensified data sourcing, Data Paradoxes raises vital questions about how we might better use healthcare data. 2023-07-31T10:54:02Z 2023-07-31T10:54:02Z 2023 book ONIX_20230731_9780262374156_19 9780262374156 9780262545419 https://directory.doabooks.org/handle/20.500.12854/111585 eng Infrastructures image/jpeg n/a https://doi.org/10.7551/mitpress/14926.001.0001 The MIT Press The MIT Press 10.7551/mitpress/14926.001.0001 10.7551/mitpress/14926.001.0001 ae0cf962-f685-4933-93d1-916defa5123d 9780262374156 9780262545419 The MIT Press 328 Cambridge open access |
| spellingShingle | Data datafication data work data sharing data infrastructures information infrastructures Digital health eHealth Artificial intelligence AI algorithms automation Health health care, healthcare hospitals medicine Data politics data mining intensified data sourcing data-based management learning healthcare systems personalized medicine real-world data real-world evidence Denmark Scandinavia European Union, EU Global North Science and technology studies science, technology and society STS anthropology medical anthropology sociology medical sociology data studies critical data studies thema EDItEUR::U Computing and Information Technology::UY Computer science Hoeyer, Klaus Data Paradoxes |
| title | Data Paradoxes |
| title_full | Data Paradoxes |
| title_fullStr | Data Paradoxes |
| title_full_unstemmed | Data Paradoxes |
| title_short | Data Paradoxes |
| title_sort | data paradoxes |
| topic | Data datafication data work data sharing data infrastructures information infrastructures Digital health eHealth Artificial intelligence AI algorithms automation Health health care, healthcare hospitals medicine Data politics data mining intensified data sourcing data-based management learning healthcare systems personalized medicine real-world data real-world evidence Denmark Scandinavia European Union, EU Global North Science and technology studies science, technology and society STS anthropology medical anthropology sociology medical sociology data studies critical data studies thema EDItEUR::U Computing and Information Technology::UY Computer science |
| topic_facet | Data datafication data work data sharing data infrastructures information infrastructures Digital health eHealth Artificial intelligence AI algorithms automation Health health care, healthcare hospitals medicine Data politics data mining intensified data sourcing data-based management learning healthcare systems personalized medicine real-world data real-world evidence Denmark Scandinavia European Union, EU Global North Science and technology studies science, technology and society STS anthropology medical anthropology sociology medical sociology data studies critical data studies thema EDItEUR::U Computing and Information Technology::UY Computer science |
| url | ONIX_20230731_9780262374156_19 |
| work_keys_str_mv | AT hoeyerklaus dataparadoxes |