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Data work in healthcare: An Introduction

Permanent link
https://hdl.handle.net/10037/17788
DOI
https://doi.org/10.1177/1460458219864730
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Date
2019-08-12
Type
Journal article
Tidsskriftartikkel
Peer reviewed

Author
Bossen, Claus; Pine, Katie; Cabitza, Federico; Ellingsen, Gunnar; Piras, Enrico Maria
Abstract
Why data work in healthcare?

Healthcare organizations across the globe are currently grappling to implement tools and practices to transform data from “refuse to riches,” a movement propelled by mass adoption of electronic health records (EHRs), sensors, and servers that can hold an ever-expanding volume of digital data. Allegedly, “By digitizing, combining and effectively using big data, healthcare organizations ranging from single-physician offices and multi-provider groups to large hospital networks and accountable care organizations stand to realize significant benefits.” The potential is “. . . to improve care, save lives and lower costs.” As a consequence, organizations are struggling under massive institutional pressures to make healthcare “data-driven” against the messy reality of creating, managing, analyzing, and using data for management, decision-making, accountability, and medical research.

Publisher
SAGE Publications
Citation
Bossen C, Pine K, Cabitza F, Ellingsen G, Piras EM. Data work in healthcare: An Introduction. Health Informatics Journal. 2019;25(3):465-474
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  • Artikler, rapporter og annet (klinisk medisin) [1974]
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