abstract

Data Work in Healthcare: Challenges for Patients, Clinicians and Administrators

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Naja Holten MøllerAuthors Info & Claims

CSCW '18 Companion: Companion of the 2018 ACM Conference on Computer Supported Cooperative Work and Social Computing

Pages 433 - 439

https://doi.org/10.1145/3272973.3273017

Published: 30 October 2018 Publication History

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Abstract

With the wide adoption of information infrastructures in healthcare (IIH), citizens and healthcare professionals now carry out intensive "data work' as part of their healthcare and self-management practices. For example, citizens use mobile apps to track personal health data for both formal and informal usages, clinicians rely on electronic health records (EHR) to document patient information, and hospital administrators use EHRs to generate data to monitor quality and efficiency of healthcare services. The creation, accumulation, management, and communication of data is increasingly central to patient work, clinical work, and management and governance of healthcare providers. To better understand data work in healthcare, this workshop aims to convene researchers from different disciplines to discuss data work performed among the entire ecosystem of clinical care delivery from patients to clinicians to administrators. Critical topics include but are not limited to: patient data work (both voluntary and compelled by clinicians as part of treatment); algorithmic authority of information infrastructure and effects on the exercise of expertise and discretion of healthcare professions; clinician demands for documentation (and balancing these demands with patient-centered care); new forms of healthcare data work, including new occupations and tasks; and data-driven accountability and management in healthcare.

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Kim BYuravlivker LBuckley MBouvier NLengfellner J(2024)CTDataHub: An Empowering Solution for Health Data Workers in Oncology Clinical TrialsCompanion Publication of the 2024 ACM Designing Interactive Systems Conference10.1145/3656156.3663701(199-203)Online publication date: 1-Jul-2024
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Avlona NShklovski I(2024)Torquing patients into data: enactments of care about, for and through medical data in algorithmic systemsInformation, Communication & Society10.1080/1369118X.2024.232092227:4(735-757)Online publication date: 7-Mar-2024
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Index Terms

Data Work in Healthcare: Challenges for Patients, Clinicians and Administrators
1. Human-centered computing
  1. Human computer interaction (HCI)
    1. Empirical studies in HCI
    2. HCI design and evaluation methods
      1. Field studies

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Published In

CSCW '18 Companion: Companion of the 2018 ACM Conference on Computer Supported Cooperative Work and Social Computing

October 2018

518 pages

ISBN:9781450360180

DOI:10.1145/3272973

General Chairs:
Vanessa Evers
University of Twente
,
Mor Naaman
Cornell Tech
,
Program Chairs:
Geraldine Fitzpatrick
Vienna University of Technology
,
Karrie Karahalios
University of Illinois
,
Airi Lampinen
Stockholm University
,
Andrés Monroy-Hernández
Snap, Inc.

Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 30 October 2018

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CSCW '18

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SIGCHI

CSCW '18: Computer Supported Cooperative Work and Social Computing

November 3 - 7, 2018

NJ, Jersey City, USA

Acceptance Rates

CSCW '18 Companion Paper Acceptance Rate 105 of 385 submissions, 27%;

Overall Acceptance Rate 2,235 of 8,521 submissions, 26%

Upcoming Conference

CSCW '25

Sponsor:
sigchi

Computer-Supported Cooperative Work and Social Computing

October 18 - 22, 2025

Bergen , Norway

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Cited By

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https://dl.acm.org/doi/10.1145/3670947.3670978
Kim BYuravlivker LBuckley MBouvier NLengfellner J(2024)CTDataHub: An Empowering Solution for Health Data Workers in Oncology Clinical TrialsCompanion Publication of the 2024 ACM Designing Interactive Systems Conference10.1145/3656156.3663701(199-203)Online publication date: 1-Jul-2024
https://dl.acm.org/doi/10.1145/3656156.3663701
Avlona NShklovski I(2024)Torquing patients into data: enactments of care about, for and through medical data in algorithmic systemsInformation, Communication & Society10.1080/1369118X.2024.232092227:4(735-757)Online publication date: 7-Mar-2024
https://doi.org/10.1080/1369118X.2024.2320922
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Kaunda AManda TKaasbøll JAsah F(2023)Institutional Pressures Shaping Data Use in Health Management at the District Level in MalawiAfter Latour: Globalisation, Inequity and Climate Change10.1007/978-3-031-50154-8_23(316-337)Online publication date: 6-Dec-2023
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