Data work in healthcare: Challenges for patients, clinicians and administrators

Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

Standard

Data work in healthcare : Challenges for patients, clinicians and administrators. / Pine, Kathleen H.; Chen, Yunan; Grisot, Miria; Møller, Naja Holten; Bossen, Claus; Ellingsen, Gunnar; Mazmanian, Melissa.

CSCW 2018 Companion - Companion of the 2018 ACM Conference on Computer Supported Cooperative Work and Social Computing. Association for Computing Machinery, 2018. p. 433-439.

Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

Harvard

Pine, KH, Chen, Y, Grisot, M, Møller, NH, Bossen, C, Ellingsen, G & Mazmanian, M 2018, Data work in healthcare: Challenges for patients, clinicians and administrators. in CSCW 2018 Companion - Companion of the 2018 ACM Conference on Computer Supported Cooperative Work and Social Computing. Association for Computing Machinery, pp. 433-439, 21st ACM Conference on Computer-Supported Cooperative Work and Social Computing, CSCW 2018, Jersey City, United States, 03/11/2018. https://doi.org/10.1145/3272973.3273017

APA

Pine, K. H., Chen, Y., Grisot, M., Møller, N. H., Bossen, C., Ellingsen, G., & Mazmanian, M. (2018). Data work in healthcare: Challenges for patients, clinicians and administrators. In CSCW 2018 Companion - Companion of the 2018 ACM Conference on Computer Supported Cooperative Work and Social Computing (pp. 433-439). Association for Computing Machinery. https://doi.org/10.1145/3272973.3273017

Vancouver

Pine KH, Chen Y, Grisot M, Møller NH, Bossen C, Ellingsen G et al. Data work in healthcare: Challenges for patients, clinicians and administrators. In CSCW 2018 Companion - Companion of the 2018 ACM Conference on Computer Supported Cooperative Work and Social Computing. Association for Computing Machinery. 2018. p. 433-439 https://doi.org/10.1145/3272973.3273017

Author

Pine, Kathleen H. ; Chen, Yunan ; Grisot, Miria ; Møller, Naja Holten ; Bossen, Claus ; Ellingsen, Gunnar ; Mazmanian, Melissa. / Data work in healthcare : Challenges for patients, clinicians and administrators. CSCW 2018 Companion - Companion of the 2018 ACM Conference on Computer Supported Cooperative Work and Social Computing. Association for Computing Machinery, 2018. pp. 433-439

Bibtex

@inproceedings{f81401beebe64d2ab531b09256307dfb,
title = "Data work in healthcare: Challenges for patients, clinicians and administrators",
abstract = "With the wide adoption of information infrastructures in healthcare (IIH), citizens and healthcare professionals now carry out intensive {\textquoteleft}data work{\textquoteright} 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.",
keywords = "Accountability, Coordination, Data work, Data-driven management, Electronic health records, Healthcare, Information infrastructures, Information infrastructures for healthcare, Patients, PROM",
author = "Pine, {Kathleen H.} and Yunan Chen and Miria Grisot and M{\o}ller, {Naja Holten} and Claus Bossen and Gunnar Ellingsen and Melissa Mazmanian",
year = "2018",
doi = "10.1145/3272973.3273017",
language = "English",
pages = "433--439",
booktitle = "CSCW 2018 Companion - Companion of the 2018 ACM Conference on Computer Supported Cooperative Work and Social Computing",
publisher = "Association for Computing Machinery",
note = "21st ACM Conference on Computer-Supported Cooperative Work and Social Computing, CSCW 2018 ; Conference date: 03-11-2018 Through 07-11-2018",

}

RIS

TY - GEN

T1 - Data work in healthcare

T2 - 21st ACM Conference on Computer-Supported Cooperative Work and Social Computing, CSCW 2018

AU - Pine, Kathleen H.

AU - Chen, Yunan

AU - Grisot, Miria

AU - Møller, Naja Holten

AU - Bossen, Claus

AU - Ellingsen, Gunnar

AU - Mazmanian, Melissa

PY - 2018

Y1 - 2018

N2 - 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.

AB - 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.

KW - Accountability

KW - Coordination

KW - Data work

KW - Data-driven management

KW - Electronic health records

KW - Healthcare

KW - Information infrastructures

KW - Information infrastructures for healthcare

KW - Patients

KW - PROM

UR - http://www.scopus.com/inward/record.url?scp=85058079001&partnerID=8YFLogxK

U2 - 10.1145/3272973.3273017

DO - 10.1145/3272973.3273017

M3 - Article in proceedings

AN - SCOPUS:85058079001

SP - 433

EP - 439

BT - CSCW 2018 Companion - Companion of the 2018 ACM Conference on Computer Supported Cooperative Work and Social Computing

PB - Association for Computing Machinery

Y2 - 3 November 2018 through 7 November 2018

ER -

ID: 239911194