10.1145/2818052.2855505acmconferencesArticle/Chapter ViewAbstractPublication PagescscwConference Proceedingsconference-collections
abstract

Data-work in Healthcare: The New Work Ecologies of Healthcare Infrastructures

Published:27 February 2016Publication History

ABSTRACT

The workshop focuses on the new work ecologies emerging from implementation and use of information infrastructures in healthcare (IIH). As IIH “grows” through organizational and regulatory mechanisms, CSCW researchers grapple with the shifting nature of healthcare data. CSCW has long been concerned with coordination, cooperation, and communication among interdisciplinary occupations in healthcare. Yet, while medical record keeping is still a primary function of IIH, second order data usages are increasingly large foci of IIH design and use. Facilitating development of health data practice and infrastructure is an area ripe for CSCW research. Critical topics include but are not limited to: re-use of clinical data for second order usages; design of artifacts and infrastructures; politics of creating and using data; algorithmic authority of IIH and effects on the exercise of expertise and discretion of healthcare professions; new forms of healthcare data work, including new occupations; data-driven accountability and management in healthcare”

References

  1. Bansler, J. P., & Kensing, F. (2010). Information infrastructures for health care: Connecting practices across institutional and professional boundaries. Computer Supported Cooperative Work, 19(6), 519-520. Google ScholarGoogle ScholarDigital LibraryDigital Library
  2. Bardram, J. E., & Hansen, T. R. (2010). Why the plan doesn't hold: a study of situated planning, articulation and coordination work in a surgical ward. In Proc. ACM CSCW (pp. 331-340). ACM. Google ScholarGoogle ScholarDigital LibraryDigital Library
  3. Bossen, C., Jensen, LG & Witt, F. (2012). Medical secretaries' care of records: the cooperative work of a non-clinical group. in Proc. ACM CSCW. pp. 821-830. Google ScholarGoogle ScholarDigital LibraryDigital Library
  4. Bossen, C. (2015). Techno-anthropological sensibilities in health informatics: opportunities and challenges. Stud Health Technol Inform, 215, 168- 179.Google ScholarGoogle Scholar
  5. Bowers, J., Button, G., & Sharrock, W. (1995). Workflow from within and without: technology and cooperative work on the print industry shopfloor. In Proc. ECSCW'95 (pp. 51-66). Springer. Google ScholarGoogle ScholarDigital LibraryDigital Library
  6. Bowker, G.C. (2008). Memory Practices in the Sciences. Cambridge: The MIT Press.Google ScholarGoogle Scholar
  7. Cabitza, F., Simone, C., & De Michelis, G. (2015). User-driven prioritization of features for a prospective InterPersonal Health Record: Perceptions from the Italian context. Computers in biology and medicine, 59, 202-210. Google ScholarGoogle ScholarDigital LibraryDigital Library
  8. Christensen, B., & Ellingsen, G. (2014). User-Controlled standardization of health care practices, Proc ECIS, Tel Aviv, 2014.Google ScholarGoogle Scholar
  9. Crabtree, A., & Mortier, R. (2015). Human data interaction: Historical lessons from social studies and CSCW. In Proc. ECSCW 2015 (pp. 3-21).Google ScholarGoogle ScholarCross RefCross Ref
  10. Davenport, T. H., & Patil, D. J. (2012). Data scientist. Harvard business review, 90, 70-76.Google ScholarGoogle Scholar
  11. Dourish, P. (2001). Process descriptions as organizational accounting devices: the dual use of workflow technologies. Proc. GROUP 2001, ACM Press, 52-60. Google ScholarGoogle ScholarDigital LibraryDigital Library
  12. Ellingsen, G., & Røed, K. (2010). The Role of Integration in Health-Based Information Infrastructures. Computer Supported Cooperative Work (CSCW), 19(6), 557-584. Google ScholarGoogle ScholarDigital LibraryDigital Library
  13. Eriksen, S. (2002). Designing for accountability. NordiCHI 02, 177-186. Google ScholarGoogle ScholarDigital LibraryDigital Library
  14. Gitelman, L. (2013). Raw Data Is an Oxymoron. Boston: MIT Press.Google ScholarGoogle Scholar
  15. Liere, R., Adriaansen, T., & Zudilova-Seinstra, E. (Eds.). (2009). Trends in Interactive Visualization. London: Springer London.Google ScholarGoogle Scholar
  16. Monteiro, E., Pollock, N., Hanseth, O., & Williams, R. (2013). From artefacts to infrastructures. CSCW, 22(4-6), 575-607. Google ScholarGoogle ScholarDigital LibraryDigital Library
  17. Pagliari, C., Detmer, D., & Singleton, P. (2007). Potential of electronic personal health records. BMJ: British Medical Journal, 335(7615), 330.Google ScholarGoogle ScholarCross RefCross Ref
  18. Pine, K. H., & Mazmanian, M. (2014). Institutional logics of the EMR and the problem of 'perfect' but inaccurate accounts. CSCW 14, 283-294. Google ScholarGoogle ScholarDigital LibraryDigital Library
  19. Pine, K., & Liboiron, M. 2015. The Politics of Measurement and Action. In CHI '15. ACM. Google ScholarGoogle ScholarDigital LibraryDigital Library
  20. Tufte, E. R. (2006). Beautiful evidence. New York. Google ScholarGoogle ScholarDigital LibraryDigital Library
  21. Winthereik, B.R., van der Ploeg, I., & Berg, M. (2011). The electronic patient record as a meaningful audit tool: accountability and autonomy in general practitioner work. Science, Technology, & Human Values, 32(1), 6-25.Google ScholarGoogle ScholarCross RefCross Ref

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