Please use this identifier to cite or link to this item: https://dl.eusset.eu/handle/20.500.12015/3306
Title: Information Infrastructures in healthcare and emergent data work occupations: The case of medical scribes and CDIS
Authors: Bossen, Claus
Chen, Yunan
Pine, Kathleen H.
Issue Date: 2019
Publisher: European Society for Socially Embedded Technologies (EUSSET)
metadata.dc.relation.ispartof: Infrahealth 2019 - Proceedings of the 7th International Workshop on Infrastructure in Healthcare 2019
Series/Report no.: Reports of the European Society for Socially Embedded Technologies: vol. 3, no. 4
Abstract: The development of information infrastructures in healthcare is often described in abstract terms as datafication, the conversion of qualitative aspects of life into quantified data, which makes the people and actual work involved invisible. To make visible the actors and the efforts implied in the term ‘datafication’, in this paper, we describe two emergent data work occupations in healthcare: Medical scribes and clinical documentation improvement specialists (CDIS). These cases provide a starting point for understanding the impacts of digitization of healthcare and the emergence of new kinds of work and new occupations that health organizations adapted to accommodate such impacts. Making data work visible is important in order for these occupations to be acknowledged. If data work remains invisible, healthcare organizations and researchers alike will have an incomplete understanding of how data is actually produced in practice, hindering the organizational design, human resources, and organizational learning that are essential for healthcare organizations to become competent producers and users of data.
metadata.dc.identifier.doi: 10.18420/ihc2019_014
URI: https://hdl.handle.net/20.500.12015/3306
ISSN: 2510-2591
metadata.mci.conference.location: Vienna, Austria
metadata.mci.conference.date: 30-31 May 2019
Appears in Collections:InfraHealth 2019: Proceedings of the 7th International Conference on Infrastructures for Healthcare

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