[AISWorld] 1st Call: Information Systems and Data Work in Healthcare. SI in Scandinavian Journal of Information Systems

[Claus Bossen]

1st Call: Special Issue on "Information Systems and Data Work in Healthcare", SJIS
Deadline May 14, 2024
(SI-link: https://communities.aisnet.org/scandinavia/sjis/cfp-special-issue)

Data is created, produced and available in many domains and advocates extol the virtues of data-driven tools and techniques for their value as drivers of innovation, efficiency and quality. Data is at the core of business for some organizations such as social media or platform organizations. However, even though data often is produced as a matter of course by information systems (i.e. as "data exhaust"), a rich body of research has shown that producing, managing, and using data requires (often intensive) human effort and intervention. This has led to a general interest in data work and data workers in the field of Information Systems as well as in related fields such as Human-Computer Interaction, Computer Supported Cooperative Work and Critical Data Studies (e.g., Bates et al 2016; Miceli & Posada 2022; Muller et al 2019; Parmigiani et al 2020; Parmigiani et al 2022; Rothshild et al 2022; Tubaru et al 2020).

In this special issue, we focus on data work in healthcare. Widespread digitization via new information systems such as Electronic Health Records (EHRs) for hospitals, home care and general practitioners, as well as systems to support Patient Generated Healthcare Data including wearables and Patient Reported Outcome applications, medication registries, etc., has led to a deluge of data in healthcare. Coupled with demands for data-driven accountability and personalized medicine, healthcare is broadly engaging in data-centric endeavor that has been termed "data intensive resourcing" (Hogle, 2016; Hoeyer, 2016).

Analyses of the work to produce, process, manage, present, and make use of etc. data, are required because discourses of digitization, Artificial Intelligence, Machine Learning and becoming 'data-driven' are strong and often assume that data will emerge and be produced and processed automatically and with little or no friction. However, to the extent that data work remains invisible and not acknowledged important transformation of healthcare work, professions and organizations might not be noticed and become subject of policy and debate. We will neither know which new competences and jobs are required, nor how data changes healthcare or societies at large.

Submissions due: May 15th, 2024

See more on the Special Issue: https://communities.aisnet.org/scandinavia/sjis/cfp-special-issue
Scandinavian Journal of Information Systems: https://aisel.aisnet.org/sjis/