2021 •
E-Infrastructures and the divergent assetization of public health data: Expectations, uncertainties, and asymmetries.
Authors:
Paraskevas Vezyridis, Stephen Timmons
Abstract:
Normative, scientific and economic pledges to Electronic Health Record (EHR) data-driven research (for health and wealth) attempt to reconfigure public health data as an asset for realising multiple values across healthcare, research and finance. In this paper, we examine some of the expectations, frictions and uncertainties involved with the assetisation of de-identified NHS patient data by (primary care) research services in UK. We introduce the concept of 'asymmetric assetisation divergence' to study the various practices of configuring and (...)
Normative, scientific and economic pledges to Electronic Health Record (EHR) data-driven research (for health and wealth) attempt to reconfigure public health data as an asset for realising multiple values across healthcare, research and finance. In this paper, we examine some of the expectations, frictions and uncertainties involved with the assetisation of de-identified NHS patient data by (primary care) research services in UK. We introduce the concept of 'asymmetric assetisation divergence' to study the various practices of configuring and using this data, both as a continuously generated resource to be extracted and as an asset to be circulated in the knowledge economy. As data assetisation and exploitations grow bigger and more diverse, the capitalisation of these datasets may constitute EHR data-driven research in healthcare as an attractive technoscientific activity, but one limited to those actors with specific sociotechnical resources in place to fully exploit them at the required scale. (Read More)
Knowledge management |
Data science |
Public relations |
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