Abstract:The National Institute for Health Research (NIHR) aims to improve national ‘health and wealth' by providing infrastructural support to enable clinical research in National Health Service settings in England and Wales. Cognisant of the consequences of studies' failure to achieve required numbers of participants, it also actively campaigns to promote patient awareness of research, and willingness to participate in trials. In this paper, we analyse recent NIHR campaigns and policies designed to encourage patients… Show more
“…Expectations of EHR data-driven research for speculative valuations of health and wealth have, therefore, their own important role in how GPs, NHS patients and the data they co-produce are reimagined and valued for EHR data-driven research within a high-stakes biomedical knowledge economy (Birch et al, 2020; Dussauge et al, 2015; Wienroth et al, 2019). They are fundamental in mobilizing various state, commercial and academic actors as well as capital for the assetization of NHS patient data and the enactment of a new health data access market (Birch et al, 2020; Brown, 2003; Vezyridis and Timmons, 2017).…”
Section: Theorizing Research Expectations Service Valuations and Data Assetizationsmentioning
confidence: 99%
“…aggregate databases, risk calculators) and intangible (e.g. epidemiological and computational expertise) knowledge assets for financialized EHR data-driven research and development (Birch et al, 2020; Dagiral and Peerbaye, 2016; Muniesa et al, 2017; Wienroth et al, 2019).…”
Section: Theorizing Research Expectations Service Valuations and Data Assetizationsmentioning
confidence: 99%
“…Dagiral and Peerbaye, 2016;Birch, 2017a;Muniesa et al, 2017;Birch, 2019). Their uninterrupted participation into the valuation practices of these research services facilitate their ceaseless assetisation (Wienroth et al, 2019) for the continuous capitalisation of NHS patient data and the financialisation of EHR data-driven research (cf. Muniesa et al, 2017;Birch, 2017a).…”
In this article, we examine some of the expectations, frictions and uncertainties involved with the assetization of de-identified NHS patient data by (primary care) research services in UK. Pledges to Electronic Health Record (EHR) data-driven research attempt to reconfigure public health data as an asset for realizing multiple values across healthcare, research and finance. We introduce the concept of ‘asymmetrical divergence’ in public health data assetization 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 assetization and exploitations grow bigger and more diverse, the capitalization 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.
“…Expectations of EHR data-driven research for speculative valuations of health and wealth have, therefore, their own important role in how GPs, NHS patients and the data they co-produce are reimagined and valued for EHR data-driven research within a high-stakes biomedical knowledge economy (Birch et al, 2020; Dussauge et al, 2015; Wienroth et al, 2019). They are fundamental in mobilizing various state, commercial and academic actors as well as capital for the assetization of NHS patient data and the enactment of a new health data access market (Birch et al, 2020; Brown, 2003; Vezyridis and Timmons, 2017).…”
Section: Theorizing Research Expectations Service Valuations and Data Assetizationsmentioning
confidence: 99%
“…aggregate databases, risk calculators) and intangible (e.g. epidemiological and computational expertise) knowledge assets for financialized EHR data-driven research and development (Birch et al, 2020; Dagiral and Peerbaye, 2016; Muniesa et al, 2017; Wienroth et al, 2019).…”
Section: Theorizing Research Expectations Service Valuations and Data Assetizationsmentioning
confidence: 99%
“…Dagiral and Peerbaye, 2016;Birch, 2017a;Muniesa et al, 2017;Birch, 2019). Their uninterrupted participation into the valuation practices of these research services facilitate their ceaseless assetisation (Wienroth et al, 2019) for the continuous capitalisation of NHS patient data and the financialisation of EHR data-driven research (cf. Muniesa et al, 2017;Birch, 2017a).…”
In this article, we examine some of the expectations, frictions and uncertainties involved with the assetization of de-identified NHS patient data by (primary care) research services in UK. Pledges to Electronic Health Record (EHR) data-driven research attempt to reconfigure public health data as an asset for realizing multiple values across healthcare, research and finance. We introduce the concept of ‘asymmetrical divergence’ in public health data assetization 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 assetization and exploitations grow bigger and more diverse, the capitalization 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.
“…Wienroth et al . (2019) argues that National Institute for Health Research recruitment campaigns frame patients themselves as assets within the political economy of the NHS. In other contexts, such as the biobank, this value is argued to be something that is produced and maintained (as opposed to something innate) through the ongoing, often invisible labour of both biobank participants and biobank staff (Harris et al, 2013, Wyatt et al, 2018a).…”
The UK National Health Service (NHS) is changing. Consecutive UK industrial strategies have supported the shift from an NHS that provides free‐at‐point‐of‐delivery healthcare to one that also facilitates research. Said to promote healthcare’s triple aim of ‘better health, better healthcare, and lower cost’ (Wachter, 2016, 3), the digitisation of patient records is a core part in opening routine aspects of the health system to potential research. In this paper, we thematically analyse 11 policy documents and ask, how does the NHS discuss its decision to digitise patient records and what are the implications of such practices on the citizen? We document how (1) digitisation is presented as a collective endeavour for patients and NHS professionals, offering new possibilities for patients to participate in their own health and that of the population through research and, (2) digitisation contributes to the building of an efficient health system. Through this analysis we reflect on how discussions of digitisation present uncritically the potential of Electronic Health Records and big data analytics to improve care and generate wealth through research, and reconfigure patienthood, by placing research participation as a routine part of accessing NHS healthcare.
“…However, as the case of MCI illustrates, this boundary is increasingly fuzzy in contemporary biomedical practice. This is particularly the case in contexts such as Alzheimer's disease in which the range of therapies "in the clinic" is limited and in which clinical trials are seen as part of the therapeutic landscape, or genomic medicine, in which clinical investigations may be closely linked to research participation (Davis 2017;Dheensa et al 2018;Wienroth, Pearce, and McKevitt, 2019). For Boenink (2018), the diagnostic criteria, and accompanying moves to establish "appropriate use criteria" for biomarker technologies in the clinic, play a dual role.…”
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