Digital phenotyping – Editorial

Engelmann, Lukas; Wackers, Ger

doi:10.1177/20539517221113775

Cited by 3 publications

(1 citation statement)

References 16 publications

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“…The main point of difference with existing biological markers is that while the latter focus on pathological or physiological processes of decline, digital tools aim to quantify clinical signs and symptoms associated with the disease (cf. Engelmann & Wackers, 2022; Milne et al., 2022).…”

Section: The Multivalence Of Digital Biomarkersmentioning

confidence: 99%

Detecting value(s): Digital biomarkers for Alzheimer’s disease and the valuation of new diagnostic technologies

Costa,

Milne

2023

Sociology Health & Illness

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This article explores how the meanings and values of diagnosis are being reconfigured at the interface between technological innovation and imaginaries of precision medicine. From genome sequencing to biological and digital ‘markers’ of disease, technological innovation occupies an increasingly central space in the way we imagine future health and illness. These imaginaries are usually centred on the promise of faster, more precise and personalised diagnosis, and the associated hope that if detected early enough disease can be effectively treated and prevented. Underpinning and reproduced through these narratives of the future is a re‐conceptualisation of diagnostic processes and categories around the anticipation of future risk, as noted by recent theoretical developments in the sociology of diagnosis and related disciplines. Adding to this literature, in this article we explore what makes these emerging diagnostic arrangements valuable, to whom and how. Drawing on interviews with experts involved in the development of digital biomarkers for Alzheimer’s disease, we trace how multiple and at times conflicting applications of the tools, and the value(s) attached to them, are coproduced. We thus ask what possibilities are pursued, or foreclosed, through the work of imagining the future of diagnosis.

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Section: The Multivalence Of Digital Biomarkersmentioning

confidence: 99%

Detecting value(s): Digital biomarkers for Alzheimer’s disease and the valuation of new diagnostic technologies

Costa,

Milne

2023

Sociology Health & Illness

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Ameliorating Epistemic Injustice with Digital Health Technologies

Lalumera

2024

Epistemic Justice in Mental Healthcare

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This chapter discusses the potential of digital phenotyping to ameliorate epistemic injustice in mental health. Digital phenotyping, which analyses behavioural patterns from user data or smart devices, shows promise in improving mental health care. Whilst concerns exist that it may exacerbate epistemic injustice by overshadowing individual experiences, the chapter presents a different viewpoint. Through a fictional case study, digital phenotyping is portrayed as aiding individuals seeking help by offering more accurate evidence and supporting shared decision-making. The objection that digital technology overrides personal claims is countered by arguing against absolute epistemic priority for any diagnostic tool in medicine. The chapter acknowledges the need for technological advancements and ethical considerations but maintains a positive outlook on the future of digital phenotyping in mental healthcare.

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In the absence of meaning: care practices and environmental factors behind the multiple selves of the digital psychiatry participant

Berners-Lee

2024

Soc Theory Health

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Digital phenotyping – Editorial

Cited by 3 publications

References 16 publications

Detecting value(s): Digital biomarkers for Alzheimer’s disease and the valuation of new diagnostic technologies

Detecting value(s): Digital biomarkers for Alzheimer’s disease and the valuation of new diagnostic technologies

Ameliorating Epistemic Injustice with Digital Health Technologies

In the absence of meaning: care practices and environmental factors behind the multiple selves of the digital psychiatry participant

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