Evidence map›Paper›PMID 42568090›Full record

ArticleBMC medical ethics2026

Between data and touch: how nurses and patients negotiate the human boundary under data-driven surveillance in chronic care.

Qianli Zhu, Weizhen Hu, Laite Chen

Abstract read
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Article in BMC medical ethics, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

3 authors.

Qianli ZhuWenzhou Medical University, Wenzhou, 325000, China.
Weizhen HuWenzhou Medical University, Wenzhou, 325000, China.
Laite ChenNational Clinical Research Center for Ocular Diseases, Eye Hospital, Wenzhou Medical University, Wenzhou, 325000, China. 1239663987@qq.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe integration of data-driven continuous monitoring into chronic disease management is often presented as a solution for clinical efficiency. However, this technological shift may substantially reshape care relations, power, and intimacy. Prevailing research, focused on technical validation, fails to capture how such systems operate as social forces. A critical, theory-informed examination of these lived transformations is needed. This study goes beyond documenting ethical dilemmas by critically investigating how data-driven surveillance restructures nurse-patient dynamics. We aim to uncover the mechanisms through which data-driven surveillance disciplines both caregivers and recipients, and to identify where and how the irreducible elements of humanistic care persist and resist.

methodsA critical qualitative design was employed, guided by Foucault's concept of governmentality as a sensitising lens. Semi-structured interviews were conducted with 12 registered nurses and 15 patients with hypertension or type 2 diabetes in one Chinese tertiary hospital that had, for six months, implemented real-time automated physiological monitoring. Data were analysed using reflexive thematic analysis with a hybrid (deductive-inductive) approach.

resultsOur analysis reveals three core mechanisms: (1) systematic arbitration (nurses as constant negotiators between automated alerts and situated clinical judgment); (2) datafied self-surveillance, patients internalise the data-driven gaze, policing their own behaviour; (3) a shared convergence around the human boundary, both nurses and patients actively defend empathy, contextual interpretation, and emotional recognition as domains irreducible to data. This boundary is not a passive remnant but an active, shared accomplishment.

conclusionDigital surveillance in chronic care does not act as a neutral adjunct. Instead, it operates as a disciplinary technology that asymmetrically disciplines nurses and patients. However, the identified human boundary represents a critical site of resistance and re-humanisation. The future of humane digital health depends on deliberately designing socio-technical systems that strengthen, rather than erode, the relational and interpretive core of clinical practice.

Indexed as

Nurse-Patient RelationsNursesAdultChinaChronic DiseaseDiabetes Mellitus, Type 2Digital HealthEthical DilemmasFemaleHumansHypertensionMaleMiddle AgedMonitoring, PhysiologicQualitative ResearchChronic careDigital surveillanceGovernmentalityNurse-patient relationshipQualitative research

Identifiers

PMID42568090
PMCPMC13450557

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