Securing the Elderly Body: Dementia, Surveillance, and the Politics of "Aging in Place"

Kenner, Alison

doi:10.24908/ss.v5i3.3423

Cited by 57 publications

(74 citation statements)

References 12 publications

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“…Rather than consent being a one-off event, occasional renewals of consent may be necessary to ensure monitoring has not merely been forgotten. This is particularly important for cognitively impaired users unable to grant consent (Kenner 2008;Bowes et al 2012). These concerns can extend to guests of a monitored individual, which suggests the possibility of inadvertent monitoring (Neild et al 2004).…”

Section: Obtrusiveness Stigma and Autonomymentioning

confidence: 99%

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Ethics of the health-related internet of things: a narrative review

Mittelstadt

2017

Ethics Inf Technol

108

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Section: Obtrusiveness Stigma and Autonomymentioning

confidence: 99%

“…Dependent users may also experience changes to their relationships with carers (Palm et al 2012). In this context, Kenner (2008) suggests, for example, that carers should assess when interventions based on H-IoT data could potentially infringe upon the user's rights to privacy and autonomy.…”

Section: Data Sharing and Autonomymentioning

confidence: 99%

Ethics of the health-related internet of things: a narrative review

Mittelstadt

2017

Ethics Inf Technol

108

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“…The architecture of the IIE is illustrated in Figure 1, where the data collected from the sensor network are wirelessly communicated with a base station and eventually stored in a central database. The IIE relies solely on non-intrusive sensors as research has proven that the use of intrusive technology such as surveillance cameras for patient monitoring is generally not accepted [8]. Hence a combination of door/window entry point sensors, passive infrared motion sensors, and bed/sofa pressure sensors are utilised.…”

Section: Motivationmentioning

confidence: 99%

Utilising Semantic Technologies for Decision Support in Dementia Care

Osman¹,

Rmaswamy²,

Mahmoud³

et al. 2013

2013 UKSim 15th International Conference on Computer Modelling and Simulation

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Abstract-The main objective of this work is to discuss our experience in utilising semantic technologies for building decision support in Dementia care systems that are based on the non-intrusive on the non-intrusive monitoring of the patient's behaviour. Our approach adopts context-aware modelling of the patient's condition to facilitate the analysis of the patient's behaviour within the inhabited environment (movement and room occupancy patterns, use of equipment, etc.) with reference to the semantic knowledge about the patient's condition (history of present of illness, dependable behaviour patterns, etc.). The reported work especially focuses on the critical role of the semantic reasoning engine in inferring medical advice, and by means of practical experimentation and critical analysis suggests important findings related to the methodology of deploying the appropriate semantic rules systems, and the dynamics of the efficient utilisation of complex event processing technology in order to the meet the requirements of decision support for remote healthcare systems.

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“…However, a balance must be struck; the inclusion of such a feature on devices designed for cognitively impaired users will pose a significant risk to patient safety. H-IoT should also remain visible to some degree to prevent covert monitoring that would raise questions about the validity of consent over time [5,111], particularly among cognitively impaired users in institutional care environments. H-IoT embedded in a home or institutional care environment can be forgotten following extended use [112,113].…”

Section: Design Devices To Be Unobtrusive According To the Needs Of Smentioning

confidence: 99%

Designing the Health-related Internet of Things: Ethical Principles and Guidelines

Mittelstadt

2017

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Abstract:The conjunction of wireless computing, ubiquitous Internet access, and the miniaturisation of sensors have opened the door for technological applications that can monitor health and well-being outside of formal healthcare systems. The health-related Internet of Things (H-IoT) increasingly plays a key role in health management by providing real-time tele-monitoring of patients, testing of treatments, actuation of medical devices, and fitness and well-being monitoring. Given its numerous applications and proposed benefits, adoption by medical and social care institutions and consumers may be rapid. However, a host of ethical concerns are also raised that must be addressed. The inherent sensitivity of health-related data being generated and latent risks of Internet-enabled devices pose serious challenges. Users, already in a vulnerable position as patients, face a seemingly impossible task to retain control over their data due to the scale, scope and complexity of systems that create, aggregate, and analyse personal health data. In response, the H-IoT must be designed to be technologically robust and scientifically reliable, while also remaining ethically responsible, trustworthy, and respectful of user rights and interests. To assist developers of the H-IoT, this paper describes nine principles and nine guidelines for ethical design of H-IoT devices and data protocols.

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Securing the Elderly Body: Dementia, Surveillance, and the Politics of "Aging in Place"

Cited by 57 publications

References 12 publications

Ethics of the health-related internet of things: a narrative review

Ethics of the health-related internet of things: a narrative review

Utilising Semantic Technologies for Decision Support in Dementia Care

Designing the Health-related Internet of Things: Ethical Principles and Guidelines

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