Quality of Context Evaluating Approach in AAL Environment Using IoT Technology

Nazário, Débora Cabral; Campos, Pedro; Inacio, Eduardo C.; Dantas, Mário A. R.

doi:10.1109/cbms.2017.55

Cited by 14 publications

(3 citation statements)

References 9 publications

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“…Examples are high fidelity simulations and nurse self-training systems.AAL AAL technologies are integrated multifunctional, often modular systems that support a person in his/her living environment. AAL generally comprises a set of different technologies, often sensors and communication technologies, that intend to support the well-being, security and independent living of an elderly person [31].…”

mentioning

confidence: 99%

Digital technology and nursing care: a scoping review on acceptance, effectiveness and efficiency studies of informal and formal care technologies

Krick

Hüter

Domhoff

et al. 2019

BMC Health Serv Res

181

127

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Background: The existence, usage and benefits of digital technologies in nursing care are relevant topics in the light of the current discussion on technologies as possible solutions to problems such as the shortage of skilled workers and the increasing demand for long-term care. A lack of good empirical overviews of existing technologies in the present literature prompted us to conduct this review. Its purpose was to map the field of digital technologies for informal and formal care that have already been explored in terms of acceptance, effectiveness and efficiency (AEE), and to show the scope of the used methods, target settings, target groups and fields of support. Methods: A systematic literature search was conducted using Medline, Scopus, CINAHL, Cochrane Library, ACM Digital Library, IEEE Xplore, the Collection of Computer Science Bibliographies, GeroLit and CareLit. In addition, project websites were manually screened for relevant publications. Results: Seven hundred fifteen papers were included in the review. Effectiveness studies have been most frequently performed for ICT, robots and sensors. Acceptance studies often focussed on ICT, robots and EHR/EMR. Efficiency studies were generally rare. Many studies were found to have a low level of evidence. Experimental designs with small numbers and without control groups were the most common methods used to evaluate acceptance and effectiveness. Study designs with high evidence levels were most commonly found for ICT, robots and e-learning. Technologies evaluated for informal caregivers and children or indicated for formal care at home or in cross-sectoral care were rare. Conclusion: We recommend producing high-quality evaluations on existing digital technologies for AEE in real-life settings rather than systematic reviews with low-quality studies. More focus should be placed on research into efficiency. Future research should be devoted to a closer examination of the applied AEE evaluation methods. Policymakers should provide funding to enable large-scale, long-term evaluations of technologies in the practice of care, filling the research gaps for technologies, target settings and target groups identified in this review.

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mentioning

confidence: 99%

Digital technology and nursing care: a scoping review on acceptance, effectiveness and efficiency studies of informal and formal care technologies

Krick

Hüter

Domhoff

et al. 2019

BMC Health Serv Res

181

127

View full text Add to dashboard Cite

show abstract

“…One of the main reasons for these different groups of fog classification is based scientific observation from previous research works, such as those presented in Nazario et al (2017). When an appropriated environment is designed with the peer actors, the effort to evaluate quality of context is minimized.…”

Section: Related Work and Proposed Architecturementioning

confidence: 99%

Covid-19: Where is the Digital Transformation, Big Data, Artificial Intelligence and Data Analytics?

Mendonça

Dantas

2020

RSP

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Digital transformation, big data, artificial intelligence and data analytics are probably the most cited computational subjects in the news around the world. Commercial and technical reports (and papers), usually, indicate high level of success in the adoption of these approaches. In contrast, the present war that the world is facing against the Covid-19, it is not common to see many references about these technologies. In this paper, we present a research work which observes approaches on how to effectively adopt these technologies for a public primary healthcare monitoring, based on Internet of Things devices. Partial results from the proposal indicates a differentiated approach to tackle large challenges, similar to these created by the actual Covid-19 pandemic scenario. In addition, our experiments shown that the adoption of these computational topics require a faster digital behavior changes, to the procedures from governments and people, to be successful as environments for individual health enhancement and protection.

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“…Acompanhado do monitoramento com wearables, o AAL se aproxima das pessoas com perspectivas de usabilidade e acessibilidade. Assim, grandes quantidades de dados podem ser coletadas para serem interpretadas [Nazário et al 2017].…”

Section: Aspectos Teóricos 21 Iot E Ambientes Domiciliares Assistidosunclassified

Dispositivos IoT em uma Conﬁguração Cooperativa Fog-Cloud para suporte a Predições em um Ambiente Healthcare

Thomé

Ströele

Dantas

2020

Anais Estendidos Do XXI Simpósio Em Sistemas Computacionais De Alto Desempenho (SSCAD Estendido 2020)

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A população mundial enfrenta um novo desaﬁo com a pandemia provocada pelo Sars-CoV-2 e, por ser inesperada, diversas pesquisas estão em andamento sobre meios de reduzir o contágio. O presente estudo apresenta um esforço de simulação baseada em mudança de hábitos e no uso de dispositivos IoT vestíveis na monitoração para prevenção e identiﬁcação de casos de contágio em um ambiente onde o distanciamento social é difícil. Desta forma, quatro cenários com divergentes precauções são apresentados e os dados obtidos são apresentados neste artigo, onde o ambiente com mais medidas preventivas e no qual os agentes infectados foram isolados obteve a menor taxa de contaminação.

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Quality of Context Evaluating Approach in AAL Environment Using IoT Technology

Cited by 14 publications

References 9 publications

Digital technology and nursing care: a scoping review on acceptance, effectiveness and efficiency studies of informal and formal care technologies

Digital technology and nursing care: a scoping review on acceptance, effectiveness and efficiency studies of informal and formal care technologies

Covid-19: Where is the Digital Transformation, Big Data, Artificial Intelligence and Data Analytics?

Dispositivos IoT em uma Conﬁguração Cooperativa Fog-Cloud para suporte a Predições em um Ambiente Healthcare

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