General Conceptual Framework of Future Wearables in Healthcare: Unified, Unique, Ubiquitous, and Unobtrusive (U4) for Customized Quantified Output

Haghi, Mostafa; Deserno, Thomas M.

doi:10.3390/chemosensors8030085

Cited by 8 publications

(7 citation statements)

References 51 publications

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“…This supports the statement that our healthcare systems currently transits from treatment after diagnosis towards prediction, prevention, and proactive personalized healthcare [ 107 ]. Enhancing the penetration rate of wearables in real studies requires user and physician satisfactions [ 22 ]. Thus, as a matter of fact, improving continuous monitoring is impacted by reducing the power consumption, which is consequently function of mode of data transmission.…”

Section: Discussionmentioning

confidence: 99%

“…Hence, the fourth group of wearables (G4) further demands a customized and quantified output with respect to disease and user’s health status. This personalization enables a meaningful contribution to the decision-making of physicians [ 22 ]. Following this approach, we propose simultaneous monitoring of all four influencing domains, followed by a two-layer filter and computations of parameters’ interactions ( Figure 10 ).…”

Section: Discussionmentioning

confidence: 99%

“…In previous work, we have introduced complete, continuous, cost-effective, and convenient (C4) monitoring as evaluation criteria for the performance of wearable devices [ 22 ]. Here, we apply these principles to specify each wearable and provide technical details, if available.…”

Section: Materials and Methodsmentioning

confidence: 99%

“…Applying proactive healthcare is economic, saves time, identifies chronic diseases at earlier stages, and increases the quality of service to patients [ 21 ]. Wearable devices are capable of monitoring environmental, behavioral, physiological, and psychological parameters [ 22 ]. The wearables can measure and interchange heterogeneous data from different domains, based on wireless body area network (WBAN) [ 23 ].…”

Section: Introductionmentioning

confidence: 99%

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Wearable Devices in Health Monitoring from the Environmental towards Multiple Domains: A Survey

Haghi

Danyali

Ayasseh

et al. 2021

Sensors

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The World Health Organization (WHO) recognizes the environmental, behavioral, physiological, and psychological domains that impact adversely human health, well-being, and quality of life (QoL) in general. The environmental domain has significant interaction with the others. With respect to proactive and personalized medicine and the Internet of medical things (IoMT), wearables are most important for continuous health monitoring. In this work, we analyze wearables in healthcare from a perspective of innovation by categorizing them according to the four domains. Furthermore, we consider the mode of wearability, costs, and prolonged monitoring. We identify features and investigate the wearable devices in the terms of sampling rate, resolution, data usage (propagation), and data transmission. We also investigate applications of wearable devices. Web of Science, Scopus, PubMed, IEEE Xplore, and ACM Library delivered wearables that we require to monitor at least one environmental parameter, e.g., a pollutant. According to the number of domains, from which the wearables record data, we identify groups: G1, environmental parameters only; G2, environmental and behavioral parameters; G3, environmental, behavioral, and physiological parameters; and G4 parameters from all domains. In total, we included 53 devices of which 35, 9, 9, and 0 belong to G1, G2, G3, and G4, respectively. Furthermore, 32, 11, 7, and 5 wearables are applied in general health and well-being monitoring, specific diagnostics, disease management, and non-medical. We further propose customized and quantified output for future wearables from both, the perspectives of users, as well as physicians. Our study shows a shift of wearable devices towards disease management and particular applications. It also indicates the significant role of wearables in proactive healthcare, having capability of creating big data and linking to external healthcare systems for real-time monitoring and care delivery at the point of perception.

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Section: Discussionmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

Section: Materials and Methodsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Wearable Devices in Health Monitoring from the Environmental towards Multiple Domains: A Survey

Haghi

Danyali

Ayasseh

et al. 2021

Sensors

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“…Accordingly, ODH and A&EI shake hands by looking from two different but convergent viewpoints to the complex disruptive events : a ODH looks at a "population to individual" funnel for the global prevention, response, recovery, and mitigation of health and environment-related events ; b A&EI looks at the disruptive events from the casualty perspective by providing a short-, mid-, and long-term follow-up to each case by identifying in a unique and specific way via ISAN anywhere, anytime, and for anyone or anything (A4) [46]. A&EI uses a complementary funnel to ODH, looking from "individual to population".…”

Section: Odh and Aandei: Viewpointsmentioning

confidence: 99%

Accident & Emergency Informatics and One Digital Health

2022

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Objectives: Climate changes are the major challenge in public and individual health, as they modify the ecosystem and yield contagious diseases from animal to human. Furthermore, we notice the rapid development of elderly, changing the population demographic. These critical measures have imposed economical costs, require trained personnel, and reduce the healthcare systems' performances. Methods: COVID-19 pandemic showed that digital health paradigms such as m-health, telemedicine, and Internet of medical things (IoMT) should be further developed for such disasters. Quarantine was experienced frequently at different levels, which indicates the urgent need to develop smart medical homes for continuous monitoring of the patients. Human health, environment, and animals are the three interwoven aspects of public health that should be formulated under a conceptual and unified framework. Accident and Emergency Informatics (A&EI) considers the prediction and prevention of an individual's health in the long term and detects instant accidents and emergencies for further processes linking to hospital and rescue services for lowering the impact. One Digital Health (ODH) considers the health of the human, the animal, and the environment as a whole. Results & Conclusion: In this position paper, we discuss the mutual benefits of A&EI and ODH in disaster management. We outline the mission, current status of A&EI in healthcare, and summarize the most important development of A&EI-related scope in the other fields of science. We discuss developing smart environments to monitor environmental and animal aspects. Then we examine the use of the ODH framework for enhancing the A&EI capacities to deal with complex disasters. Moreover, we discuss the further development of the international standard accident number (ISAN) to include and link environmental and animal event related data. Besides, ODH will cope with the A&EI protocols and technical specifications to be part of A&EI in the application layer.

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Digital Emergency Management for a Complex One Health Landscape: the Need for Standardization, Integration, and Interoperability

Benis,

Haghi,

Tamburis

et al. 2023

Yearb Med Inform

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Objective: Planning reliable long-term planning actions to handle disruptive events requires a timely development of technological infrastructures, as well as the set-up of focused strategies for emergency management. The paper aims to highlight the needs for standardization, integration, and interoperability between Accident & Emergency Informatics (A&EI) and One Digital Health (ODH), as fields capable of dealing with peculiar dynamics for a technology-boosted management of emergencies under an overarching One Health panorama. Methods: An integrative analysis of the literature was conducted to draw attention to specific foci on the correlation between ODH and A&EI, in particular: (i) the management of disruptive events from private smart spaces to diseases spreading, and (ii) the concepts of (health-related) quality of life and well-being. Results: A digitally-focused management of emergency events that tackles the inextricable interconnectedness between humans, animals, and surrounding environment, demands standardization, integration, and systems interoperability. A consistent and finalized process of adoption and implementation of methods and tools from the International Standard Accident Number (ISAN), via findability, accessibility, interoperability, and reusability (FAIR) data principles, to Medical Informatics and Digital Health Multilingual Ontology (MIMO) - capable of looking at different approaches to encourage the integration between the ODH framework and the A&EI vision, provides a first answer to these needs. Conclusions: ODH and A&EI look at different scales but with similar goals for converging health and environmental-related data management standards to enable multi-sources, interdisciplinary, and real-time data integration and interoperability. This allows holistic digital health both in routine and emergency events.

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General Conceptual Framework of Future Wearables in Healthcare: Unified, Unique, Ubiquitous, and Unobtrusive (U4) for Customized Quantified Output

Cited by 8 publications

References 51 publications

Wearable Devices in Health Monitoring from the Environmental towards Multiple Domains: A Survey

Wearable Devices in Health Monitoring from the Environmental towards Multiple Domains: A Survey

Accident & Emergency Informatics and One Digital Health

Digital Emergency Management for a Complex One Health Landscape: the Need for Standardization, Integration, and Interoperability

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