Tackling The New Health-Care Paradigm Through Service Robotics: Unobtrusive, efficient, reliable, and modular solutions for assisted-living environments

Schwiegelshohn, Fynn; Hübner, Michael; Wehner, Philipp; Göhringer, Diana

doi:10.1109/mce.2017.2685158

Cited by 14 publications

(4 citation statements)

References 13 publications

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“…In order to monitor the health of its residents, a smart home may have a number of IoMT devices installed. Smart home sensors may be able to detect falls and immediately contact help if necessary [191]. The IoMT may also include devices for monitoring vital signs, which may alert clinicians to developing health issues.…”

Section: R Iomt In Smart Homesmentioning

confidence: 99%

Security and Privacy in Machine Learning for IoHT and IoMT: A Review

Priyadarshi,

Gheisari

2024

Preprint

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The emergence of Internet of Things (IoT) devices is revolutionizing healthcare. This dynamic healthcare environment relies on Internet of Healthcare Things (IoHT) and Internet of Medical Things (IoMT) technologies. Economic, social, and technological opportunities from the IoHT are transforming healthcare systems. This article covers the history, present condition, and future prospects of IoHT, as well as its topologies, platforms, services, applications, market trends, and solution types. It examines security issues, requirements, and a threat taxonomy, studying smart healthcare privacy and security. It explores future research and the challenges IoHT-based solutions face. International health rules and regulations based on the IoT and their social and economic effects on long-term development are also examined. Integrating IoMT into healthcare infrastructures enhances scalability, efficiency, reliability, and accuracy. Through communication networks and data-processing algorithms, IoMT creates smart hardware and software platforms that enhance decision-making. IoMT devices' low resources raise privacy and security concerns. Security and privacy issues are organised by healthcare IoMT adoption in this study. We give an extensive attack taxonomy against the IoMT infrastructure, encompassing devices, security mechanisms, and their pros and cons. Furthermore, it describes the privacy and security requirements for any unique security solutions against IoMT's multiple attack vectors. This article explains the complicated difficulties, security concerns, and future research pathways needed to safeguard and ensure the long-term expansion of these game-changing technologies in the healthcare ecosystem.

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Section: R Iomt In Smart Homesmentioning

confidence: 99%

Security and Privacy in Machine Learning for IoHT and IoMT: A Review

Priyadarshi,

Gheisari

2024

Preprint

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“…Digital technologies are providing new possibilities on all fronts -customerfacing, professionals-facing, and organisation/provider facing. The challenge is to make them interwork and deliver improved care systems that involve the customer/patient and deliver reliable care with positive outcomes, while remaining cost-effective [5]. In this context, we briefly look at self-care and wellness which are two recent trends in the healthcare landscape that can be impacted substantially and positively by digital technologies.…”

Section: Consumer Healthcarementioning

confidence: 99%

Consumer Health Care: Current Trends in Consumer Health Monitoring

Garge

Balakrishna

Datta

2018

IEEE Consumer Electron. Mag.

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“…Life expectancy at age 20 is predicted to increase by approximately one year per decade for females and males between now and 2040 [3]. Compared to the working-age population, the proportion of older adults will eventually grow to a point where there are not enough 2 of 12 people, let alone professional care-givers, to care for the elderly [4][5][6]. It seems impossible to continue organizing eldercare in the same way as before [7].…”

Section: Introductionmentioning

confidence: 99%

Do You Care for Robots That Care? Exploring the Opinions of Vocational Care Students on the Use of Healthcare Robots

2019

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Background: There has been a rapid increase in the population of senior citizens in many countries. The shortage of caregivers is becoming a pressing concern. Robots are being deployed in an attempt to fill this gap and reduce the workload of caregivers. This study explores how healthcare robots are perceived by trainee care professionals. Methods: A total of 2365 students at different vocational levels completed a questionnaire, rating ethical statements regarding beneficence, maleficence, justice, autonomy, utility, and use intentions with regard to three different types of robots (assistive, monitoring, and companion) along with six control variables: gender, age, school year, technical skills, interest in technology, and enjoying working with computers. The scores were analyzed by MANOVA statistics. Results: In relation to our research questions: All students viewed companion robots as more beneficent than monitoring and assistive robots. Level of education did not lead to any differences in appraisal. Participants rated maleficence lowest and the highest scores were given to autonomy and utility, meaning a positive evaluation of the use of healthcare robots. Surprisingly, all students rated use intentions low, indicating a poor motivation to actually use a robot in the future, although participants stated a firmer intention for using monitoring devices. Conclusion: Care students find robots useful and expect clients to benefit from them, but still are hesitant to use robots in their future practice. This study suggests that it would be wise to enrich the curriculum of intermediate care education with practical classes on the use and ethical implications of care robots, to ensure that this group of trainee care professionals fully understand the possibilities and potential downside of this emerging kind of healthcare technology.

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Tackling The New Health-Care Paradigm Through Service Robotics: Unobtrusive, efficient, reliable, and modular solutions for assisted-living environments

Cited by 14 publications

References 13 publications

Security and Privacy in Machine Learning for IoHT and IoMT: A Review

Security and Privacy in Machine Learning for IoHT and IoMT: A Review

Consumer Health Care: Current Trends in Consumer Health Monitoring

Do You Care for Robots That Care? Exploring the Opinions of Vocational Care Students on the Use of Healthcare Robots

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