Sensors and healthcare 5.0: transformative shift in virtual care through emerging digital health technologies

Global Health Journal, Journal Year: 2021, Volume and Issue: 5(4), P. 169 - 177

Published: Nov. 25, 2021

Emerging digital technologies continues to evolve posing unprecedented opportunities in health systems globally improve healthcare services delivery. There has been significant progress healthcare. However, the lack of emotive recognition coupled with a dearth personalized and pervasive applications smart devices calls for integration intelligent sensors through emerging technologies. Although there connected care, more research innovation, dissemination are needed unbundle new move towards 5.0. Healthcare is at dawn paradigm change reach era disease control detection, virtual management, monitoring, decision-making. Therefore, this study discusses roles capacities sensors, their capabilities other such as nanotechnology, 5 G technologies, drone technology, blockchain, robotics, big data, internet things, artificial intelligence, cloud computing. 5.0 provides including patient remote tracking clinics, telemedicine, ambient assisted living, self-management, wellness monitoring control, treatment reminders, compliance adherence, care. building resilience robust not immune challenges. Organizational challenges, technological infrastructural barriers, legal regulatory frameworks e-health policies, individual perceptions, misalignment hospitals' strategy, funding, religious cultural barriers identified potential successful implementation need resilient technology-driven systems. To achieve this, expanding infrastructure, provision budgetary support based on sustainable business models, develop appropriate standardization synchronization protocols, improving stakeholders' engagement involvement establishment private public partnerships investments.

Language: Английский

---

A critical review of emerging technologies for tackling COVID ‐19 pandemic

Human Behavior and Emerging Technologies, Journal Year: 2020, Volume and Issue: 3(1), P. 25 - 39

Published: Dec. 1, 2020

COVID-19 pandemic affects people in various ways and continues to spread globally. Researches are ongoing develop vaccines traditional methods of Medicine Biology have been applied diagnosis treatment. Though there success stories recovered cases as November 10, 2020, no approved treatments for COVID-19. As the spread, current measures rely on prevention, surveillance, containment. In light this, emerging technologies tackling become inevitable. Emerging including geospatial technology, artificial intelligence (AI), big data, telemedicine, blockchain, 5G smart applications, Internet Medical Things (IoMT), robotics, additive manufacturing substantially important detecting, monitoring, diagnosing, screening, mapping, tracking, creating awareness. Therefore, this study aimed at providing a comprehensive review these with emphasis features, challenges, country domiciliation. Our results show that performance is not yet stable due nonavailability enough dataset, inconsistency some dataset available, nonaggregation contrasting data format, missing noise. Moreover, security privacy people's health information totally guaranteed. Thus, further research required strengthen strong need emergence robust computationally intelligent model early differential

Language: Английский

---

Virtual healthcare services and digital health technologies deployed during coronavirus disease 2019 (COVID-19) pandemic in South Africa: a systematic review

Global Health Journal, Journal Year: 2022, Volume and Issue: 6(2), P. 102 - 113

Published: March 5, 2022

To identify virtual healthcare services and digital health technologies deployed in South Africa during coronavirus disease 2019 (COVID-19) the challenges associated with their use. determine status of utilization COVID-19 Africa, preferred reporting items for systematic reviews meta-analyses model was used to perform a in-depth critical analysis previously published studies well-known trusted online electronic databases using specific search keywords words that are relevant this study. We selected peer-reviewed articles available from onset July 2021. Total 24 were included into This study revealed adopted such as SMS-based solutions, mobile applications, telemedicine telehealth, WhatsApp-based systems, artificial intelligence chatbots robotics provide pandemic. These innovative have been various purposes including screening infectious non-infectious diseases, surveillance monitoring, medication treatment compliance, creating awareness communication. The also teleconsultation e-prescription, telelaboratory telepharmacy, teleeducation teletraining, teledermatology, teleradiology, telecardiology, teleophthalmology, teleneurology, telerehabilitation, teleoncology telepsychiatry among delivered through Africa. However, these smart face several impediments infrastructural technological barriers, organization financial policy regulatory barriers well cultural barriers. Although has invigorated use technologies, there still some shortcomings. outbreak pandemics like future is not inevitable. Therefore, we recommend increasing community networks rural areas bridge divide modification mHealth advocate effective development sustainable strategies resources mobilization private-public partnerships joining international initiatives advocating health.

Language: Английский

---

Coping with crisis: The paradox of technology and consumer vulnerability

International Journal of Consumer Studies, Journal Year: 2021, Volume and Issue: 45(6), P. 1239 - 1257

Published: June 21, 2021

Abstract The COVID‐19 pandemic has created unprecedented disruptions in consumers’ daily lives. Regulations imposing social distancing, quarantine and full‐scale lockdowns have heightened the risks amongst vulnerable consumer groups such as elderly socially or financially disadvantaged. However, these restrictions also caused transitory vulnerability many people who are not considered under normal circumstances. Digital technology become central to almost every aspect of lives response restriction measures coping with pandemic‐induced stress anxiety. Technology‐mediated consumption a strategy amidst crisis is an under‐researched topic within marketing literature. This paper discusses four paradoxes understanding nexus between vulnerability. We propose comprehensive research agenda call for future that could overcome limitations traditional designs. Our work serves springboard scholarship opens doors other researchers continue exploring this critical area.

Language: Английский

---

Vaccine supply chain management: An intelligent system utilizing blockchain, IoT and machine learning

Journal of Business Research, Journal Year: 2022, Volume and Issue: 156, P. 113480 - 113480

Published: Dec. 2, 2022

Language: Английский

---

Digital technologies, healthcare and Covid-19: insights from developing and emerging nations

Health and Technology, Journal Year: 2022, Volume and Issue: 12(2), P. 547 - 568

Published: March 1, 2022

Language: Английский

---

Blockchain for sustainable supply chain management: trends and ways forward

Electronic Commerce Research, Journal Year: 2022, Volume and Issue: 24(3), P. 1563 - 1618

Published: May 27, 2022

Abstract Blockchain operates on a highly secured framework, and its decentralized consensus has benefits for supply chain sustainability. Scholars have recognized the growing importance of sustainability in chains studied potential blockchain sustainable management. However, no study taken stock high-quality research this area. To address gap, paper aims to provide state-of-the-art overview do so, conducts systematic literature review using bibliometric analysis 146 articles management that been published journals ranked “A*”, “A”, “B” by Australian Business Deans Council retrieved from Scopus database. In doing unpacks most prominent journals, authors, institutions, countries contributed three major themes field, namely business activities, decision support systems blockchain, intelligent transportation system. This also reveals use across four sectors, food, healthcare, manufacturing, infrastructure, concludes with suggestions future each sector.

Language: Английский

---

Surveillance and response strategies for zoonotic diseases: a comprehensive review

Science in One Health, Journal Year: 2023, Volume and Issue: 2, P. 100050 - 100050

Published: Jan. 1, 2023

Out of all emerging infectious diseases, approximately 75% are zoonotic origin, with their source often traced back to animals. The emergence zoonoses is driven by a complex interplay between anthropogenic, genetic, ecological, socioeconomic, and climatic factors. This intricate web influences poses significant challenges for the prediction prevention outbreaks. Effective coordination collaboration among animal, human, environmental health sectors essential proactively addressing major diseases. Despite advancements in surveillance diagnostic practices, continues be pressing global concern. Therefore, prioritizing disease paramount importance as part comprehensive containment strategy. Furthermore, evaluating existing systems provides insights into faced, which can mitigated through implementation 'One Health' principles involving relevant stakeholders. To initiate multisectoral partnerships, it crucial identify priorities core themes equitable inputs from various sectors. Strengthening surveillance, promoting data sharing, enhancing laboratory testing capabilities, fostering joint outbreak responses both human animal will establish necessary infrastructure effectively prevent, predict, detect, respond threats, thereby reinforcing security. review assesses approaches offering an overview agencies engaged monitoring outlines components required at human-animal-environment interface designing networks. Additionally, discusses key steps executing effective One Health approach, while highlighting encountered establishing such robust system.

Language: Английский

---

Precision medicine: Concept and tools

Medical Journal Armed Forces India, Journal Year: 2021, Volume and Issue: 77(3), P. 249 - 257

Published: July 1, 2021

Language: Английский

---

Application of deep learning and machine learning models to detect COVID-19 face masks - A review

Sustainable Operations and Computers, Journal Year: 2021, Volume and Issue: 2, P. 235 - 245

Published: Jan. 1, 2021

The continuous COVID-19 upsurge and emerging variants present unprecedented challenges in many health systems. Many regulatory authorities have instituted the mandatory use of face masks especially public places where massive contact people is frequent inevitable, particularly inside transport facilities, sports arenas, shopping malls workplaces. However, compliance adherence to proper wearing been difficult due various reasons including diversified mask types, different degrees obstructions, variations, balancing model detection accuracy or errors deployment requirements, angle view, on computers with limited processing power, low-resolution images, facial expression, lack real-world dataset. Therefore, this study aimed at providing a comprehensive review artificial intelligence models that used detect masks. revealed deep learning such as Inceptionv3 convolutional neural network achieved 99.9% detecting We deducted most datasets are created artificially, do not represent environments which ultimately affect precision when deployed real world. Hence there need for sharing images modelling techniques. also deeper wider architectures increased training parameters, inception-v4, Mask R-CNN, Faster YOLOv3, Xception, DenseNet yet implemented

Language: Английский

---