Technologies for well-being: a grand challenge in connected health DOI Creative Commons

Toshiyo Tamura

Frontiers in Digital Health, Journal Year: 2024, Volume and Issue: 6

Published: Oct. 30, 2024

In recent years, we have faced various social challenges, such as climate change, declining birth rates, aging populations, and population decline. As COVID-19 cause major changes in the way work live, "well-being" is attracting attention a criterion for "how to change".Although no single definition of well-being has been established, WHO defines "Health not absence disease or infirmity, but rather state physical, mental, well-being. Well-being includes quality life ability individuals societies contribute world with sense meaning purpose [1].We are conducting research development aimed at realizing Information Society where all "people" can enjoy both physical mental/spiritual health which digital real worlds will continue merge. Improving through connected means using technology improve management promote overall wellness. Connected remote monitoring, telemedicine, personal data, chronic management, behavioral support, etc.By integrating these strategies into daily life, benefit from more proactive, personalized, efficient healthcare, ultimately enhancing their well-being.In this challenge, present our efforts different perspectives, including people society, spiritual health.A basic element It important be healthy maintain good mental health, on basis, values (symbiosis, empathy, sustainability, happiness, prosperity) that enhance an individual's (QOL) spread. However, humanity currently experiencing pandemic new type coronavirus infection situation said one significantly reduced worldwide.Physical believed it serve basis cultivating one's life. The medical field undergoing paradigm shift symptomatic therapy, seeks cure after illness, care preventing illness first place (preventive medicine).An perspective behavior EU looking effective change many years. particular, technologies facilitated by wearable Internet Things devices domain engineering computer science. A particular focus placed case study examines application techniques vital signs monitoring wearables, underscoring relevance urgency further critical intersection human [2]. findings shed light promising role wearables IoT devices, hereinafter referred promoting positive improving individuals, highlight need continued area realize full potential societal benefit. support applications offer therapy exercises [3,4], mood tracking [5][6][7], stress [8,9]. Virtual groups counseling services also play role. Iin addition, systems aggregate analyze providing insights tailored specific needs. This personalized approach effectiveness treatments lifestyle changes. Many tools set goals track progress, help stay motivated make These researches emphasize key advantages provide feedback, facilitate self-monitoring, incorporate gamification element. features process enjoyable, individuals' goals, bring up community accountability.Gamification elderly shown promise influencing intentions use technologybased solutions [10]. Sestino and, D'Angelo found gamification-based therapeutics positively affected elderly's intention use, effect increased magnitude participants' socialization-seeking tendency increased, revealing importance socializationoriented stimulating responses technological tools.In working "bio-digital twin technology," enables collection wide variety large amount bio-data everyday modeling physiological functions, simulating future predictions capture characteristics each individual.Sensor-based twins assist sensors automatically performing tasks smart environment [11]. Adibi et al. investigated integration environments sensor technologies, capabilities, location-based services, focusing impact healthcare outcomes. By analyzing applications, they sensor-based were delivery patient well-being.As mentioned earlier, treatment prevention medicine). advanced bio-information processing based mapping lead avoiding unknown risks advance, naturally inducing behaviors, supporting independent living own way. For example, healthbased EHRs machine learning automate real-time patient-centered records securely authorized participants. Predictive needed private public predict early diagnosis. Data collected, algorithms determine condition trigger criticality (abnormality) status Such system aims prediction institutional homes participants On other hand, during reforms promotion working, there reports caused than workplace. There concern activity relaxed lifestyles may onset worsening lifestyle-related diseases. Maintaining often requires "persistence" "effort" discipline establish regular habits. accumulating biosensing data activities habits (diet, exercise sleep), elements well-being, time axis, method acquired reveal biorhythmic individuals. Combining knowledge psychology economics, mechanism regulate rhythms body mind presenting indexing evidence spontaneous effortless developing feedback methods.The clock generates circadian rhythm regulated input external information region brain (the suprachiasmatic nucleus). Recent studies understanding eating right foods healthier diet. words, incorporating diet takes account body's internal should easy develop lifestyle. Chrononutrition mainly tested nocturnal animals mice. Evidence relationship between [13,14].Social isolation become issue due transformation communities result older people, especially those who socially isolated, needs improved.How used address wellbeing, interventions its explored.Engaging adults level technology-based practices increase self-efficacy mobility, infrastructure, [15,16].Connected improves interactions, foster connections. video calls online consultations accessible, mobility issues live areas [12,17]. access reduce isolation.Healthcare platforms connect similar conditions concerns emotional practical advice. encourage belonging.Connected Health creates joins focused wellness members share experiences, tips encouragement.In individual behaviors deliver reminders engagement self-care. Also, plans part strategy.Mobile only families connected, resources health. cognitive, visual, auditory adults' selfefficacy. We recommend loneliness technology-agnostic multifaceted, range recognize competencies types interactions meet preferences.Future explore implications real-world scenarios, evaluating settings sports rehabilitation, monitoring.As continues evolve, understand long-term devices. Through novel well prevent interventions, strive individuals.From perspective, summarized growing healthcare. developments great opportunity proactively problems diagnose, treat, monitor patients out hospital. adoption technology-enabled increases enable flexible models, increasing number traditional augmented replaced implementation depend clear robust code practice privacy, confidentiality, cybersecurity related supply still gaps addressed itself, system, users technology. Specifically, how designed standardized protocols interoperability international cross-state systems. Further efficiency blockchain storage compared centralized, cloud-based context care. Finally, consumer clinician acceptance literacy experience determined. believe addressing go long toward enabling broader save dollars care.While actively discussed fields sociology, little design communication contactless device technology, emerged measure without burdening person being measured. future, necessary while challenges.

Language: Английский

Digital Twins for Healthcare Using Wearables DOI Creative Commons
Zachary D. Johnson, Manob Jyoti Saikia

Bioengineering, Journal Year: 2024, Volume and Issue: 11(6), P. 606 - 606

Published: June 13, 2024

Digital twins are a relatively new form of digital modeling that has been gaining popularity in recent years. This is large part due to their ability update real time physical counterparts and connect across multiple devices. As result, much interest directed towards using the healthcare industry. Recent advancements smart wearable technologies have allowed for utilization human healthcare. Human can be generated biometric data from patient gathered wearables. These then used enhance care through variety means, such as simulated clinical trials, disease prediction, monitoring treatment progression remotely. revolutionary method still its infancy, such, there limited research on wearables generate applications. paper reviews literature pertaining twins, including methods, applications, challenges. The also presents conceptual creating body sensors.

Language: Английский

Citations

5

Digital Twins Generated by Artificial Intelligence in Personalized Healthcare DOI Creative Commons
M. Łukaniszyn, Łukasz Majka,

Barbara Grochowicz

et al.

Applied Sciences, Journal Year: 2024, Volume and Issue: 14(20), P. 9404 - 9404

Published: Oct. 15, 2024

Digital society strategies in healthcare include the rapid development of digital twins (DTs) for patients and human organs medical research use artificial intelligence (AI) clinical practice to develop effective treatments a cheaper, quicker, more manner. This is facilitated by availability large historical datasets from previous trials other real-world data sources (e.g., patient biometrics collected wearable devices). DTs can AI models create predictions future health outcomes an individual form AI-generated twin support assessment silico intervention strategies. are gaining ability update real time relation their corresponding physical connect multiple diagnostic therapeutic devices. Support this personalized medicine necessary due complex technological challenges, regulatory perspectives, issues security trust approach. The challenge also combine different omics quickly interpret order generate disease indicators improve sampling longitudinal analysis. It possible care through various means (simulated trials, prediction, remote monitoring apatient’s condition, treatment progress, adjustments plan), especially environments smart cities territories wider 6G, blockchain (and soon maybe quantum cryptography), Internet Things (IoT), as well technologies, such multiomics. From practical point view, requires not only efficient validation but seamless integration with existing infrastructure.

Language: Английский

Citations

5

A systematic literature review for load balancing and task scheduling techniques in cloud computing DOI Creative Commons

Nisha Devi,

Sandeep Dalal, Kamna Solanki

et al.

Artificial Intelligence Review, Journal Year: 2024, Volume and Issue: 57(10)

Published: Sept. 5, 2024

Language: Английский

Citations

4

THE TRANSFORMATIVE IMPACT OF BIG DATA ON MODERN HEALTHCARE: A TECHNICAL ANALYSIS DOI Open Access

Bharath Nagamalla

Published: Jan. 16, 2025

The healthcare sector is experiencing a transformative digital revolution driven by Big Data analytics, fundamentally changing how medical services are delivered and managed.This comprehensive article analysis explores the integration of advanced technologies in healthcare, focusing on predictive analytics for clinical decision Bharath Nagamalla https://iaeme.com/Home/

Language: Английский

Citations

0

Revolutionizing healthcare: harnessing the power of integrated blockchain and digital twins in smart hospitals DOI

Bilal Manzoor,

Amna Riaz

Elsevier eBooks, Journal Year: 2025, Volume and Issue: unknown, P. 283 - 294

Published: Jan. 1, 2025

Language: Английский

Citations

0

Enhancing hospital operations efficiency through digital twin technology DOI
Saroj Koul, Vinaytosh Mishra, Ivan W. Taylor

et al.

Elsevier eBooks, Journal Year: 2025, Volume and Issue: unknown, P. 511 - 528

Published: Jan. 1, 2025

Language: Английский

Citations

0

Next-generation healthcare: Digital twin technology and Monkeypox Skin Lesion Detector network enhancing monkeypox detection - Comparison with pre-trained models DOI
Vikas Sharma, Akshi Kumar, Kapil Sharma

et al.

Engineering Applications of Artificial Intelligence, Journal Year: 2025, Volume and Issue: 145, P. 110257 - 110257

Published: Feb. 14, 2025

Language: Английский

Citations

0

Adaptive digital twin integration with multilevel inverter control for energy efficient smart rehabilitation systems DOI Creative Commons
Sara Mahmoudi Rashid, Amir Rikhtehgar Ghiasi

Scientific Reports, Journal Year: 2025, Volume and Issue: 15(1)

Published: March 12, 2025

This research proposes an innovative framework integrating adaptive Digital Twin (DT) models with Multi-Level Inverter (MLI) control to improve energy efficiency in advanced rehabilitation systems. By utilizing real-time monitoring and adjustment of power parameters through DT technology, the method achieves precise dynamic devices such as prosthetics exoskeletons. The incorporation MLI ensures smooth efficient delivery, reducing harmonic distortion enhancing overall utilization. Key outcomes include a 14.05% increase efficiency, 8.12% decrease ripple, 24.03% improvement system response accuracy, enabling optimization tailored patient-specific needs. Furthermore, proposed approach lowers operational costs by 7.01% optimized usage extended lifespan. These results highlight potential this advance systems integration digital modeling.

Language: Английский

Citations

0

REAL-WORLD APPLICATIONS OF DIGITAL TWIN TECHNOLOGY IN PERFORMANCE MANAGEMENT: LESSONS FROM GLOBAL HEALTHCARE CASE STUDIES DOI Open Access

Chouguiat Belmallem Saliha,

Koudoua Ferhati

International Journal of Innovative Technologies in Social Science, Journal Year: 2025, Volume and Issue: 1(45)

Published: March 17, 2025

Digital twin technology is revolutionizing healthcare by providing a real-time digital replica of hospital systems, enabling better decision-making and performance optimization. This study examines the implementation models in through an analysis four real-world case studies: The Moorfields Eye Hospital (UK), Singapore General Hospital, Duke Health (USA), Karolinska University (Sweden). By reviewing these cases, highlights their impact on operational efficiency, resource utilization, patient care outcomes. Challenges faced during key lessons learned are discussed to guide future adoption healthcare.

Language: Английский

Citations

0

The New Frontier of Digital Twins in Next-Gen Wearables for Personalized Health Tracking DOI

A. Ashwini,

G. Santhiya,

S. Balasubramaniam

et al.

Advances in computational intelligence and robotics book series, Journal Year: 2025, Volume and Issue: unknown, P. 107 - 138

Published: March 28, 2025

Next-generation wearable technologies and digital twins are the two ingredients that make field of individual health monitoring innovation. Digital virtual representations people, which assimilate data from devices with biometric use analytic machine learning tools to produce models human change in real-time. The biomechanical equivalents these variables help enhancing examination cyclers' physiological alterations a way creates more compelling proposals for patient-oriented medical treatments. By integrating this twin models, healthcare providers can simulate scenarios, predict potential risks, tailor treatment plans unique needs each patient. As integration continues evolve, it promises unlock new frontiers personalized tracking, revolutionizing individuals clinicians manage wellness.

Language: Английский

Citations

0