Digital Transformation in Healthcare: Technology Acceptance and Its Applications

International Journal of Environmental Research and Public Health, Journal Year: 2023, Volume and Issue: 20(4), P. 3407 - 3407

Published: Feb. 15, 2023

Technological innovation has become an integral aspect of our daily life, such as wearable and information technology, virtual reality the Internet Things which have contributed to transforming healthcare business operations. Patients will now a broader range more mindful choices experience new era with patient-centric culture. Digital transformation determines personal institutional health care. This paper aims analyse changes taking place in field due digital transformation. For this purpose, systematic bibliographic review is performed, utilising Scopus, Science Direct PubMed databases from 2008 2021. Our methodology based on approach by Wester Watson, classify related articles concept-centric method ad hoc classification system identify categories used describe areas literature. The search was made during August 2022 identified 5847 papers, 321 fulfilled inclusion criteria for further process. Finally, removing adding additional studies, we ended 287 grouped into five themes: technology health, educational impact e-health, acceptance telemedicine security issues.

Language: Английский

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Multiple sclerosis progression: time for a new mechanism-driven framework

The Lancet Neurology, Journal Year: 2022, Volume and Issue: 22(1), P. 78 - 88

Published: Nov. 18, 2022

Language: Английский

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Personal Digital Twin: A Close Look into the Present and a Step towards the Future of Personalised Healthcare Industry

Sensors, Journal Year: 2022, Volume and Issue: 22(15), P. 5918 - 5918

Published: Aug. 8, 2022

Digital twins (DTs) play a vital role in revolutionising the healthcare industry, leading to more personalised, intelligent, and proactive healthcare. With evolution of personalised healthcare, there is significant need represent virtual replica for individuals provide right type care way at time. Therefore, this paper, we surveyed concept personal digital twin (PDT) as an enhanced version DT with actionable insight capabilities. In particular, PDT can bring value patients by enabling accurate decision making proper treatment selection optimisation. Then, explored progression revolutionary technology research industry. However, although several works have been performed smart using DT, still early stage. Consequently, believe that work be step towards industry guiding design industrial systems. Accordingly, introduced reference framework empowers PDTs bringing together existing advanced technologies (i.e., blockchain, AI). described some selected use cases, including mitigation COVID-19 contagion, survivor follow-up care, medicine, osteoporosis prevention, cancer nutrition. Finally, identified further challenges pave paradigm toward

Language: Английский

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Digital Twins for Managing Health Care Systems: Rapid Literature Review

Journal of Medical Internet Research, Journal Year: 2022, Volume and Issue: 24(8), P. e37641 - e37641

Published: Aug. 16, 2022

Background Although most digital twin (DT) applications for health care have emerged in precision medicine, DTs can potentially support the overall process. (twinned systems, processes, and products) be used to optimize flows, improve performance, outcomes, experiences of patients, doctors, other stakeholders with minimal risk. Objective This paper aims review DT products, processes as well analyze potential these improving management challenges associated this emerging technology. Methods We performed a rapid literature reported available studies on their management. searched 5 databases published between January 2002 2022 included peer-reviewed written English. excluded reporting usage practice (organ transplant, etc). Studies were analyzed based contribution toward technology user experience from human factors systems engineering perspectives, accounting type impact (product, process, or performance/system level). Challenges related adoption also summarized. Results The DT-related aimed at managing been growing over time 0 17 2022, 7 2021 (N=17 studies). findings categorized by (system: n=8; process: n=5; product: n=4) contributions functions. identified 4 main functions including safety (n=3), information (n=2), well-being promotion operational control (n=9). avoid unintended unexpected harm people during provision processes. They help identify crisis-related threats system impacts. In addition, ensure privacy, security, real-time access all stakeholders. Furthermore, they are beneficial empowering self-care abilities enabling practices providing high efficiency levels ensuring that facilities run smoothly offer high-quality every patient. Conclusions use is an topic. seen limited supporting However, increasingly being patient organized system. Thus, further aiming address performance should investigate such technologies embed ergonomics principles better design more successful doctor experiences.

Language: Английский

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Revolutionary Point‐of‐Care Wearable Diagnostics for Early Disease Detection and Biomarker Discovery through Intelligent Technologies

Advanced Science, Journal Year: 2024, Volume and Issue: unknown

Published: July 3, 2024

Early-stage disease detection, particularly in Point-Of-Care (POC) wearable formats, assumes pivotal role advancing healthcare services and precision-medicine. Public benefits of early detection extend beyond cost-effectively promoting outcomes, to also include reducing the risk comorbid diseases. Technological advancements enabling POC biomarker recognition empower discovery new markers for various health conditions. Integration wearables with intelligent frameworks represents ground-breaking innovations automation operations, conducting advanced large-scale data analysis, generating predictive models, facilitating remote guided clinical decision-making. These substantially alleviate socioeconomic burdens, creating a paradigm shift diagnostics, revolutionizing medical assessments technology development. This review explores critical topics recent progress development 1) systems solutions physiological monitoring, as well 2) discussing current trends adoption smart technologies within settings developing biological assays, ultimately 3) exploring utilities platforms discovery. Additionally, translation from research labs broader applications. It addresses associated risks, biases, challenges widespread Artificial Intelligence (AI) integration diagnostics systems, while systematically outlining potential prospects, challenges, opportunities.

Language: Английский

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Literature review of digital twin in healthcare

Heliyon, Journal Year: 2023, Volume and Issue: 9(9), P. e19390 - e19390

Published: Aug. 24, 2023

This article aims to make a bibliometric literature review using systematic scientific mapping and content analysis of digital twins in healthcare know the evolution, domain, keywords, type, kind purpose twin's implementation healthcare, so consolidation future improvement existing knowledge can be made gaps for new studies identified. The increase publications is quite recent it still concentrated domain technology sources. subject majorly patient's twin group precision medicine aspects, issues and/or policies subgroups, although keywords mirror only at side. Digital are probably stepping out infancy phase. On other hand, hospital device facilities management subgroups more mature with all gathered from manufacturing sector. There an absence some publication's types general, care subgroup no whole body or was reported. Based on presented arguments, guidelines research were presented: advance creation general frameworks, not as much explored, groups already but that need advancement achieve main goals human resolved.

Language: Английский

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Precision Medicine 2.0: How Digital Health and AI Are Changing the Game

Journal of Personalized Medicine, Journal Year: 2023, Volume and Issue: 13(7), P. 1057 - 1057

Published: June 28, 2023

In the era of rapid IT developments, health domain is undergoing a considerable transformation [...].

Language: Английский

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Definitions of digital biomarkers: a systematic mapping of the biomedical literature

BMJ Health & Care Informatics, Journal Year: 2024, Volume and Issue: 31(1), P. e100914 - e100914

Published: April 1, 2024

Background Technological devices such as smartphones, wearables and virtual assistants enable health data collection, serving digital alternatives to conventional biomarkers. We aimed provide a systematic overview of emerging literature on ‘digital biomarkers,’ covering definitions, features citations in biomedical research. Methods analysed all articles PubMed that used biomarker(s)’ title or abstract, considering any study involving humans review, editorial, perspective opinion-based up 8 March 2023. systematically extracted characteristics publications research studies, definitions biomarkers’ mentioned. described the most influential biomarkers their using thematic categorisations Food Drug Administration Biomarkers, EndpointS other Tools framework (ie, type, collection method, purpose biomarker), analysing structural similarity by performing text citation analyses. Results identified 415 biomarker’ between 2014 2023 (median 2021). The majority (283 articles; 68%) were primary Notably, 287 (69%) did not definition Among 128 with there 127 different ones. Of these, 78 considered 56 50 23 included three components. Those had median 6 citations, top 10 each presenting distinct definitions. Conclusions vary significantly, indicating lack consensus this field. Our highlights key defining characteristics, which could guide development more harmonised accepted definition.

Language: Английский

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Digital Twins’ Advancements and Applications in Healthcare, Towards Precision Medicine

Journal of Personalized Medicine, Journal Year: 2024, Volume and Issue: 14(11), P. 1101 - 1101

Published: Nov. 11, 2024

This review examines the significant influence of Digital Twins (DTs) and their variant, Human (DHTs), on healthcare field. DTs represent virtual replicas that encapsulate both medical physiological characteristics-such as tissues, organs, biokinetic data-of patients. These models facilitate a deeper understanding disease progression enhance customization optimization treatment plans by modeling complex interactions between genetic factors environmental influences. By establishing dynamic, bidirectional connections physical objects digital counterparts, these technologies enable real-time data exchange, thereby transforming electronic health records. Leveraging increasing availability extensive historical datasets from clinical trials real-world sources, AI can now generate comprehensive predictions future outcomes for specific patients in form AI-generated DTs. Such also offer insights into potential diagnoses, progression, responses. remarkable paves way precision medicine personalized health, allowing high-level individualized interventions therapies. However, integration faces several challenges, including security, accessibility, bias, quality. Addressing obstacles is crucial to realizing full DHTs, heralding new era personalized, precise, accurate medicine.

Language: Английский

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CoGames: Development of an adaptive smartphone-based and gamified monitoring tool for cognitive function in Multiple Sclerosis

Journal of Neurology, Journal Year: 2025, Volume and Issue: 272(2)

Published: Jan. 15, 2025

Language: Английский

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