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Journal of World Future Medicine, Health and Nursing
Published by Yayasan Adra Karima Hubbi
ISSN : 29880459     EISSN : 29887550     DOI : 10.70177/health
Core Subject :
Journal of World Future Medicine, Health and Nursing is a leading international journal focused on the global exchange of knowledge in medicine, health, and nursing, as well as advancing research and practice across health disciplines. The journal provides a forum for articles reporting on original research, systematic and scholarly reviews focused on health science, clinical practice and education from around the world. Journal of World Future Medicine, Health and Nursing publishes national and international research in an attempt to present a reliable and respectable information source for the researchers. Journal of World Future Medicine, Health and Nursing has been published since 2023, published three times a year January, May and September,. The articles submitted for publication are subjected to double-blind reviewing process. The journal publishes original articles in English.
Arjuna Subject : -
Articles 7 Documents
 1 
Search results for , issue "vol. 3 no. 2 (2025)" : 7 Documents clear
Increasing Nursing Efficiency Through the Use of Wearable Devices in Patient Management Catur Budi Susilo; Josefa Flores; Catherine Li
Journal of World Future Medicine, Health and Nursing Vol. 3 No. 2 (2025)
Publisher : Yayasan Adra Karima Hubbi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/health.v3i2.1904

Abstract

The healthcare sector faces increasing pressure to improve efficiency in patient management due to rising demands for services and limited nursing resources. The integration of wearable devices in healthcare offers a promising solution to enhance nursing efficiency by providing real-time monitoring and data collection. This study aims to explore the impact of wearable devices on nursing efficiency, particularly in the management of patients with chronic conditions. A mixed-methods approach was employed, combining quantitative analysis of patient outcomes and qualitative interviews with healthcare professionals using wearable technology in clinical settings. The results show that the use of wearable devices led to a 20% reduction in nurse workload, as real-time monitoring allowed for early detection of health issues, reducing the need for frequent in-person checks. Additionally, patient satisfaction increased by 15% due to the continuous monitoring and prompt intervention facilitated by wearable devices. The study concludes that wearable devices can significantly enhance nursing efficiency and improve patient outcomes, particularly in chronic disease management. The integration of these devices into healthcare systems has the potential to alleviate nursing shortages, improve patient care, and optimize resource allocation. However, challenges such as data security and device integration must be addressed for widespread adoption.
Technology Strategies in Health Promotion: Preventive Lifestyle Interventions to Reduce the Burden of Disease Eka Sari Ridwan; Omar Ahmad; Zainab Ali
Journal of World Future Medicine, Health and Nursing Vol. 3 No. 2 (2025)
Publisher : Yayasan Adra Karima Hubbi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/health.v3i2.1905

Abstract

The global burden of disease, driven largely by preventable lifestyle factors such as poor diet, physical inactivity, and smoking, continues to strain healthcare systems worldwide. In response, health promotion strategies incorporating technological innovations have gained prominence as effective tools for preventive interventions. This study explores various technology-based strategies in health promotion, focusing on their role in encouraging preventive lifestyle changes to reduce the incidence of chronic diseases. The research employs a systematic review methodology, analyzing data from 40 peer-reviewed studies that evaluate the effectiveness of digital interventions such as mobile health apps, telemedicine, and wearable devices in promoting healthy behaviors. The findings indicate that technology-based interventions significantly improve health outcomes by increasing physical activity, enhancing dietary habits, and reducing smoking rates. Additionally, these interventions are shown to be highly effective in engaging populations that may have limited access to traditional healthcare services. The study concludes that technology-based health promotion strategies offer scalable, cost-effective solutions to reducing the burden of disease. However, challenges remain in ensuring equitable access and addressing concerns related to data privacy and security. The research underscores the importance of integrating technological tools into public health strategies to drive long-term improvements in population health.
Facing the Impact of Climate Change on Global Health: Science and Technology Based Adaptation Sri Ariyanti; Aylin Erdogan; Musdania Musdania; Benny Novico Zani
Journal of World Future Medicine, Health and Nursing Vol. 3 No. 2 (2025)
Publisher : Yayasan Adra Karima Hubbi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/health.v3i2.1906

Abstract

Climate change poses a significant threat to global health, exacerbating existing health challenges and creating new risks. Rising temperatures, extreme weather events, and shifting disease patterns are already contributing to the increasing burden of diseases such as malaria, heatstroke, and respiratory disorders. This research explores the role of science and technology in adapting to the health impacts of climate change, focusing on innovative solutions to mitigate the health risks associated with environmental changes. The study employs a systematic review approach, analyzing data from 50 peer-reviewed studies that examine technological advancements, such as climate-resilient healthcare infrastructure, early warning systems, and the development of heat-resistant crops. The results indicate that technology-based adaptation strategies can significantly reduce the impact of climate change on public health by improving disease forecasting, enhancing healthcare system resilience, and supporting preventive measures. The study concludes that multi-disciplinary approaches involving science, technology, and policy-making are crucial to address the health challenges posed by climate change. Collaboration across sectors is needed to implement these strategies on a global scale, ensuring equitable access to climate-related health solutions. This research underscores the importance of continued investment in climate-resilient health systems to safeguard global health in the face of climate change.
Sustainable Health Model: Increasing Universal Access to Health Services in Remote Areas Ardenny Ardenny; Le Hoang Nam; Pham Anh Tu
Journal of World Future Medicine, Health and Nursing Vol. 3 No. 2 (2025)
Publisher : Yayasan Adra Karima Hubbi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/health.v3i2.1907

Abstract

Access to healthcare services in remote areas remains a significant global challenge, with many populations experiencing disparities in healthcare availability, quality, and affordability. Sustainable health models that ensure universal access to health services are essential for improving public health outcomes in underserved areas. This study investigates the potential for sustainable health models to increase healthcare access in remote regions, focusing on the role of telemedicine, mobile health clinics, and community health workers. The research employs a mixed-methods approach, combining qualitative interviews with healthcare professionals and quantitative data on healthcare access and outcomes in remote communities. The findings indicate that telemedicine platforms have improved healthcare delivery by 40%, while mobile health clinics and trained community health workers have expanded service reach, particularly in geographically isolated areas. Furthermore, community-based health interventions have led to a 30% reduction in preventable diseases in these regions. The study concludes that integrating technology with community-based solutions offers a scalable and effective approach to achieving universal health access in remote areas. However, challenges such as technology infrastructure, resource allocation, and healthcare workforce training need to be addressed to ensure the sustainability of these models.
Artificial intelligence innovations in genetic technology: DNA-based diagnostics for the future of medicine Thandar Htwe; Aung Myint; Muntasir Muntasir
Journal of World Future Medicine, Health and Nursing Vol. 3 No. 2 (2025)
Publisher : Yayasan Adra Karima Hubbi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/health.v3i2.1908

Abstract

Advancements in artificial intelligence (AI) are revolutionizing the field of genetic technology, particularly in DNA-based diagnostics, offering promising applications for the future of medicine. The rapid growth of AI in the analysis of genetic data allows for faster, more accurate, and cost-effective diagnostic processes. This study explores the integration of AI innovations in DNA diagnostics and their potential to transform clinical practices. Using a systematic review methodology, this research evaluates the current AI-driven genetic diagnostic technologies, focusing on their impact on disease detection, genetic mutation identification, and personalized treatment strategies. The findings reveal that AI-based tools, such as deep learning and machine learning algorithms, significantly improve the accuracy and speed of genetic diagnoses, particularly in rare genetic disorders and cancers. These technologies are also shown to enhance the predictive power of genetic tests, offering insights into patients' future health risks. The study concludes that AI-driven DNA diagnostics hold the potential to revolutionize medical practice, providing more precise, individualized care while reducing healthcare costs. However, challenges related to data privacy, algorithm transparency, and the need for large-scale clinical validation remain.  
Technology-Based Care Model: Building a Sustainable Nursing System in Disadvantaged Areas Rizka Adela Fatsena; Dina Ahmed; Mona Abdallah; Siska Indrayani
Journal of World Future Medicine, Health and Nursing Vol. 3 No. 2 (2025)
Publisher : Yayasan Adra Karima Hubbi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/health.v3i2.1910

Abstract

In disadvantaged areas, limited access to healthcare services poses significant challenges to achieving equitable health outcomes. The integration of technology in healthcare systems has been proposed as a solution to bridge gaps in access and quality, particularly in nursing care. This research explores the effectiveness of a technology-based care model in building a sustainable nursing system in underserved regions. The study utilizes a mixed-methods approach, combining quantitative data on health outcomes with qualitative insights from healthcare providers and patients. The findings indicate that technology-based interventions, such as telemedicine, mobile health applications, and remote patient monitoring, led to a 20% improvement in patient outcomes and a 30% reduction in healthcare delivery costs. Additionally, healthcare providers reported increased efficiency and job satisfaction due to the support offered by technology in monitoring patient conditions and facilitating remote consultations. The study concludes that the adoption of technology-driven care models can significantly enhance nursing systems in disadvantaged areas by improving accessibility, efficiency, and sustainability of care. However, challenges related to infrastructure, training, and data security must be addressed to ensure the success of such models. Future research should focus on scaling these models to other resource-limited settings and assessing their long-term impact.
Big Data and Epidemiology: Predictive Models for Future Infectious Disease Outbreaks Munkhzul Ganbat; Baatar Tserendorj; Selenge Batbold; Rustiyana Rustiyana
Journal of World Future Medicine, Health and Nursing Vol. 3 No. 2 (2025)
Publisher : Yayasan Adra Karima Hubbi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/health.v3i2.2805

Abstract

Intensifying global mobility, climate variability, and urban density have increased the frequency and complexity of infectious disease outbreaks, prompting the need for more accurate and timely epidemiological surveillance. Big Data analytics has emerged as a transformative approach capable of integrating heterogeneous datasets to detect patterns that traditional surveillance systems often miss. This study aims to examine the effectiveness of predictive modeling techniques leveraging Big Data sources such as social media activity, electronic health records, mobility data, and environmental indicators in forecasting potential infectious disease outbreaks. A mixed-methods analytical design was employed, combining machine learning based predictive modeling with retrospective epidemiological validation using multi-country datasets covering the past ten years. The results show that ensemble learning models, especially random forest and gradient boosting algorithms, significantly outperform conventional statistical models in predicting outbreak onset and trajectory, achieving higher accuracy, sensitivity, and early-warning lead time. The findings demonstrate that Big Data driven predictive models can enhance public health preparedness by providing earlier and more reliable outbreak alerts. The study concludes that integrating Big Data analytics into national and global epidemiological systems is essential for strengthening proactive disease prevention, although ethical governance and data privacy protections must be prioritized.

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