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Adam Mudinillah
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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 : Health,
Health Professions Medicine & Pharmacology Nursing Public Health Veterinary
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 : Keperawatan - Keperawatan (Lain-Lain)
Articles 94 Documents
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Incidence of Hypertension in Adolescents in the Working Areas of Paccerakkang Health Center and Sudiang Health Center in Makassar City Hasliani, Hasliani
Journal of World Future Medicine, Health and Nursing Vol. 2 No. 3 (2024)
Publisher : Yayasan Pendidikan Islam Daarut Thufulah

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/health.v2i3.1264

Abstract

Hypertension generally occurs in the elderly, but several studies have shown that hypertension can appear as early as adolescence and its prevalence has increased over the past few decades. However, many have not realized that this is the cause of the appearance of hypertension in adulthood and the elderly. This study aims to determine the prevalence of hypertension in adolescents at the Sudiang Raya Health Center, Makassar City. The method used was observation with a Cross Sectional approach. The study sample was 147 adolescents using Two Stage Cluster Sampling. Data collection using questionnaires, measurement of weight, height and blood pressure. Data were analyzed univariately using frequency distribution tables. The results showed that there were 73 male respondents (49.7%) and 74 female respondents (50.3%). Most (77.6%) respondents had a moderate level of knowledge. The results of blood pressure measurements showed that 9 people (6.1%) were categorized as stage 2 hypertension, 18 people (12.2%) were categorized as stage 1 hypertension, 22 people (15.0%) were categorized as pre-hypertension and 98 people (66.7%) had normal blood pressure. Closing: The results showed that one third of respondents already had hypertension.
Evaluation of the Implementation of Minimum Service Standards for Hypertension Program Handiny, Febry; Asyari, Dian Paramitha; Oktaviani, Silvy; Novera, Milya
Journal of World Future Medicine, Health and Nursing Vol. 3 No. 1 (2025)
Publisher : Yayasan Pendidikan Islam Daarut Thufulah

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/health.v3i1.1209

Abstract

The prevalence of hypertension in Indonesia in the 2018 National Riskesdas was 34.11%. Minimum Service Standards for hypertension: Every patient with hypertension receives health services according to standards. Achievement of Hypertension at Andalas Public Health Center for the last two years is 30.21% in 2021 and 14% in 2022. This study aims to determine the process of implementing the Minimum Service Standards for the Hypertension program at the Andalas Public Health Center. This study is a Descriptive qualitative research method by conducting semi-structured interviews with ten informants. The research was conducted at Andalas Public Health Center from March to August. The data collected were the results of interviews using an interview guide, document review, and observation. Data analysis used source triangulation and method triangulation. The results were that the officers involved and hypertensive patients in implementing Minimum Service Standards Hypertension were by the standards. Facilities and infrastructure are sufficient, but adding blood pressure monitors and Communication, Information, and Education media in leaflets is still necessary. Existing health workers already know the process of implementing hypertension following standards.  The implementation has been going well, but there are still obstacles in the form of difficulty monitoring hypertensive patients in the Andalas Public Health Center working area and a lack of public awareness of routine treatment every month.
The Future of Medical Technology: Recent Innovations in Artificial Intelligence and Robotics for More Precise and Efficient Treatment Farah, Rina; Nizam, Zain
Journal of World Future Medicine, Health and Nursing Vol. 3 No. 2 (2025)
Publisher : Yayasan Pendidikan Islam Daarut Thufulah

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/health.v3i2.1896

Abstract

The rapid advancement of artificial intelligence (AI) and robotics has transformed the landscape of medical technology, offering unprecedented precision, efficiency, and personalization in patient care. The integration of AI-driven diagnostics and robotic-assisted surgery has improved clinical decision-making, minimized human errors, and enhanced surgical outcomes. This study aims to explore recent innovations in AI and robotics in the medical field, assess their effectiveness in improving treatment precision, and identify challenges in their widespread adoption. A systematic review methodology was employed, analyzing recent peer-reviewed articles, case studies, and reports from medical institutions and technology developers. The findings indicate that AI-powered diagnostic tools significantly enhance early disease detection, while robotic surgery enables minimally invasive procedures with improved accuracy and reduced recovery times. However, challenges such as ethical concerns, high implementation costs, and regulatory hurdles remain key barriers to full-scale adoption. This study concludes that AI and robotics will play an increasingly vital role in modern medicine, revolutionizing healthcare delivery. Further research should focus on optimizing AI algorithms, addressing ethical considerations, and developing cost-effective solutions to ensure broader accessibility and acceptance in medical practice.
Global Prevention of Future Disease Threats: The Role of Technological Solutions in Epidemiology Zaman, Khalil; Khan, Jamil
Journal of World Future Medicine, Health and Nursing Vol. 3 No. 2 (2025)
Publisher : Yayasan Pendidikan Islam Daarut Thufulah

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/health.v3i2.1901

Abstract

The global landscape of infectious diseases continues to evolve, posing new challenges for public health systems worldwide. With the rise of emerging and re-emerging diseases, it becomes imperative to leverage technological solutions in epidemiology to prevent future health crises. This study investigates the role of advanced technologies such as artificial intelligence (AI), big data analytics, machine learning, and digital health tools in shaping effective disease prevention strategies. The objective is to evaluate the potential of these innovations in forecasting, monitoring, and managing public health threats. Using a systematic review methodology, data were collected from 100 peer-reviewed articles and reports on the application of technological tools in epidemiology. The findings reveal that technological advancements have significantly enhanced the accuracy of disease predictions, real-time monitoring, and rapid response capabilities. Furthermore, AI-driven surveillance systems and big data analytics have proven essential in identifying disease patterns and facilitating early interventions. The study concludes that the integration of technology into epidemiological practices is crucial for proactive global health management. Technological solutions, when effectively implemented, offer scalable and sustainable approaches to preventing future global disease threats.
Artificial intelligence innovations in genetic technology: DNA-based diagnostics for the future of medicine Htwe, Thandar; Myint, Aung; Muntasir, Muntasir
Journal of World Future Medicine, Health and Nursing Vol. 3 No. 2 (2025)
Publisher : Yayasan Pendidikan Islam Daarut Thufulah

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.  
Utilizing Robotics in Health Care: Increasing the Efficiency and Accuracy of Patient Therapy Karimi, Mehdi; Yazdani, Sahar
Journal of World Future Medicine, Health and Nursing Vol. 3 No. 2 (2025)
Publisher : Yayasan Pendidikan Islam Daarut Thufulah

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/health.v3i2.1909

Abstract

The healthcare industry has increasingly embraced technological innovations to improve patient care and streamline medical procedures. Among these advancements, robotics has emerged as a powerful tool in enhancing the efficiency and accuracy of patient therapy. Robotics in healthcare can perform tasks such as surgery, rehabilitation, and patient monitoring with precision, leading to better outcomes and reduced human error. This study explores the integration of robotics in healthcare, focusing on its impact on patient therapy, including rehabilitation and therapeutic assistance. Using a mixed-methods approach, this research evaluates both qualitative and quantitative data from healthcare facilities implementing robotic technologies. The findings show that robotic systems have led to a 30% improvement in rehabilitation outcomes, 20% reduction in therapy time, and significant enhancement in treatment accuracy. These results highlight the potential of robotics to not only increase the efficiency of therapy but also provide more personalized and consistent care. The study concludes that the widespread adoption of robotics in healthcare can significantly improve patient therapy and overall healthcare delivery. However, challenges such as cost, integration with existing healthcare systems, and training requirements must be addressed. Future research should focus
Technology-Based Care Model: Building a Sustainable Nursing System in Disadvantaged Areas Fatsena, Rizka Adela; Ahmed, Dina; Abdallah, Mona; Indrayani, Siska
Journal of World Future Medicine, Health and Nursing Vol. 3 No. 2 (2025)
Publisher : Yayasan Pendidikan Islam Daarut Thufulah

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.
Inclusive Approaches in Future Health Policy: Ethical Challenges of Using Artificial Intelligence in Medicine Al-Mutawa, Hassan; Al-Mazrouei, Fatima
Journal of World Future Medicine, Health and Nursing Vol. 3 No. 2 (2025)
Publisher : Yayasan Pendidikan Islam Daarut Thufulah

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/health.v3i1.1911

Abstract

The rapid integration of artificial intelligence in medicine has sparked significant advancements in patient care, diagnostics, and treatment planning. However, as artificial intelligence technologies become increasingly prevalent in healthcare, they raise complex ethical challenges that must be addressed to ensure their responsible use. These challenges include concerns about data privacy, algorithmic bias, accountability, and the potential for unequal access to artificial intelligence-based medical interventions. This study explores the ethical implications of using artificial intelligence in medicine and proposes inclusive approaches for future health policy. A qualitative research methodology was employed, including expert interviews and policy document analysis, to examine the ethical issues surrounding artificial intelligence integration in medical practice. The findings indicate that while artificial intelligence holds great promise for improving healthcare efficiency and accuracy, its implementation must be accompanied by robust regulatory frameworks that prioritize equity, inclusivity, and accountability. The study emphasizes the need for collaborative policy-making involving stakeholders from various sectors to ensure that artificial intelligence technologies are developed and deployed in ways that benefit all populations, particularly marginalized communities. The research concludes that inclusive approaches to artificial intelligence integration in healthcare policy can help mitigate ethical risks and foster a healthcare system that is both innovative and ethically sound.
Adaptation to Social Change and Urbanization: Community-Based Health Strategies for Public Health Andarmoyo, Sulistyo; Davis, Olivia; Green, Jessica
Journal of World Future Medicine, Health and Nursing Vol. 3 No. 2 (2025)
Publisher : Yayasan Pendidikan Islam Daarut Thufulah

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/health.v3i2.1912

Abstract

Social change and rapid urbanization have profoundly impacted public health systems, presenting challenges such as rising health disparities, increased prevalence of non-communicable diseases, and the strain on healthcare infrastructure. In response to these challenges, community-based health strategies have gained traction as effective approaches to improving public health outcomes. This research explores the role of community-based health strategies in adapting to the demands of social change and urbanization, with a focus on their impact on health equity, accessibility, and health system resilience. A mixed-methods approach was employed, combining quantitative data from health surveys and qualitative interviews with community leaders and healthcare providers to assess the effectiveness of community-driven health initiatives. The findings indicate that community-based programs significantly improved health outcomes, especially in urban areas facing overcrowding and limited access to healthcare. These programs enhanced health literacy, preventive care, and collaborative efforts between communities and healthcare providers. The study concludes that community-driven health models offer a sustainable solution to public health challenges in rapidly urbanizing regions. The research highlights the importance of integrating these strategies into urban health policy to ensure a more resilient and equitable healthcare system.
Analysis of Risk Factors for Stunting in Toddlers in South Tapanuli Regency in 2024 Irianti, Evi; Melva, Melva
Journal of World Future Medicine, Health and Nursing Vol. 3 No. 2 (2025)
Publisher : Yayasan Pendidikan Islam Daarut Thufulah

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/health.v3i2.2050

Abstract

Stunting is a major public health issue with long-term effects on the quality of human resources. The prevalence of stunting in South Tapanuli Regency increased from 30.8% in 2021 to 39.8% in 2022. This study aims to identify risk factors contributing to stunting in toddlers. The study employs a cross-sectional design with a correlational approach. The sample consists of 350 toddlers selected through purposive sampling, with data collected via structured interviews. The main contributing factors to stunting include a history of low birth weight (p=0.009), the introduction of complementary feeding before six months of age (p=0.000), and incomplete immunization status, which increases the risk of stunting with an odds ratio (OR) of 2.510. Virtual care is associated with a stable or improved HRQOL and patient and family satisfaction in pediatric T1DM. Decision makers need to consider expanding virtual access to pediatric diabetes care that can improve equitable access to quality care across healthcare systems globally.

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