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Adam Mudinillah
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INDONESIA
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.
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Articles 7 Documents
 1 
Search results for , issue "vol. 3 no. 1 (2025)" : 7 Documents clear
Evaluation of the Implementation of Minimum Service Standards for Hypertension Program Febry Handiny; Dian Paramitha Asyari; Silvy Oktaviani; Milya Novera
Journal of World Future Medicine, Health and Nursing Vol. 3 No. 1 (2025)
Publisher : Yayasan Adra Karima Hubbi

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 Relationship Between Knowledge About Kangaroo Mother Care (Kmc) Among Mothers and Increased Weight of Low Birth Weight (Lbw) Babies in the Neonate Intensive Care Room of the Mayapada Hospital Jakarta Selatan Nuke Tri Indriani; Arozamati W Lase; Rome Tao Toba Muara Ria; Sicily Prima Yanuaria Buka; Herlina Meilina
Journal of World Future Medicine, Health and Nursing Vol. 3 No. 1 (2025)
Publisher : Yayasan Adra Karima Hubbi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/health.v3i1.1862

Abstract

One of the main causes of infant mortality is low birth weight babies. Low birth weight babies are high risk babies and are susceptible to various problems such as the risk of respiratory infections, low blood sugar levels (hypoglycemia), eating disorders, too many red blood cells and the risk of experiencing hypothermia. In general, babies with low birth weight must be treated with an incubator or using the KMC method so that their body temperature is maintained. This study aims to determine the relationship between knowledge of the Kangaroo Mother Care (KMC) method among mothers and the increase in Low Birth Weight (LBW) Babies in the NICU Room at Mayapada Hospital, South Jakarta. This research is quantitative using a correlative analytical descriptive design with a cross sectional approach. Shows that there is a significant relationship between knowledge about the Kangaroo Mother Care (KMC) Method in mothers and the increase in Low Birth Weight (LBW) in the NICU room at Mayapada Hospital, South Jakarta.
Telemedicine in the Digital Era: Changing the Face of Health Services with Virtual Technology Sulasmi Anggo; Wahyudin Rahman; Som Chai; Chai Pao
Journal of World Future Medicine, Health and Nursing Vol. 3 No. 1 (2025)
Publisher : Yayasan Adra Karima Hubbi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/health.v3i1.1897

Abstract

The rapid advancement of digital technology has transformed healthcare delivery, with telemedicine emerging as a vital tool for improving accessibility, efficiency, and patient-centered care. The COVID-19 pandemic accelerated the adoption of telemedicine, highlighting its role in bridging geographical barriers and optimizing medical consultations through virtual platforms. Despite its benefits, challenges such as regulatory issues, technological disparities, and concerns about patient data security remain significant obstacles to its widespread implementation. This study aims to examine the impact of telemedicine on modern healthcare services, evaluate its effectiveness in improving patient outcomes, and identify barriers to adoption. A systematic review approach was used, analyzing peer-reviewed studies, clinical reports, and policy papers published between 2018 and 2024. The findings indicate that telemedicine enhances healthcare accessibility, reduces consultation wait times, and lowers healthcare costs, particularly in remote and underserved areas. However, limitations such as uneven internet infrastructure, resistance from healthcare providers, and variations in legal frameworks hinder its optimal utilization. This study concludes that telemedicine represents the future of digital healthcare, requiring further technological advancements, regulatory standardization, and healthcare professional training to maximize its potential. Future research should explore AI-integrated telemedicine models and their role in improving diagnosis and treatment personalization.
Nano-Medicine Integration: Impact of Recent Breakthroughs in Genetic-Based Diagnosis and Therapyano-Medicine Integration: Impact of Recent Breakthroughs in Genetic-Based Diagnosis and Therapy Livia Alves; Felipe Souza; Muntasir Muntasir; Netty Maria Naibaho
Journal of World Future Medicine, Health and Nursing Vol. 3 No. 1 (2025)
Publisher : Yayasan Adra Karima Hubbi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/health.v3i1.1898

Abstract

The integration of nanotechnology into medicine has revolutionized genetic-based diagnostics and therapeutic interventions, offering unprecedented precision in disease detection and treatment. Advances in nano-medicine have enabled early-stage disease identification, targeted drug delivery, and personalized medical treatments, particularly in oncology, neurology, and rare genetic disorders. Despite these advancements, challenges such as biocompatibility, scalability, and regulatory approval remain significant barriers to widespread clinical implementation. This study aims to analyze the impact of nano-medicine on genetic-based diagnosis and therapy, assess its effectiveness in enhancing patient outcomes, and identify the obstacles limiting its adoption. A systematic review methodology was employed, analyzing peer-reviewed articles, clinical trial reports, and experimental studies from 2018 to 2024. The findings indicate that nano-medicine significantly improves genetic disease detection accuracy, enhances drug bioavailability, and minimizes adverse side effects through precision-targeted therapies. However, issues such as high development costs, ethical concerns, and long regulatory processes impede rapid integration into mainstream healthcare. This study concludes that nano-medicine represents a paradigm shift in genetic-based medical interventions, requiring further research in bioengineering optimization, regulatory framework standardization, and cost-effective production. Future studies should explore AI-driven nanotechnology applications and their role in improving real-time genetic diagnostics and personalized therapies.
Get to Know Artificial Intelligence in Epidemiology: Predicting and Controlling Communicable and Non Communicable Diseases Sofia Lim; Jaden Tan; Anggra Trisna Ajani
Journal of World Future Medicine, Health and Nursing Vol. 3 No. 1 (2025)
Publisher : Yayasan Adra Karima Hubbi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/health.v3i1.1902

Abstract

The increasing burden of both communicable and non-communicable diseases (NCDs) presents significant challenges for public health worldwide. The application of artificial intelligence (AI) in epidemiology has emerged as a promising tool for predicting, monitoring, and controlling the spread of these diseases. This study aims to explore the role of AI in enhancing epidemiological practices and improving public health outcomes. The research employs a systematic review methodology, analyzing 60 peer-reviewed articles on the integration of AI technologies in disease prediction and control. The findings indicate that AI, particularly machine learning (ML) algorithms, has demonstrated remarkable success in predicting disease outbreaks, identifying high-risk populations, and optimizing resource allocation. AI-driven tools have been effectively utilized in both communicable diseases, such as influenza and COVID-19, and NCDs, including diabetes and cardiovascular diseases. The study concludes that AI holds substantial potential for transforming epidemiological practices, offering more accurate forecasts and efficient interventions. However, challenges such as data privacy concerns and resource limitations in low-income settings need to be addressed. The research highlights the need for continued investment in AI technologies to strengthen global disease prevention and control efforts.
Tele-Nursing: The Future of Remote Care for Healthcare Efficiency and Accessibility Asbath Asbath; Kaito Tanaka; Yui Nakamura
Journal of World Future Medicine, Health and Nursing Vol. 3 No. 1 (2025)
Publisher : Yayasan Adra Karima Hubbi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/health.v3i1.1903

Abstract

The growing demand for healthcare services, coupled with the global shortage of healthcare professionals, has led to a need for innovative solutions to improve care efficiency and accessibility. Tele-nursing, a remote healthcare delivery model, has emerged as a promising solution to address these challenges. This study aims to explore the potential of tele-nursing in enhancing healthcare delivery, focusing on its role in improving efficiency and expanding access to care. The research employs a mixed-methods approach, combining qualitative interviews with healthcare professionals and quantitative analysis of patient outcomes from tele-nursing programs. The findings suggest that tele-nursing has the potential to reduce hospital readmissions, increase patient satisfaction, and improve chronic disease management. Furthermore, tele-nursing has proven effective in providing care to underserved populations, particularly in rural and remote areas, where access to healthcare services is limited. The study concludes that tele-nursing can play a pivotal role in shaping the future of healthcare by offering a more efficient and accessible alternative to traditional in-person care. However, challenges such as technology access, training, and regulatory issues must be addressed to ensure the successful integration of tele-nursing into healthcare systems.
AI-Powered Decision Support Systems in Clinical Nursing Practice: Benefits and Ethical Considerations Ali Khan; Ahmed Shah; Fatima Malik; Rustiyana Rustiyana
Journal of World Future Medicine, Health and Nursing Vol. 3 No. 1 (2025)
Publisher : Yayasan Adra Karima Hubbi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/health.v3i1.2804

Abstract

Rapid advancements in artificial intelligence (AI) have introduced new possibilities for enhancing clinical nursing practice through AI-powered decision support systems (DSS). Increasing patient complexity, rising workloads, and the demand for timely, evidence-based care underscore the need for technological tools that can assist nurses in clinical judgment, risk assessment, and care coordination. This study aims to examine the benefits and ethical considerations associated with the integration of AI-driven DSS in nursing practice, focusing on their impact on clinical efficiency, patient safety, and professional autonomy. A mixed-methods approach was employed, combining a systematic literature review with qualitative thematic analysis of documented nursing experiences across diverse healthcare settings. The findings reveal that AI-powered DSS improve accuracy in clinical decision-making, support early detection of patient deterioration, and reduce cognitive workload for nurses. The results also identify significant ethical challenges, including data privacy concerns, algorithmic bias, reduced human oversight, and potential shifts in nurse patient relational dynamics. The study concludes that while AI-driven DSS offer substantial benefits for clinical nursing practice, their implementation must be guided by robust ethical frameworks, transparent governance, and continuous professional training to ensure responsible and equitable integration.  

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