cover
Article Per Year (5 Year)
All
Home Page
OAI Link
Editorial Team
Contact
Reviewer
Google Scholar
Contact Name
Adam Mudinillah
Contact Email
adammudinillah@staialhikmahpariangan.ac.id
Phone
+6285379388533
Journal Mail Official
adammudinillah@staialhikmahpariangan.ac.id
Editorial Address
Jorong Kubang Kaciak Dusun Kubang Kaciak, Kelurahan Balai Tangah, Kecamatan Lintau Buo Utara, Kabupaten Tanah Datar, Provinsi Sumatera Barat, Kodepos 27293
Location
Kab. tanah datar,
Sumatera barat
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.
Arjuna Subject : -
Articles 143 Documents
 10   11   12   13   14 
Interdisciplinary Collaboration in Future Healthcare: Building Holistic Patient-Centered Models Agnomelsya Bangaran; Adam Idris; Siti Mariam
Journal of World Future Medicine, Health and Nursing Vol. 3 No. 6 (2025)
Publisher : Yayasan Adra Karima Hubbi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/health.v3i6.2931

Abstract

Healthcare systems are increasingly challenged by complex patient needs, chronic conditions, and fragmented service delivery. Interdisciplinary collaboration has been widely promoted as a strategy to support holistic and patient-centered care, yet its practical implementation in future healthcare systems remains uneven and context-dependent. This study aims to examine how interdisciplinary collaboration contributes to the development of holistic patient-centered models in future healthcare and to identify key factors influencing its effectiveness across different healthcare contexts. A qualitative descriptive approach was employed using a systematic review of secondary data and comparative case analysis. Data were collected from peer-reviewed literature, policy reports, and documented interdisciplinary care models across various regions. The data were analyzed through thematic synthesis and cross-case comparison. The findings indicate that interdisciplinary collaboration enhances care coordination, patient engagement, and holistic service delivery when supported by organizational commitment, shared leadership, and effective communication. Collaboration outcomes vary according to healthcare system maturity, policy alignment, and professional culture. Patient involvement emerges as a critical element in successful interdisciplinary models.
Blockchain for Medical Records: Ensuring Security, Privacy, and Interoperability in Global Health Ali Reza; Leila Mahdavi; Fatemeh Hashemi; Rustiyana Rustiyana
Journal of World Future Medicine, Health and Nursing Vol. 3 No. 4 (2025)
Publisher : Yayasan Adra Karima Hubbi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/health.v3i4.2932

Abstract

Medical records play a critical role in healthcare delivery, yet existing digital health systems face persistent challenges related to data security, patient privacy, and interoperability across institutions and national borders. Blockchain technology has been proposed as a potential solution to these challenges, particularly within the context of global health systems characterized by fragmentation and regulatory diversity. This study aims to examine how blockchain technology is applied to medical record management in global health, with a focus on its capacity to ensure security, protect privacy, and support interoperability across healthcare systems. The study adopts a qualitative descriptive approach using systematic literature review and comparative case analysis. Secondary data are collected from peer-reviewed publications, policy reports, and documented blockchain-based medical record implementations across multiple regions. Data are analyzed through thematic synthesis and cross-case comparison. The findings reveal that blockchain adoption in medical records is unevenly distributed across regions and is strongly influenced by digital infrastructure readiness and regulatory environments. The study concludes that blockchain functions as an adaptive socio-technical infrastructure rather than a universal solution for medical records.  
Ethical Challenges of AI in Medicine: Balancing Innovation, Privacy, and Equity Ahmet Demir; Baran Akbulut; Sulastry Pakpahan; Rustiyana Rustiyana
Journal of World Future Medicine, Health and Nursing Vol. 3 No. 6 (2025)
Publisher : Yayasan Adra Karima Hubbi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/health.v3i6.3013

Abstract

Rapid advancements in artificial intelligence (AI) have transformed medical practice, offering unprecedented capabilities in diagnosis, treatment planning, and predictive analytics. These innovations, however, introduce complex ethical challenges related to patient privacy, algorithmic transparency, equity, and accountability. Growing reliance on AI in clinical environments has heightened concerns about data governance, bias in machine learning models, and uneven access to AI-enabled healthcare tools. This study aims to analyze the ethical tensions arising from AI integration in medicine and to identify strategies that balance technological innovation with the protection of fundamental ethical principles. A qualitative meta-synthesis approach was employed, drawing on peer-reviewed literature, policy documents, and real-world case analyses to examine patterns of ethical risk and mitigation frameworks. The findings reveal that privacy vulnerabilities, inequitable algorithmic performance, and opacity in decision-making processes represent the most frequent ethical concerns. The results also show that robust governance structures, transparent AI design, and inclusive dataset practices significantly reduce ethical risks. The study concludes that responsible AI in medicine requires a multidimensional ethical framework that integrates patient rights, algorithmic fairness, and institutional accountability.  
Nutrition Education for Adolescent Girls as a Strategy for Intergenerational Stunting Prevention: A Quantitative Study at SMAN 03 Rumbai Siska Indrayani; Rina Oktaviana
Journal of World Future Medicine, Health and Nursing Vol. 3 No. 6 (2025)
Publisher : Yayasan Adra Karima Hubbi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/health.v3i6.3043

Abstract

Stunting is a chronic nutritional problem with long-term consequences for human capital and is influenced by nutritional conditions across the life course, including adolescence as a critical preconception period. Adolescent girls play a strategic role in intergenerational stunting prevention; however, nutrition literacy in this group remains relatively low. This study aimed to analyze the effect of nutrition education on improving nutrition knowledge among adolescent girls as a preventive strategy for intergenerational stunting among senior high school students.A quasi-experimental study with a one-group pretest–posttest design was conducted. The study participants consisted of 100 female students in grades X and XI from a senior high school in Rumbai, Indonesia, selected using a total sampling technique. Data were collected using a structured nutrition knowledge questionnaire that had been tested for validity and reliability. Data analysis included univariate and bivariate analyses. Normality was assessed using the Shapiro Wilk test, and differences in nutrition knowledge scores before and after the intervention were analyzed using a paired t-test with a significance level of p < 0.05.The mean nutrition knowledge score increased significantly from 65.42 ± 6.12 before the intervention to 81.30 ± 6.05 after the intervention (p < 0.001). A mean difference of 15.88 points indicates a substantial improvement in nutrition knowledge following the nutrition education program. In conclusion, nutrition education is effective in improving nutrition knowledge among adolescent girls and has the potential to serve as an upstream preventive strategy for intergenerational stunting.
Sustainable Healthcare Models in Developing Countries: Bridging Gaps in Universal Health Coverage Meyka Aris Yusron; Faisal Razak; Zain Nizam
Journal of World Future Medicine, Health and Nursing Vol. 3 No. 6 (2025)
Publisher : Yayasan Adra Karima Hubbi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/health.v3i6.3067

Abstract

Coverage in developing countries, where persistent inequalities, financial constraints, and institutional fragmentation continue to limit access to essential health services. This study aims to examine how sustainable healthcare models contribute to bridging gaps in Universal Health Coverage by analyzing the interaction between financing mechanisms, governance structures, and service delivery systems. A qualitative comparative research design was employed, integrating secondary statistical data analysis, policy document review, and a case study approach to explore healthcare sustainability across selected developing countries. The findings reveal that healthcare systems characterized by stable public financing, reduced reliance on out-of-pocket payments, strong governance coordination, and a primary healthcare orientation demonstrate higher resilience and more equitable coverage outcomes. The results also indicate that fragmented policies, weak institutional capacity, and curative-centered investment patterns undermine long-term Universal Health Coverage efforts. The study concludes that embedding sustainability principles into healthcare models is critical for ensuring that coverage expansion is both inclusive and enduring. The novelty of this research lies in its integrative framework that conceptualizes sustainability as a systemic and relational process rather than a standalone policy objective, offering strategic insights for policymakers seeking to advance resilient and equitable Universal Health Coverage in developing countries.  
CARDIOVASCULAR HEALTH SCREENING MANAGEMENT IN PEKANBARU CITY: ANALYSIS OF STRUCTURE, PROCESS, AND BARRIERS Ardenny Ardenny; Idayanti Idayanti; Ibnu Rusdi
Journal of World Future Medicine, Health and Nursing Vol. 4 No. 1 (2026)
Publisher : Yayasan Adra Karima Hubbi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/health.v4i1.3281

Abstract

Cardiovascular disease remains a leading cause of global morbidity and mortality. Cardiovascular health screening programs are essential public health strategies for early identification of heart disease risk. This study aimed to analyze the management of cardiovascular health screening in Pekanbaru City using a mixed-methods approach. Quantitative data were collected from 384 respondents aged 40 years and above, while qualitative data were obtained through in-depth interviews with 21 key informants and focus group discussions with 20 community participants. The results showed extremely low screening coverage (1.82% of the target population of 366,154). Analysis using the Donabedian model identified significant deficits in the structure dimension (only 26.7% of trained health workers, 66.7% of primary health centers lacked cholesterol testing equipment, and minimal budget allocation of Rp 15-25 million/year) and process dimension (absence of standardized SOPs, ineffective risk communication). Bivariate analysis revealed that good knowledge (OR=6.47; p<0.001), close proximity to facilities (OR=2.96; p<0.001), positive attitudes (OR=2.61; p<0.001), and family support (OR=2.27; p<0.001) were significantly associated with screening participation. These findings indicate the need for systematic improvements including capacity building of health workers, provision of adequate equipment, standardization of procedures, and strengthening of risk communication systems to optimize cardiovascular health screening programs in Pekanbaru City.
AI-ASSISTED DIAGNOSTICS IN NURSING PRACTICE: IMPACT ON PATIENT ASSESSMENT AND CARE Dhiana Setyorini; Rini Ambarwati; Minarti Minarti; Nur Hasanah
Journal of World Future Medicine, Health and Nursing Vol. 4 No. 1 (2026)
Publisher : Yayasan Adra Karima Hubbi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/health.v4i1.3367

Abstract

The rapid integration of artificial intelligence (AI) into healthcare has transformed clinical decision-making processes, including patient assessment and diagnostic support. In nursing practice, accurate and timely assessment is critical to patient safety and quality of care, yet increasing workload and clinical complexity often challenge nurses’ diagnostic performance. This study aims to examine the impact of AI-assisted diagnostic tools on nursing assessment accuracy, efficiency, and overall patient care outcomes. The research employs a mixed-methods design combining quantitative analysis of assessment performance indicators with qualitative exploration of nurses’ experiences in clinical settings where AI diagnostics are implemented. Data were collected from registered nurses across selected hospital units using standardized assessment records, questionnaires, and semi-structured interviews. The results indicate that AI-assisted diagnostics significantly improve assessment accuracy, reduce time to clinical decision-making, enhance early detection of patient deterioration, and increase nurses’ confidence in clinical judgment. Qualitative findings reveal that nurses perceive AI tools as supportive systems that augment, rather than replace, professional expertise when appropriately integrated into workflows. The study concludes that AI-assisted diagnostics represent a valuable advancement in nursing practice by strengthening patient assessment and promoting safer, more consistent care.  
THE FUTURE OF NURSING EDUCATION: THE INTEGRATION OF SIMULATION-BASED LEARNING AND TECHNOLOGY Catur Budi Susilo; Amin Zaki; Rina Farah
Journal of World Future Medicine, Health and Nursing Vol. 4 No. 1 (2026)
Publisher : Yayasan Adra Karima Hubbi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/health.v4i1.3486

Abstract

Rapid technological advancement and increasing complexity in healthcare systems require nursing education to evolve beyond traditional instructional approaches. Simulation-based learning supported by digital technologies has emerged as an innovative educational strategy that allows nursing students to develop clinical competence, critical thinking, and decision-making skills in safe and controlled environments. This study aims to examine the integration of simulation-based learning and technological tools in nursing education and evaluate their influence on students’ learning engagement, clinical confidence, and professional competence development. The research employs a mixed-method approach combining quantitative survey analysis with qualitative observations and interviews. Data were collected from nursing students and instructors participating in simulation-based learning sessions using high-fidelity mannequins and virtual simulation platforms. Statistical analysis was conducted to examine learning outcomes, while thematic analysis was used to interpret participants’ experiences. Findings indicate that simulation-based learning significantly improves students’ clinical confidence, engagement, and critical thinking abilities. High-fidelity simulations enhance clinical skill acquisition, while virtual simulations increase accessibility and flexibility in learning. Integration of simulation-based learning and technology represents a transformative strategy for modernizing nursing education and preparing future nurses for technologically advanced healthcare environments.  
EXPLORING THE IMPACT OF TELEMEDICINE ON ACCESS TO HEALTHCARE IN RURAL COMMUNITIES Ton Kiat; Siri Lek; Ravi Dara
Journal of World Future Medicine, Health and Nursing Vol. 4 No. 1 (2026)
Publisher : Yayasan Adra Karima Hubbi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/health.v4i1.3534

Abstract

The rapid advancement of telemedicine has revolutionized healthcare delivery, particularly in rural areas where access to healthcare services is often limited. This study explores the impact of telemedicine on improving healthcare access in rural communities, aiming to evaluate how virtual healthcare platforms can overcome geographical barriers and enhance patient outcomes. The research employs a mixed-methods approach, combining qualitative interviews with healthcare professionals and patients in rural settings, along with quantitative surveys to assess healthcare accessibility, satisfaction, and perceived effectiveness. The findings reveal that telemedicine significantly improves access to healthcare by reducing travel time, minimizing wait times for appointments, and offering continuous care, which is crucial for managing chronic conditions. Furthermore, patients expressed high satisfaction with the convenience and affordability of virtual consultations. However, challenges such as limited internet connectivity, technological literacy, and concerns about the quality of care were noted. In conclusion, telemedicine holds great potential in expanding healthcare access in rural communities, but it requires tailored strategies to address infrastructure gaps and ensure equitable access to all individuals. Future research should focus on the long-term outcomes and scalability of telemedicine initiatives in diverse rural settings.
ARTIFICIAL INTELLIGENCE IN EARLY DISEASE DETECTION: REVOLUTIONIZING DIAGNOSTIC PRACTICES IN MEDICINE Safiullah Aziz; Shazia Akhtar; Chen Mei
Journal of World Future Medicine, Health and Nursing Vol. 4 No. 1 (2026)
Publisher : Yayasan Adra Karima Hubbi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/health.v4i1.3535

Abstract

The integration of Artificial Intelligence (AI) in medicine has the potential to revolutionize early disease detection, improving diagnostic practices and patient outcomes. Early detection of diseases such as cancer, cardiovascular conditions, and neurological disorders significantly enhances treatment efficacy and survival rates. However, traditional diagnostic methods often suffer from limitations such as diagnostic errors, delayed results, and subjectivity. AI technologies, particularly machine learning (ML) and deep learning (DL), have demonstrated the ability to analyze large datasets, recognize patterns, and predict outcomes with greater accuracy and speed than conventional methods. This study aims to explore the impact of AI on early disease detection, focusing on its applications in diagnostic medicine. The research employs a systematic review of AI-based diagnostic tools and their clinical performance across various diseases. Data from peer-reviewed journals and clinical trials are analyzed to assess the accuracy, efficiency, and clinical implementation of AI technologies. The findings reveal that AI has the potential to significantly improve diagnostic accuracy, reduce diagnostic errors, and expedite disease detection, particularly in resource-limited settings. However, challenges remain regarding data privacy, algorithm transparency, and integration into clinical practice. In conclusion, AI stands poised to transform early disease detection, but careful consideration of ethical and technical challenges is essential for its widespread adoption.

Page 12 of 15 | Total Record : 143

 10   11   12   13   14 

Filter by Year

2023 2026


Reset
Filter By Issues
All Issue Vol. 4 No. 4 (2026) Vol. 4 No. 3 (2026) Vol. 4 No. 2 (2026) Vol. 4 No. 1 (2026) Vol. 3 No. 6 (2025) Vol. 3 No. 5 (2025) Vol. 3 No. 4 (2025) Vol. 3 No. 3 (2025) Vol. 3 No. 2 (2025) Vol. 3 No. 1 (2025) Vol. 2 No. 3 (2024) Vol. 2 No. 2 (2024) Vol. 2 No. 1 (2024) Vol. 1 No. 3 (2023) Vol. 1 No. 2 (2023) Vol. 1 No. 1 (2023) More Issue