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
 11   12   13   14   15 
PUBLIC POLICY ANALYSIS OF DECENTRALIZED NATIONAL ELECTRONIC HEALTH RECORDS USING BLOCKCHAIN TECHNOLOGY Mulyaningsih Mulyaningsih; Nurul Huda; Nina Anis
Journal of World Future Medicine, Health and Nursing Vol. 4 No. 4 (2026)
Publisher : Yayasan Adra Karima Hubbi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/health.v4i4.4068

Abstract

National electronic health record (EHR) systems face persistent challenges related to interoperability, data security, and fragmented governance structures, particularly within centralized architectures that limit real-time data exchange across healthcare institutions. This study aims to analyze public policy implications of implementing decentralized national EHR systems using blockchain technology, with emphasis on governance transformation, regulatory alignment, and system performance. A qualitative-dominant mixed-methods approach is employed through comparative policy analysis, secondary data evaluation, and stakeholder interpretation. Results indicate that blockchain-based EHR systems significantly improve interoperability (88% vs 62%), reduce data breach incidence (3 vs 18 cases per million records), and enhance patient data accessibility (score 91 vs 65). Inferential findings confirm statistically significant improvements in system efficiency and governance performance. The study concludes that decentralized blockchain-enabled EHR systems offer substantial advantages over centralized models, not only in technical performance but also in reinforcing transparency, trust, and data sovereignty within national health governance frameworks, while requiring adaptive regulatory reforms for sustainable implementation.
EFFECTIVENESS OF WOOLWICH MASSAGE ON BREAST MILK PRODUCTION BASED ON MATERNAL AND INFANT INDICATORS AMONG POSTPARTUM MOTHERS: A QUASI-EXPERIMENTAL STUDY Pariqa Annisa; Rina Oktaviana; Sri Putriani Sinaga
Journal of World Future Medicine, Health and Nursing Vol. 4 No. 4 (2026)
Publisher : Yayasan Adra Karima Hubbi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/health.v4i4.4089

Abstract

Breast milk production is one of the major determinants of successful exclusive breastfeeding during the early postpartum period. Insufficient milk production often leads to early breastfeeding discontinuation and the introduction of infant formula. This study aimed to determine the effectiveness of Woolwich Massage on breast milk production based on both maternal and infant indicators among postpartum mothers. A quasi-experimental study with a pretest–posttest control group design was conducted at BPM Sasyuni, Kampar Regency, Indonesia, from January to March 2026. Thirty postpartum mothers were recruited using consecutive sampling and equally assigned to an intervention group (n = 15) and a control group (n = 15). Breast milk production was assessed using maternal indicators (breast fullness, breast softening, spontaneous milk leakage, let-down reflex, and absence of breast engorgement) and infant indicators (urination frequency, bowel movement frequency, infant satisfaction, sleep duration, and weight gain). The paired t-test revealed a significant increase in breast milk production scores in the intervention group (mean difference = 5.13 ± 0.99; p < 0.001), while the independent t-test demonstrated significantly greater improvement than the control group (p < 0.001). These findings suggest that Woolwich Massage is an effective, safe, and low-cost non-pharmacological intervention that can be integrated into routine postpartum midwifery care to support successful exclusive breastfeeding.    
IMPLEMENTING DIGITAL TWINS FOR CANCER THERAPY SIMULATION: GENETIC-BASED MEDICAL PERSONALIZATION Siri Lek; Lucas Lima; Pedro Silva; Dito Anurogo
Journal of World Future Medicine, Health and Nursing Vol. 4 No. 4 (2026)
Publisher : Yayasan Adra Karima Hubbi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/health.v4i4.4202

Abstract

because substantial genetic heterogeneity, dynamic tumor evolution, and variable treatment responses limit the effectiveness of standardized clinical protocols. This study aimed to evaluate the implementation of Digital Twins for cancer therapy simulation and to examine their contribution to genetic-based medical personalization and clinical decision support. A mixed-methods sequential explanatory design was employed involving 480 patients treated at tertiary oncology centers. Quantitative analyses included descriptive statistics, structural equation modeling, survival analysis, mediation and moderation analyses, whereas qualitative evidence was obtained through semi-structured interviews, clinical observations, multidisciplinary case reviews, and document analysis. Findings demonstrated that Digital Twin-assisted treatment planning significantly improved simulation accuracy, treatment response prediction, therapeutic precision, physician decision confidence, and multidisciplinary coordination while reducing anticipated adverse treatment events. Results indicate that Digital Twin technology provides a comprehensive precision oncology framework by integrating computational intelligence, genomic medicine, and real-time clinical information to optimize individualized cancer therapy, improve evidence-based decision-making, and enhance long-term patient outcomes while supporting the broader implementation of personalized medicine.

Page 15 of 15 | Total Record : 143

 11   12   13   14   15 

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