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All Journal International Journal of Advances in Applied Sciences Journal of Public Health Sciences
Bima Ananta Putra
Universitas Muhammadiyah Yogyakarta
Dentistry Earth & Planetary Sciences Environmental Science Health Professions Materials Science & Nanotechnology Mathematics Medicine & Pharmacology Nursing Physics Public Health

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Mapping artificial intelligence applications in electronic medical records research Bima Ananta Putra; Merita Arini
International Journal of Advances in Applied Sciences Vol 15, No 2: June 2026
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijaas.v15.i2.pp646-655

Abstract

The integration of electronic medical records (EMR) and artificial intelligence (AI) in healthcare improves data accessibility, security, diagnostic accuracy, personalized care, and overall system performance. Despite increasing interest, a comprehensive understanding of the field’s development, key contributions, and dominant research themes remains limited. This study presents a bibliometric analysis of 681 articles selected from 1893 initial records retrieved from the Scopus database (2015–2025) using the keywords “electronic medical record” AND “artificial intelligence.” Data were analyzed using Microsoft Excel for trend analysis and VOSviewer for keyword co-occurrence and thematic clustering. Results show steady publication growth, mainly from developed countries and health informatics institutions. Four main research themes emerged: i) AI adoption in healthcare systems, ii) patient characteristics and clinical assessment, iii) predictive models and machine learning (ML) algorithms, and iv) deep learning (DL) and diagnostic accuracy. Nevertheless, research gaps persist in areas such as patient safety, data privacy, ethical issues, primary care implementation, healthcare workforce roles, and specific algorithmic approaches. Trust in AI systems also requires deeper investigation.
Multimodal Education and Simulation Training for Emergency Response Knowledge among ‘Aisyiyah Cadres Merita Arini; Ekorini Listiowati; Al Afik; Harumi Iring Primastuti; Suratini; Nina Dwi Lestari; Zubaida Rohmawati; Bima Ananta Putra; Habib Laksmana Prima; Fitri Andriyani; Miura Ayudini Kuswara; Zahra Nadira; Khofidhotur Rofiqoh; Chintya Puspa Ayu Tirta; Agus Suharto
Journal of Public Health Sciences Vol. 5 No. 03 (2026): In Press - Journal of Public Health Sciences
Publisher : The Indonesian Institute of Science and Technology Research

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56741/IISTR.jphs.002283

Abstract

Timely and appropriate community response to medical and environmental emergencies remains a critical public health concern, particularly in settings with limited access to immediate professional care. Gaps in community knowledge of first aid and basic emergency response continue to constrain early action at the grassroots level. As a community-based organization, ‘Aisyiyah plays a strategic role in strengthening emergency response capacity through its cadres. This study examined changes in emergency response knowledge following community-based education and simulation training among ‘Aisyiyah cadres. A quasi-experimental single-group pre–post design without a control group was conducted among 34 cadres who participated in structured educational sessions, hands-on simulations, and role-play activities focusing on burn management and Basic Life Support (BLS). Knowledge was assessed using a validated true–false questionnaire and analysed using the Wilcoxon Signed-Rank test with effect size estimation. The results showed significant improvements across all domains. The median overall knowledge score increased from 80 (IQR=13) to 90 (IQR=0) (p<0.001) with a large effect size (r=0.56). Burn management knowledge reached the maximum score for all participants after the intervention (median=50; IQR=0), indicating a strong standardisation effect. BLS knowledge also improved significantly (p=0.003) with a moderate effect size (r=0.36), although variability in improvement was observed. These findings highlight the potential of multimodal, community-based training as an entry point for strengthening emergency response knowledge. Achieving optimal and sustained outcomes requires training continuity, periodic reinforcement, and integration with broader community health and disaster management systems through cross-sectoral collaboration.
Co-Authors Agus Suharto Al Afik Chintya Puspa Ayu Tirta Ekorini Listiowati, Ekorini Fitri Andriyani Habib Laksmana Prima Harumi Iring Primastuti Khofidhotur Rofiqoh Merita Arini Miura Ayudini Kuswara Nina Dwi Lestari Suratini Zahra Nadira Zubaida Rohmawati