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Medicor : Journal of Health Informatics and Health Policy
ISSN : -     EISSN : 30309166     DOI : https://doi.org/10.61978/medicor
Core Subject : Health,
Medicor : Journal of Health Informatics and Health Policy with ISSN Number 3030-9166 (Online) published by Indonesian Scientific Publication, published original scholarly papers across the whole spectrum of Health Informatics and Health Policy Research. The journal attempts to assist in the understanding of the present and potential ability Health Informatics and Health Policy Research
Articles 49 Documents
Bridging the Digital Divide in Healthcare: Insights on Literacy, Empowerment, and Portal Adoption Alifah, Rafidha Nur
Medicor : Journal of Health Informatics and Health Policy Vol. 2 No. 3 (2024): July 2024
Publisher : Indonesian Scientific Publication

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61978/medicor.v2i3.1059

Abstract

The adoption of digital health portals represents a major shift toward patient-centered care. These portals empower patients by improving access to health information and facilitating communication with providers. This review synthesizes evidence on how portals influence empowerment, with emphasis on digital literacy and health outcomes. Findings show that patients with strong digital skills actively use portals, achieve better chronic disease management, and report higher satisfaction. Quantitative evidence includes a 0.5% reduction in HbA1c and improved blood pressure regulation among users. However, vulnerable populations face persistent barriers such as limited literacy, low socioeconomic status, and inadequate infrastructure. Systemic obstacles like interoperability issues and provider workload also limit portal effectiveness. Policy strategies should focus on digital literacy education, universal internet access, and strong privacy protections to ensure equitable benefits. Future research must adopt longitudinal and inclusive approaches to strengthen evidence and guide equitable implementation
Unlocking the Potential of Blockchain for Health Data Security: A Narrative Review Mayasari, Dina
Medicor : Journal of Health Informatics and Health Policy Vol. 2 No. 3 (2024): July 2024
Publisher : Indonesian Scientific Publication

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61978/medicor.v2i3.1060

Abstract

The rapid digitization of healthcare has intensified concerns about data security, patient privacy, and system interoperability. This narrative review critically examines the potential and challenges of blockchain technology in addressing these issues. A systematic search was conducted in Scopus, PubMed, IEEE Xplore, and Google Scholar, focusing on studies published between 2019 and 2025 that explored blockchain applications in healthcare data security. The evidence indicates that blockchain provides tamper-proof storage of electronic health records, strengthens patient control through permissioned access, and enables transparent audit trails. Compared to conventional technologies, blockchain demonstrates stronger resilience against cyberattacks and enhances interoperability across fragmented systems. Integration with Artificial Intelligence and the Internet of Things further improves real-time analytics and secure device communication. However, barriers such as scalability constraints, high costs, regulatory uncertainty, and limited institutional expertise hinder its widespread adoption. These challenges are particularly acute in low- and middle-income countries with limited infrastructure. The findings highlight the need for supportive policies, sustainable funding, and workforce training to enable equitable implementation. This review contributes by synthesizing current evidence, clarifying systemic barriers, and outlining strategies for responsible blockchain integration in healthcare systems.
Health Informatics and Mental Health Services: Bridging Gaps in Access, Quality, and Equity Widyasih, Hesty; Firmansyah; Ashari, Muhammad Rizki; Syam, Sadli
Medicor : Journal of Health Informatics and Health Policy Vol. 2 No. 4 (2024): October 2024
Publisher : Indonesian Scientific Publication

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61978/medicor.v2i4.1061

Abstract

Health informatics has emerged as a pivotal tool in transforming mental health services, offering new possibilities for diagnostic precision, treatment planning, and patient engagement. This narrative review aimed to examine the role of health informatics in improving mental health outcomes, with a focus on Clinical Decision Support Systems (CDSS), mobile health applications, artificial intelligence (AI), and inclusive data practices. A systematic literature search was conducted across databases including Scopus, PubMed, Web of Science, and Google Scholar, using targeted keywords related to digital health and psychiatry. Studies were screened based on defined inclusion and exclusion criteria to ensure methodological rigor and relevance. The findings reveal that CDSS improves diagnostic accuracy and comorbidity detection, though disparities exist in adoption between developed and developing countries. Mobile health applications demonstrate effectiveness in suicide prevention and trauma management, particularly among youth, but adoption is uneven across demographic groups. AI and big data contribute to early detection and personalized care, yet raise significant concerns about bias, privacy, and transparency. Inclusive data practices, especially in collecting sexual orientation and gender identity information, are essential for reducing disparities and promoting equitable care. Discussion highlights the need for supportive policy frameworks, adequate funding, digital infrastructure, and clinician training, alongside participatory approaches that ensure cultural sensitivity. This review concludes that health informatics holds substantial promise for improving accessibility, quality, and equity in mental health services. Yet, overcoming systemic, infrastructural, and ethical barriers remains essential to fully addressing the global mental health burden.
Balancing Innovation and Ethics: A Narrative Review of Artificial Intelligence in Healthcare Meinisasti, Resva
Medicor : Journal of Health Informatics and Health Policy Vol. 2 No. 4 (2024): October 2024
Publisher : Indonesian Scientific Publication

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61978/medicor.v2i4.1079

Abstract

Artificial intelligence (AI) is increasingly applied in healthcare, improving diagnostic accuracy, personalized treatment, and data management. However, its adoption raises ethical challenges related to patient privacy, algorithmic bias, clinical autonomy, and governance. This narrative review synthesizes peer-reviewed studies (2020–2025) identified through Scopus, PubMed, Google Scholar, and Web of Science. Findings indicate persistent risks of data breaches, algorithmic inequities, and loss of clinical autonomy. While techniques such as differential privacy and explainable AI offer solutions, their implementation remains uneven. Effective governance requires multi-stakeholder engagement and strong regulation. We conclude that responsible AI integration depends on transparent governance and inclusive model development to ensure equitable and trustworthy healthcare outcomes.
Innovations and Barriers in Telehealth for Maternal and Child Health: A Global Analysis Mizawat, Afrina
Medicor : Journal of Health Informatics and Health Policy Vol. 3 No. 2 (2025): April 2025
Publisher : Indonesian Scientific Publication

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61978/medicor.v3i2.1080

Abstract

 Telehealth has emerged as a transformative solution in maternal and child health (MCH), particularly in the wake of the COVID-19 pandemic. This narrative review aims to synthesize recent innovations and identify systemic barriers that influence telehealth adoption in MCH contexts globally. Literature was sourced from PubMed, Scopus, CINAHL, and Google Scholar, focusing on studies published in the past decade involving telehealth interventions targeting pregnant women, postpartum mothers, and children under five. Findings highlight that digital innovations such as mobile health applications, SMS reminders, and teleconsultations enhance antenatal care attendance, reduce perinatal mortality, and improve postpartum mental health and breastfeeding outcomes. However, significant challenges persist, including limited infrastructure, digital illiteracy, and socio-cultural resistance—especially in low- and middle-income countries. The review underscores the importance of inclusive policy frameworks, adequate funding, and healthcare workforce readiness in supporting equitable telehealth implementation. Future research should prioritize long-term impact evaluation and culturally tailored strategies to promote sustainable adoption.
Building Future-Ready Healthcare Systems Through Digital Literacy Training Firmansyah; Ashari, Muhammad Rizki; Syam, Sadli
Medicor : Journal of Health Informatics and Health Policy Vol. 3 No. 1 (2025): January 2025
Publisher : Indonesian Scientific Publication

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61978/medicor.v3i1.1081

Abstract

 Digital literacy is a critical competency for healthcare professionals in delivering safe, effective, and patient-centered care. This narrative review examines global disparities in digital literacy training among healthcare workers, with a focus on identifying educational gaps, systemic and personal barriers, and innovative strategies for skill development. Literature was sourced from PubMed, Scopus, and Google Scholar, using predefined keywords targeting digital competency in clinical and educational contexts. Findings reveal significant disparities across healthcare professions and regions, with physicians generally showing higher proficiency than nurses and allied health workers. Systemic challenges such as limited ICT infrastructure, inadequate curricula, and weak institutional support are prevalent, particularly in low-resource settings. On a personal level, technophobia, low confidence, and concerns over workload hinder technology adoption. Innovative educational models—including simulation-based training, interactive e-learning, and problem-based learning—demonstrated positive outcomes in enhancing digital skills. However, their success is strongly tied to local infrastructure, faculty readiness, and socio-cultural factors. The review concludes that integrating digital literacy into healthcare education, investing in infrastructure, and promoting continuous professional development are essential to prepare future-ready health systems. Standardized measures and long-term outcome evaluations are recommended to assess the effectiveness of training interventions. Strengthening digital competencies is not merely a technical upgrade but a strategic imperative for resilient, equitable, and technology-enabled healthcare delivery..
The Role of Wearables in Chronic Disease Prevention and Health Promotion Syam, Sadli; Arwan; Firmansyah; Anas, Adhe Sofyan; Alchamdani
Medicor : Journal of Health Informatics and Health Policy Vol. 3 No. 1 (2025): January 2025
Publisher : Indonesian Scientific Publication

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61978/medicor.v3i1.1082

Abstract

Wearable devices are gaining recognition as vital tools in preventive health monitoring, enabling a shift from reactive to proactive care models. This narrative review synthesizes evidence on the effectiveness of wearables in four key areas: cardiovascular health, diabetes management, general fitness, and elderly care. Findings indicate that wearable ECGs and blood pressure monitors improve early detection of cardiovascular risks and help reduce hospitalizations. Continuous glucose monitoring significantly enhances glycemic control, although access remains unequal between developed and developing countries. Fitness wearables increase physical activity, yet adoption is shaped by socioeconomic and cultural factors. Among elderly populations, wearable technologies support vital sign tracking and emergency detection, contributing to autonomy and safety, though challenges in digital literacy and affordability persist. Despite these benefits, several systemic barriers limit broader impact—particularly data privacy concerns, regulatory fragmentation, interoperability issues, and cost. Addressing these challenges requires integrated policy responses, user-centered design, and equitable access strategies. This review concludes that while wearable devices offer substantial potential for improving population health, realizing their impact depends on resolving critical access and infrastructure gaps, particularly in low-resource settings. Future research should prioritize longitudinal studies and culturally tailored innovations to enhance real-world effectiveness and global scalability.
The Role of IoT and Emerging Technologies in Shaping Smart Hospitals Anas, Adhe Sofyan; Alchamdani; Syam, Sadli; Arwan; Firmansyah
Medicor : Journal of Health Informatics and Health Policy Vol. 3 No. 2 (2025): April 2025
Publisher : Indonesian Scientific Publication

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61978/medicor.v3i2.1083

Abstract

Smart hospitals represent a transformative model in healthcare, leveraging Internet of Things (IoT), artificial intelligence (AI), big data, and blockchain to improve operational efficiency and patient safety. This narrative review synthesizes current literature on the implementation and impact of these technologies in hospital environments. The findings show that IoT integration reduces operational redundancies, enhances real-time patient monitoring, and supports predictive analytics to prevent clinical errors. Supporting technologies such as AI and blockchain strengthen data-driven decision-making and secure data management. However, challenges persist, including interoperability issues, cybersecurity risks, and disparities in adoption across regions. The review underscores the importance of policy frameworks, workforce readiness, and governance structures in enabling successful implementation. Future research should prioritize longitudinal and comparative studies to better evaluate the long-term effects of smart hospitals and promote equitable digital transformation in healthcare systems.
Artificial Intelligence, Big Data, and IoT in Public Health Surveillance: A Global Narrative Review Alchamdani; Anas, Adhe Sofyan; Sunita
Medicor : Journal of Health Informatics and Health Policy Vol. 3 No. 3 (2025): July 2025
Publisher : Indonesian Scientific Publication

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61978/medicor.v3i3.1084

Abstract

The transformation of public health surveillance through digital technologies has significantly reshaped global health responses in the post-pandemic era. This narrative review synthesizes evidence from 2019 to 2025, highlighting the roles of artificial intelligence (AI), big data, and the Internet of Things (IoT) in improving outbreak forecasting, data integration, and real-time monitoring. While high-income countries demonstrate successful implementation due to robust infrastructures and governance, low- and middle-income nations face systemic barriers such as inadequate digital capacity and workforce limitations. Key challenges include fragmented systems, interoperability issues, and persistent digital divides. Policy coherence, investment in workforce training, and ethical data governance emerge as critical enablers of sustainable and equitable surveillance. The findings underscore the need for inclusive digital health strategies that extend beyond emergency responses to build resilient systems capable of addressing both emerging threats and long-term public health priorities.
Data-Driven Health Equity: The Role of Artificial Intelligence in Addressing Social Determinants of Health Zahraini, Dian Ayu
Medicor : Journal of Health Informatics and Health Policy Vol. 3 No. 3 (2025): July 2025
Publisher : Indonesian Scientific Publication

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61978/medicor.v3i3.1085

Abstract

Artificial Intelligence (AI) is increasingly recognized as a powerful instrument for addressing Social Determinants of Health (SDOH) and advancing health equity. This narrative review aims to synthesize current evidence on how AI tools are applied to identify, interpret, and operationalize SDOH in public health interventions. Relevant literature was collected from major scientific databases. The findings reveal four key themes: the interconnectedness of determinants such as economic stability, housing, education, and digital equity; the promise of AI for predictive analytics and mapping health risks; stakeholder perspectives that underscore both optimism and concerns regarding data use; and the limited coverage of upstream determinants such as education quality and community cohesion. While AI technologies demonstrate clear potential to enhance health equity strategies, systemic challenges—including algorithmic bias, uneven data quality, and infrastructural constraints—limit their effectiveness. Addressing these barriers requires inclusive policies, investments in digital infrastructure, and participatory approaches that integrate community voices. This review concludes that AI has significant potential to promote equitable health outcomes, but future research must broaden its scope and develop robust frameworks to fully harness its capabilities.