About the Journal

Positioning Statement

IJAMI is a first peer-reviewed, open-access journal from Southeast Asia dedicated to augmented medical intelligence — technology that enhances clinician decision-making across the spectrum of healthcare delivery. Published by Universitas Udayana through the Unit Jurnal dan Publikasi Ilmiah (JUPI), IJAMI bridges the interdisciplinary intersection of medicine and technology, with particular emphasis on implementation in diverse healthcare settings, tropical medicine applications, and human-centered AI that empowers rather than replaces healthcare professionals.

Aims

IJAMI provides a rigorous scientific platform for multidisciplinary research that synthesizes technological innovation with clinical expertise and ethical responsibility. The journal exists to:

  1. Advance the augmented intelligence paradigm — research, methods, and evidence on technologies that complement and enhance clinician judgement rather than function autonomously.
  2. Serve clinicians, data scientists, bioethicists, health policy researchers, and implementation scientists with peer-reviewed evidence relevant to real-world healthcare practice.
  3. Establish a dedicated regional venue for medical informatics scholarship from Southeast Asia and other low- and middle-income countries (LMIC) settings, addressing a documented gap in Scopus-indexed regional publishing.
  4. Make scientific contributions globally accessible through full open access, with no subscription barrier and equitable participation costs for authors.

Scope

Core Domains

IJAMI welcomes original research, systematic reviews, methodological papers, implementation reports, perspectives, and case reports across six core domains:

Domain

Includes

Clinical Decision Support & AI

Machine learning in clinical diagnosis; natural language processing for clinical documentation; explainable AI in healthcare; human–AI collaboration frameworks; clinical prediction models; risk stratification

Digital Health Systems

Electronic health records and interoperability; telemedicine and telehealth delivery; mHealth interventions; health information exchange and standards; implementation science for health IT

Medical Imaging & Diagnostics

AI-assisted imaging interpretation; point-of-care diagnostic devices; computer-aided detection and diagnosis; digital pathology; laboratory informatics

Precision Medicine Technologies

Genomic decision support; pharmacogenomics in clinical practice; clinical bioinformatics; biomarker-based stratification

Connected Health

Wearable devices and remote patient monitoring; IoT in healthcare; AR/VR in medical education and therapy; surgical robotics

Ethics, Regulation & Policy

AI ethics, bias and fairness; data privacy and security; regulatory frameworks for health technology; equity in digital health access

Distinctive Emphases

IJAMI prioritizes five themes underserved by existing international journals:

  • Augmented intelligence over autonomous AI. Research emphasizes human-in-the-loop (HTIL) systems, clinician oversight, and decision support that preserves professional judgement.
  • LMIC implementation science. Real-world deployment, workflow integration, cost-effectiveness, and clinician acceptance in resource-constrained settings — including pilot-to-scale transitions, negative results, and lessons from implementation failures.
  • Tropical medicine technology. AI for neglected tropical disease diagnosis, surveillance systems, and point-of-care diagnostics in endemic regions.
  • Southeast Asian and archipelago healthcare. Solutions for distributed populations, rural–urban divides, and the specific epidemiological and infrastructural realities of the ASEAN region.
  • Equity, ethics, and accountability. Algorithmic fairness across patient subgroups, data sovereignty in the global South, and governance frameworks for responsible deployment.

 

Strategic Pillars

Augmented Intelligence

LMIC Champion

Tropical Health-Tech

ASEAN Hub

Human-centered AI that enhances clinician decision-making. The physician remains in the loop.

Research from and for resource-constrained settings. Cost-effective, scalable, locally adapted solutions.

AI for tropical diseases, surveillance, point-of-care diagnostics in endemic regions.

The first dedicated medical informatics journal from Southeast Asia. Serving a population of over 700 million.

Audience

IJAMI’s primary audience is clinicians, doctors, and healthcare practitioners worldwide. The journal also serves engineers, computer scientists, implementation researchers, bioethicists, and health policymakers working at the medicine–technology interface, particularly those engaged with healthcare delivery in Southeast Asia, other LMIC contexts, and globally relevant tropical medicine.

What IJAMI Does Not Publish

To preserve clinical and translational focus, IJAMI does not publish:

  • Pure algorithm development or theoretical machine learning without a clearly articulated clinical application.
  • Engineering hardware studies without medical validation or clinician involvement.
  • Studies promote fully autonomous clinical decision systems that bypass human oversight, except as critical analyses of such systems.
  • Marketing-style descriptions of commercial products without independent evaluation.

Editorial Independence

IJAMI is editorially independent of its publisher (Universitas Udayana / JUPI). Editorial decisions are made based on scientific merit, methodological rigor, and relevance to the journal’s scope, without commercial or institutional influence. The journal adheres to the Committee on Publication Ethics (COPE) Core Practices and follows the recommendations of the International Committee of Medical Journal Editors (ICMJE).