Important Dates |
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|---|---|
| Early Bird Abstract submissions Closes on November 29, 2025 | |
| Early Bird Registrations Closes on December 19, 2025 | |
| Abstract submissions Closes on February 02, 2026 | |
| Registrations Closes on March 09, 2026 | |
The Global Conference on Digital Health and Clinical Informatics, to be held in Malaysia, offers a prestigious platform for a diverse international community of researchers, practitioners, and policymakers to converge around the latest advancements and innovation in digital health and clinical informatics. This conference emphasizes the integration of cutting-edge digital technologies and informatics research to transform healthcare delivery at a global scale, while highlighting pioneering research and initiatives in Malaysia and the ASEAN region.
Globally, digital health is driving a revolution—from artificial intelligence and big data to telemedicine and wearable technologies—enabling more personalized, efficient, and equitable care. Malaysia’s robust digital infrastructure, government support, and vibrant research ecosystem have positioned it as a regional leader in deploying digital health solutions. By bridging international perspectives with regional insights, Digital Health 2026 aims to spotlight global research breakthroughs while equally highlighting the unique progress, challenges, and innovations emerging from Malaysia and ASEAN.
Digital Health and Clinical Informatics: Research Pain Points and Progress
Pain Points
• Interoperability gaps among diverse health systems and technologies hinder seamless data exchange and coordinated care.
• Regulatory uncertainties and ethical challenges including data privacy, ownership, and informed consent complicate digital health implementation, especially for patient-reported outcome measures (PROMs).
• Limited evidence-based standards and challenges in clinical validation hamper widespread uptake of digital health interventions.
• Managing regulatory and policy barriers for emerging health technologies, including AI governance.
• Addressing inclusivity and equitable access in diverse populations.
Progress
• Advances in AI and machine learning enable predictive analytics and precision health, improving diagnostics and personalized care.
• Rapid growth of digital therapeutics, telemedicine, wearable health devices, and remote patient monitoring expand access and patient empowerment.
• Emergence of inclusive design methodologies involving end-users fosters better adoption and usability.
• Capacity building in health informatics education and research integrates best practices optimized.
Topics of interest for submission include, but are not limited to the below