Abstract:
Public health systems globally are facing converging pressures from rising non-communicable diseases, infectious disease preparedness needs, workforce shortages, widening rural–urban health inequities, fragmented data systems, and delayed access to preventive care. To respond effectively, public health and epidemiology must move beyond episodic disease surveillance toward integrated, community-centred, digitally enabled, and prevention-focused health system models.
This presentation proposes a 2030 Co-Creation Model for digitally enabled public health transformation, drawing on practical implementation learning from BioTech Sphere Research’s primary healthcare and digital health engagement work across India and wider international collaboration pathways. The model focuses on four interconnected pillars: community-level screening and early detection, responsible use of AI and digital tools for public health decision support, epidemiological data capture at the point of care, and cross-sector partnerships involving healthcare providers, policymakers, researchers, and local communities.
The proposed framework emphasises how digital health platforms, AI-assisted triage, remote monitoring, structured follow-up systems, and community health worker engagement can strengthen epidemiological intelligence while improving access to care in underserved populations. Particular attention is given to implementation realities, including digital trust, health literacy, data governance, interoperability, ethical AI use, workforce training, and measurable public health outcomes.
The presentation will also discuss how co-creation between public institutions, research organisations, industry partners, and community stakeholders can support scalable public health innovation by 2030. Expected outcomes include improved early detection, stronger primary care referral pathways, better population-level health insights, reduced preventable disease burden, and more equitable health system planning.
This contribution aims to provide a practical, policy-relevant, and implementation-oriented perspective on how public health and epidemiology can be strengthened through responsible digital transformation and collaborative global health innovation.
Keywords: Digital Health; Public Health; Epidemiology; Artificial Intelligence; Primary Healthcare; Health Equity; Preventive Care; Co-Creation; 2030 Health Systems; Community Health
Biography:
To be updated shortly..
Copyright 2024 Mathews International LLC All Rights Reserved
