5th International Conference on Primary Care and Global Healthcare

Session Overview

This session examines how artificial intelligence, digital health and health informatics are reshaping primary-care delivery, clinical decision-making, population health and access to healthcare. It focuses on the transition from technology adoption to measurable improvements in care quality, continuity, efficiency and equity.

The session brings together research on AI-enabled clinical decision support, electronic health records, telehealth, remote monitoring, predictive analytics, digital therapeutics, interoperability and population-health analytics. Particular attention is given to how these technologies can be responsibly integrated into routine primary care without creating new digital or socioeconomic barriers.

A central question is: How can digital technologies improve access, continuity, quality and equity in primary care while remaining clinically safe, interoperable, trustworthy and patient-centred?

Sub Tracks

• Artificial Intelligence & Clinical Decision Support
• Digital Primary Care & Telehealth
• Health Informatics & Interoperability
• Digital Population Health & Predictive Analytics
• Digital Health Equity, Safety & Responsible AI

Scientific Scope & Research Areas

The scientific scope encompasses artificial intelligence in healthcare, digital health, medical informatics, clinical informatics, health information systems, telemedicine, data science and primary-care research.

Research may include AI model development and validation, clinical decision support, natural language processing, generative AI, electronic health records, telehealth implementation, remote patient monitoring, predictive analytics, digital therapeutics and health-information exchange.

The session places particular emphasis on the translation of digital innovation into real-world primary-care systems. Research evaluating clinical effectiveness, implementation, usability, workflow integration, patient outcomes, cost-effectiveness, interoperability and health equity is especially relevant.

Discussion & Research Areas

• AI-assisted clinical decision-making, diagnosis and risk prediction in primary care
• Generative AI and large language models for clinical documentation, information retrieval and care workflows
• Telehealth and virtual primary care for improving healthcare access and continuity
• Electronic health records, interoperability and integrated health information systems
• Remote patient monitoring and digital management of chronic diseases
• Algorithmic bias, digital exclusion, data privacy and responsible AI in primary care
• Evaluating whether digital health interventions improve quality, outcomes, efficiency and health equity

Who Should Attend / Submit

• Primary Care Physicians & Family Physicians
• General Practitioners
• Digital Health Researchers
• Artificial Intelligence & Machine Learning Researchers
• Health & Clinical Informatics Researchers
• Health Data Scientists
• Telemedicine & Telehealth Researchers
• Health Services & Implementation Researchers
• Public Health & Population Health Researchers
• Healthcare Technology Developers
• Health Policy & Digital Health Policy Researchers
• University Faculty & Academic Researchers
• Healthcare Information Technology Professionals

Keywords

Artificial Intelligence in Healthcare | Digital Health | Health Informatics | Telemedicine | Electronic Health Records | Machine Learning.