Introduction: Fragile health systems, predominantly in low- and middle-income countries (LMICs), face critical vulnerabilities, including inadequate infrastructure, workforce shortages, and socio-political instability. These weaknesses are exacerbated during crises such as pandemics, natural disasters, and conflicts, leading to devastating health outcomes. Traditional approaches have proven insufficient in addressing these systemic challenges. This research introduces a technology-driven framework leveraging artificial intelligence (AI) and digital health solutions to enhance the resilience of fragile health systems. Objectives: • Develop an AI-driven framework for identifying global health systems at risk of collapse. • Analyze operational, clinical, and administrative vulnerabilities within fragile systems. • Design and implement targeted interventions, including digital health solutions, workforce training, and infrastructure upgrades. Methods: The study is structured in three phases: • Risk Identification: AI-driven predictive modeling will analyze global datasets, including socio-political and environmental metrics, to identify health systems at high risk of collapse. • Vulnerability Analysis: Machine learning algorithms will assess operational inefficiencies, workforce challenges, and supply chain vulnerabilities in identified health systems. • Targeted Interventions: Interventions, such as telemedicine platforms, AI-powered training modules, and electronic health records (EHRs), will be deployed. Community and stakeholder engagement will ensure sustainability and integration into national policies. Results: Expected Outcomes: 1. Creation of a scoring system categorizing health system fragility. 2. Implementation of interventions to enhance accessibility, efficiency, and sustainability in healthcare delivery. 3. Strengthened local capacity and integration of resilience strategies into national policies. Conclusion: This research addresses critical global health challenges by transforming fragile health systems into robust, crisis-ready entities. Our work directly supports global health security, with implications for emergency preparedness and disaster medicine. By leveraging cutting-edge AI and digital health solutions, this project offers an innovative, scalable, and sustainable pathway to resilience in fragile health systems, ultimately contributing to equitable healthcare access and improved outcomes in vulnerable regions.
Shama Patel (Sun,) studied this question.
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