This presentation gives an overview of how PhilHealth is laying digital foundations for AI through EMRs, the Health Care Institution (HCI) Portal, Integrated PhilHealth Accreditation System (iPASS), and the National Health Data Repository. Priority AI use cases include fraud detection, member data cleanup, claims audits, risk profiling, and real-time quality monitoring—supporting efficiency and accountability under the UHC law and digital health reforms.

This presentation gives an overview of Uzbekistan's integrated health insurance ecosystem amid fragmented systems and limited interoperability. AI priorities include claims automation, fraud detection, and provider monitoring. A six-phase roadmap spans assessment, design, infrastructure upgrades, localization, pilot testing in Samarkand, and national scale-up with continuous retraining to strengthen governance and efficiency.

This presentation gives an overview of AI’s role in improving health financing efficiency, enhancing claims management, fraud detection, client services, and cost forecasting. She explained the shift from traditional to generative AI, outlined the AI lifecycle, and emphasized responsible, human-centered design supported by resources like the ADB–GIZ–AMREF e-learning course and DCI AI Hub.

This presentation gives an overview of the challenges and opportunities of deploying AI in developing countries, focusing on the need for responsible and inclusive adoption.

This presentation is about the program overview of the 5th Digital x ADB 2024 conference, focusing on AI opportunities in healthcare, education, and climate change.

This presentation is about using data as a differentiator in Generative AI to accelerate productivity in public service, with a focus on the Asian Development Bank (ADB) and examples of generative AI applications in organizations like the Housing Development Board (HDB) and SG Health.