Artificial Intelligence (AI) in Health Financing
10 December 2025

As part of the 2025 Universal Health Coverage (UHC) Day campaign, ADB organized the webinar, partnering with Deutsche Gesellschaft für Internationale Zusammenarbeit (GIZ), openIMIS, and Amref Health Africa, and it brought together experts, policymakers, and social health insurance leaders across Asia to explore how Artificial Intelligence (AI) can strengthen health financing systems amid rising costs and fragmented processes. Speakers emphasized that AI is an enabler—not a substitute for governance—enhancing claims automation, fraud detection, forecasting, and service quality. Data readiness, including interoperability and structured Electronic Medical Records (EMRs), emerged as the top prerequisite for adoption. Country presentations showcased progress: Uzbekistan is piloting AI for claims and fraud detection; Pakistan has implemented AI for imaging fraud and automated claims; and the Philippines is building digital foundations for fraud control and quality assurance. Panelists stressed ethical frameworks, regulatory oversight, and capacity building, while ADB highlighted regional collaboration and digital public goods as accelerators. With strong foundations, AI offers the Asia Pacific Region a transformative opportunity to leapfrog barriers and advance UHC by 2030.

Program and Learning Materials
Session / Activity Title Speaker(s)
Opening Remarks Akihito Watabe
Introduction of Open IMIS Ralf Radermacher
Presentations Potential of AI adoptionin Health Insurance
This presentation gives an overview of AI’s role in improving health financing efficiency, enhancing claims management, fraud detection, client…
Simona Dobre
Country Case Study 1 AI for Health Insurance: Uzbekistan Perspective
This presentation gives an overview of Uzbekistan's integrated health insurance ecosystem amid fragmented systems and limited interoperability. AI…
Mircea Buga
Country Case Study 2 AI application in Health Financing (Pakistan)
Pakistan showcased advanced digital systems and AI applications, including fraud detection in cardiology scans, duplicate claim identification, and automated ID verification.
Touseef Iqbal, Manager, State Life Insurance Corporation of Pakistan
Country Case Study 3 AI in Healthcare: The Philippines
This presentation gives an overview of how PhilHealth is laying digital foundations for AI through EMRs, the Health Care Institution (HCI) Portal,…
Arrel Peter Pascual
Panel Session and Q&A from Participants Experts stressed robust data ecosystems, interoperability, and skilled teams as AI adoption prerequisites. Seolhee Chung, Director General, International Cooperation Department, Health Insurance Review and Assessment Service (HIRA), Republic of Korea

Saurav Bhattarai, Team Lead at openIMIS, Global Alliances for Social Protection openIMIS, GIZ

Mohammed Golam Rafi, Medical Officer, Health Economics Unit, MOHFW, Bangladesh

Eduardo Banzon, Director, Human and Social Development Sector Office, Sectors Department 3, ADB
Closing Remarks Eduardo Banzon

Disclaimer

The views expressed on this website are those of the authors and do not necessarily reflect the views and policies of the Asian Development Bank (ADB) or its Board of Governors or the governments they represent. ADB does not guarantee the accuracy of the data included in this publication and accepts no responsibility for any consequence of their use. By making any designation of or reference to a particular territory or geographic area, or by using the term “country” in this document, ADB does not intend to make any judgments as to the legal or other status of any territory or area.

Event Coordinator/s

  • Akihito Watabe
  • Saro Tsaturyan
  • Maria Iris Baltazar

ADB Organizer/s

  • Health Sector Group
  • Human and Social Development Sector Office

Topics

  • Health