10 September 2026
11:00 a.m. (Eastern Time)
Language: Simultaneous interpretation in English, Spanish, Portuguese, and French.
Artificial Intelligence is opening new possibilities for strengthening the coding and analysis of morbidity and mortality information, particularly when combined with international standards such as the International Classification of Diseases, 11th Revision (ICD-11).
During this session, Daniel Luna, Charly Otero, and Juan Carlos Díaz will explore how Artificial Intelligence combined with ICD-11 can support the identification and coding of the main condition and causal chains of death based on clinical information.
Examples of Artificial Intelligence-based tools for ICD-11 coding from clinical text will be presented, including their data requirements, benefits, and limitations. The session will also address issues related to data quality, interoperability, and the use of semantic standards in health information systems.
The discussion will also examine key considerations for the responsible implementation of these technologies, including ethics, data governance, transparency, and the importance of maintaining appropriate human oversight.
This event is being held within the framework of the Community of Practice for Civil Registration and Vital Statistics (CRVS) in Latin America and the Caribbean and is part of the thematic area on the digital transformation of CRVS systems, which seeks to promote the active exchange of good practices and relevant information to strengthen these systems throughout the Region.
Objectives
Overall objective of the series: Strengthen technical and institutional capacities to use ICD-11 as a core semantic standard in Civil Registration and Vital Statistics (CRVS) and Information Systems for Health (IS4H), improving the quality and integration of morbidity and mortality data and enabling the interoperability needed for digital health transformation and informed decision-making.
Specific objective of the session: Explore how Artificial Intelligence combined with ICD-11 can support the coding of the main condition and causal chains in morbidity and mortality records.
Speakers
Daniel Luna
Physician with Master's and PhD degrees in Information Systems Engineering, with extensive experience in health informatics. He led the development of the clinical information system at Hospital Italiano de Buenos Aires and currently heads its Health Informatics Department.
Charly Otero
Physician and Master's degree holder in Biomedical Informatics, with more than 20 years of experience in digital health, interoperability, and health information systems. He has led projects and advised healthcare institutions and government agencies across Latin America.
Juan Carlos Díaz
Data Engineering Advisor at the Pan American Health Organization (PAHO), specializing in transforming complex data into actionable insights to support decision-making. He promotes the creative and responsible use of data and Artificial Intelligence in public health.
Moderator: Myrna Marti, IS4H Advisor and Coordinator of the Digital Literacy Program, Pan American Health Organization.
Participation
- DATE: Thursday, 10 September 2026
- TIME: 11:00 a.m. - 12:00 p.m. (Eastern Time)
- FORMAT: International Experience
- PLATFORM: ZOOM
- LANGUAGE: English, with simultaneous interpretation into Spanish, Portuguese, and French.