Tuesday, 31 January 2023, 11:00–12:30 (UTC/GMT+1or CET)
Languages: Simultaneous interpretation in English, French and Spanish (Simultaneous interpretation – Frequently asked questions)
This webinar is organized in partnership with the Operating Unit on Policy-Driven Electronic Governance (UNU-EGOV) at the United Nations University, and through the collaboration with Moinul Zaber and Oxana Casu.
Following the kickoff of the webinar series on Artificial Intelligence (AI), this webinar will dive into AI applications in health care, presenting how institutions have implemented applications to improve service delivery and support internal functions.
Artificial Intelligence applications in health care have been used in different dimensions, to support institutions in improving the quality of health services, help identify potential risks in patients as well as support internal operations to facilitate claim management processes.
This webinar will look at how AI solutions have helped medical staff identify potential risks in patients, both through solutions that use structured data processing that alert hospital staff, as well as the use of image recognition to detect respiratory illnesses. The webinar will also look at how AI supports health institutions’ claims management administration, streamlining processes that usually require manual evaluation from scarce medical resources.
The webinar will provide details on the business cases for the use of AI applications in health care, as well as share open-source tools available for social security institutions.
|Lachlan Rudd, Director Data and Analytics, eHealth New South Wales, Australia|
|Dr Héctor Jaramillo Gutiérrez, Mutual for Safety CChC, Chile|
|Dragos Dobre, openIMIS, Swiss Tropical and Public Health Institute (Swiss TPH), Switzerland|
This webinar will examine the following questions:
- How are AI tools used for helping health professionals detect risks in patients?
- What are some of the risks and challenges in implementing these tools and which of those risks and challenges are specific for health-based AI applications?
- How is data quality managed for AI tools to ensure there are no biases in the solutions?
- What are other potential uses for AI tools in health care?
- Welcome by Marcelo Abi-Ramia Caetano, Secretary General, ISSA
- Case experience of New South Wales
- Case experience of Mutual for Safety, Chile
- Case experience of openIMIS Claim-AI module for claim management, Switzerland
- Q&A – Discussion
|Moderated by Ernesto Brodersohn, Senior Officer in Social Security, ISSA|
The webinar is open to delegates of ISSA member organizations and invited institutions without registration fees.