{"id":27672,"date":"2026-07-20T17:30:55","date_gmt":"2026-07-20T15:30:55","guid":{"rendered":"https:\/\/semmelweis.hu\/emk\/?p=27672"},"modified":"2026-07-20T17:30:55","modified_gmt":"2026-07-20T15:30:55","slug":"the-czech-team-behind-of-the-hai-so-project","status":"publish","type":"post","link":"https:\/\/semmelweis.hu\/emk\/en\/2026\/07\/20\/the-czech-team-behind-of-the-hai-so-project\/","title":{"rendered":"The Czech Team behind of the HAI-SO Project"},"content":{"rendered":"

Proud to introduce the Czech partners of the HAI-SO (\u201cHealth AI-driven System Optimization\u201d) project<\/strong><\/a> – a HU-Rizont awarded research and innovation initiative advancing AI-driven, data-supported healthcare systems.<\/p>\n

The Czech team, based at the Prague University of Economics and Business<\/strong>, is led by Peter Pa\u017eitn\u00fd<\/strong>, a highly regarded expert in health policy and healthcare system reform. With decades of international experience, he has played a key role in shaping healthcare transformation across Central and Eastern Europe, bringing deep expertise at the intersection of policy, economics, and innovation. <\/p>\n

Under his leadership, the team contributes strong knowledge in health economics, system-level analysis, and evidence-based policy development, essential for supporting the HAI-SO project\u2019s mission to create impactful, AI-enabled healthcare solutions.<\/span> <\/p>\n

Daniela Kandilaki<\/strong> is also an active contributor to the project, supporting the team\u2019s work through her professional expertise and engagement.
\n<\/span><\/p>\n

\"Peter
Peter Pa\u017eitn\u00fd, Daniela Kandilaki<\/figcaption><\/figure>\n
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Further team members contributing to the project: Marek \u0158eho\u0159, Veronika Va\u0161\u00ed\u010dkov\u00e1, Karol\u00edna K\u0159et\u00ednsk\u00e1<\/strong>
\n<\/span><\/p>\n<\/div>\n

The Czech partners play an important role in strengthening the project\u2019s international collaboration, contributing valuable perspectives to healthcare system optimization and data-driven decision-making.<\/span><\/p>\n

The hungarian team behind the HAI-SO (\u201cHealth AI-driven System Optimization\u201d) – a HU-Rizont awarded research and innovation project<\/a><\/p><\/blockquote>\n