{"id":8900,"date":"2025-03-15T21:12:25","date_gmt":"2025-03-15T21:12:25","guid":{"rendered":"https:\/\/icv-controlling.com\/blog\/generative-ai-in-health-care-controlling-insights-from-the-work-group-health-care-switzerland\/"},"modified":"2025-04-13T17:17:25","modified_gmt":"2025-04-13T17:17:25","slug":"generative-ai-in-health-care-controlling-insights-from-the-work-group-health-care-switzerland","status":"publish","type":"blog","link":"https:\/\/icv-controlling.com\/en\/blog\/generative-ai-in-health-care-controlling-insights-from-the-work-group-health-care-switzerland\/","title":{"rendered":"Generative AI in health care controlling: Insights from the Work Group Health Care Switzerland"},"content":{"rendered":"
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On December 11, 2024, the members of the ICV Sector Work Group Health Care Switzerland had the opportunity to gain a fascinating insight into the world of generative AI. This topic, which is currently the subject of heated debate in many industries, was the focus of an exciting exchange and inspiring presentations. <\/p>\n

A highlight: the presentation by Kevin Fr\u00f6hlich<\/p>\n

Special thanks go to Kevin Fr\u00f6hlich(https:\/\/www.linkedin.com\/in\/kevin-fr%C3%<\/a> B6hlich-326320288\/), Managing Director of MFA-Solutions, who impressively demonstrated to the participants how generative AI and associated tools can create concrete added value in health care controlling.<\/p>\n

From data analysis and forecasting to decision support – the possibilities of this technology are impressive. Particularly in the health care sector, where efficiency and precision are essential, generative AI opens up new ways of working in a more targeted and resource-efficient manner. <\/p>\n

Key learnings from the discussion<\/p>\n

The exchange highlighted not only the potential, but also the challenges. Here are the most important findings: <\/p>\n

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  1. Automation:
    \nGenerative AI reduces the workload by automating repetitive tasks such as reports, analyses and documentation.<\/li>\n
  2. Decision support:
    \nThanks to improved forecasts and analyses, AI enables well-founded decisions, which are particularly crucial in the complex healthcare environment.<\/li>\n
  3. Challenges:
    \nIssues such as data protection, technological integration, user acceptance and the often limited access to resources must be addressed in a targeted manner.<\/li>\n
  4. Strategic role of controllers:
    \nThe early adaptation of AI and a corresponding mindset ensure long-term competitiveness. Controllers are developing into strategic “data navigators”, supported by AI that takes over routine tasks. <\/li>\n
  5. The future of controlling in healthcare:
    \nThe clear message: with generative AI, controllers can not only work more efficiently, but also create more space for strategic tasks that make a real difference.<\/li>\n<\/ol>\n

    Clear added value for healthcare controlling<\/p>\n

    The advantages of generative AI in health care controlling can be summarized as follows:<\/p>\n