The paper discusses the evolving issue of data ownership in the field of artificial intelligence (AI) based integrative health care (IHC). The authors present a new framework known as the Collaborative Healthcare Data Ownership (CHDO). This study delves into the complexity of data ownership, which includes patients, providers, researchers, and AI developers, and it also addresses challenges such as vague consent, attribution of insights, and inconsistencies in international data ownership laws. Different ownership models such as privatization, communization, distributed access control, data trusts, and blockchain technology are examined for their potential and limitations. The authors propose the CHDO framework that stresses on shared ownership, defined access and control, and transparent governance as a viable solution for responsible and collaborative AI integration in IHC. The study provides valuable insights into the complicated issue of data ownership in AI-based IHC, suggesting a path for ethical and sustainable advancements in data-driven healthcare.

Content curated by: Dr. Cameron Jones, PhDPublic Health Expert, Fungal Biologist, and Science CommunicatorCEO of Biological Health Services, a consultancy and lab specializing in indoor air quality.Adjunct Faculty at the National Institute of Integrative Medicine, Australia.Founder, BioMedix & House of Pot, BangkokFor more insights on public health and cutting-edge research, visit drcameronjones.com and drcameronjones.tvThis podcast is part of an innovative science communication initiative powered by Google's Notebook LM, an AI-driven tool that helps bring complex research to life by creating dynamic conversations and easily digestible summaries. Stay tuned for more engaging discussions at the intersection of science, health, and wellness.

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