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, PhD
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