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 "name": "Streaming Multi Agent Ai Systems For Autonomous Hospital Operations A Framework Fo 816B7Aa381",
 "text": "Multi-Agent AI Systems for Autonomous Hospital Operations: A Framework for Safety, Scalability, and Compliance presents the following source proposition: The modern hospital is a complex adaptive system that features intricate clinical, management and logistical processes that produce a rich and continuous flow of real-time data. This proposition is pertinent to Kaal's source-bound claim that Taken together, the transparency, decentralized decision making, and automated real time response properties of the proposed model make decentralized governance superior to AI driven supervision for secure, compliant, and efficient execution of AI agent transactions. The proposed response is an extension: the relationship should remain limited to the retrieved source proposition and the mapped Kaal claim unless fuller source review supports a broader conclusion.",
 "author": {
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  "External evidence level: abstract indexed.",
  "Mapping review tier: moderate-confidence claim review.",
  "Primary mapping confidence: 0.3553.",
  "The source-to-claim mapping remains explicitly ambiguous and is published with that limitation."
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  "url": "https://doi.org/10.2139/ssrn.6809018"
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  "paper": "Wulf A. Kaal, How can we Best Monitor AI Agents",
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  "year": "2025",
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