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<p>Total intravenous anesthesia (TIVA) is a well-established technique for general anesthesia and is increasingly relevant to Europe’s transition toward more digital, sustainable, and patient-centred healthcare. However, its use remains uneven across centres and still depends heavily on population-based drug models, variable monitoring practices, and repeated clinician adjustment. Differences in training, data access, device compatibility, patient response, and institutional resources can limit safe and consistent personalization. In this Review, we examine the main sources of fragility in current TIVA practice and discuss how interoperable perioperative data, digital patient simulators, patient-adaptive models, multimodal monitoring, and closed-loop decision support could improve safety and resilience. We emphasize that these technologies should support, not replace, the anesthesiologist, and should remain transparent, clinically supervised, and easy to override. We conclude by outlining priorities for European collaboration in data infrastructure, training, validation, regulation, and evaluation of AI-enabled tools.</p>

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Systemic fragility in European total intravenous anesthesia delivery and opportunities for resilient real-time decision support

  • 期刊论文

  • 出版模式：

    开放获取

  • 发表日期：

    2026年8月1日

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  • Clara Ionescu,
  • Erhan Yumuk,
  • Michele Schiavo,
  • Antonio Visioli,
  • Massimiliano Paltenghi,
  • Nicola Latronico,
  • Bob Aubouin Pairault,
  • Mirko Fiacchini,
  • Kaouther Moussa,
  • Cristina Muresan,
  • Isabela Birs,
  • Eva Dulf,
  • Teodora Mocan,
  • Lucian Mocan,
  • Robert Szabo,
  • Dana Copot

摘要

Total intravenous anesthesia (TIVA) is a well-established technique for general anesthesia and is increasingly relevant to Europe’s transition toward more digital, sustainable, and patient-centred healthcare. However, its use remains uneven across centres and still depends heavily on population-based drug models, variable monitoring practices, and repeated clinician adjustment. Differences in training, data access, device compatibility, patient response, and institutional resources can limit safe and consistent personalization. In this Review, we examine the main sources of fragility in current TIVA practice and discuss how interoperable perioperative data, digital patient simulators, patient-adaptive models, multimodal monitoring, and closed-loop decision support could improve safety and resilience. We emphasize that these technologies should support, not replace, the anesthesiologist, and should remain transparent, clinically supervised, and easy to override. We conclude by outlining priorities for European collaboration in data infrastructure, training, validation, regulation, and evaluation of AI-enabled tools.