Integrating autonomously navigating assistance systems into the clinic: guiding principles and the ANTS-OR approach.

Journal: International journal of computer assisted radiology and surgery
PMID: 32242298

Abstract

PURPOSE: Autonomously self-navigating clinical assistance systems (ASCAS) seem highly promising for improving clinical workflows. There is great potential for easing staff workload and improving overall efficiency by reducing monotonous and physically demanding tasks. However, a seamless integration of such systems into complex human-supervised clinical workflows is challenging. As of yet, guiding principles and specific approaches for solving this problem are lacking.

Authors

  • Lukas Bernhard
    Research Group MITI, Klinikum rechts der Isar der Technischen Universität München, Munich, Germany. lukas.bernhard@tum.de.
  • Daniel Ostler
    Department of Surgery, Research Group Minimally Invasive Interdisciplinary Therapeutical Intervention (MITI), Klinikum rechts der Isar, Technical University Munich (TUM) , Munich, Germany.
  • Hubertus Feussner
    Department of Surgery, Research Group Minimally Invasive Interdisciplinary Therapeutical Intervention (MITI), Klinikum rechts der Isar, Technical University Munich (TUM), Munich, Germany, Department of Surgery, Klinikum rechts der Isar, Technical University Munich (TUM), Munich, Germany.
  • Dirk Wilhelm
    Department of Surgery, Research Group Minimally Invasive Interdisciplinary Therapeutical Intervention (MITI), Klinikum rechts der Isar, Technical University Munich (TUM), Munich, Germany, Department of Surgery, Klinikum rechts der Isar, Technical University Munich (TUM), Munich, Germany.

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