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Consensus for Operating Room Multimodal Data Management: Identifying Research Priorities for Data-Driven Surgery.

Alain Garcia Vazquez1, Juan Verde1, Ariosto Hernandez Lara1

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Summary
This summary is machine-generated.

This study identifies key research areas for data-driven surgery to improve data management in minimally invasive procedures. Experts prioritized standardizing operating room data and integrating AI for enhanced patient care and surgical efficiency.

Keywords:
data-driven surgerydigital surgerymachine learning in surgerysurgical data managementsurgical data science

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Area of Science:

  • Surgical Data Science
  • Minimally Invasive Surgery
  • Multimodal Data Analysis

Background:

  • Operating rooms are becoming data-rich environments due to technological advancements.
  • Effective data pipeline management is crucial for real-time data utilization in surgery.
  • Focusing research efforts on practical data usage is essential for surgical innovation.

Purpose of the Study:

  • Identify critical research areas in multimodal data-driven surgery.
  • Improve data management strategies for minimally invasive surgery.
  • Establish a roadmap for future research in surgical data science.

Main Methods:

  • A modified electronic Delphi approach involving 53 investigators.
  • Problem identification and literature review by a research group.
  • Validation by medical and technical experts, followed by two survey rounds with an invited panel.

Main Results:

  • Key research areas identified include digitizing operating room activities and improving data streaming.
  • Uniform protocols for multimodal data handling and AI integration for efficiency and safety are crucial.
  • A roadmap prioritizes standardizing data formats, integrating patient information, ensuring regulatory compliance, and securing data transfers.

Conclusions:

  • This international expert consensus highlights current issues and research targets in data-driven surgery.
  • The study emphasizes the need for improved data management to facilitate novel patient care strategies.
  • Addressing identified research gaps will advance the implementation of data-driven approaches in minimally invasive surgery.