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Emergency Undocking in Robotic Surgery: A Simulation Curriculum

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Published on: May 20, 2018

[Understanding complex processes better-A case study on increasing patient safety and efficiency in a central

Tillmann Speer¹, Thomas Mühlbradt², Helga Unger²

¹Klinik für Anästhesiologie, Klinikum Itzehoe, Robert-Koch-Straße 2, 25524, Itzehoe, Deutschland. t.speer@kh-itzehoe.de.

Die Anaesthesiologie

|March 8, 2024

Summary

The Functional Resonance Analysis Method (FRAM) enhances understanding of complex preoperative preparation processes. It identifies critical functions to improve patient safety and operational efficiency in hospitals.

Keywords:

Operating room management Preoperative preparation Process understanding Sociotechnical systems System analysis

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Area of Science:

Healthcare Management
Systems Engineering
Patient Safety

Context:

Operating rooms are complex sociotechnical systems requiring efficient, cost-effective patient care.
Preoperative preparation is a critical, multi-step process prone to management challenges.
Traditional error-focused approaches are being supplemented by systemic views like Safety-II.

Purpose:

To evaluate the suitability of the Functional Resonance Analysis Method (FRAM) for improving process understanding in preoperative preparation.
To model preoperative preparation as it is actually performed, contrasting it with how it is planned.

Summary:

FRAM analysis revealed preoperative preparation as a complex network of interdependencies.
The study identified functions with high centrality and variability, crucial for patient safety and process efficiency.
Specific interventions were prioritized based on their impact on critical functions and system resilience.

Impact:

FRAM provides deeper insights into sociotechnical systems than linear methods.
The dynamic view of system interactions facilitates targeted measures to enhance resilience.
This approach contributes to improved patient safety and operational efficiency in healthcare settings.