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Updated: Feb 14, 2026

Setting Up a Stroke Team Algorithm and Conducting Simulation-based Training in the Emergency Department - A Practical Guide
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Educating Nurses in the Intensive Care Unit About Gastrointestinal Complications: Using an Algorithm Embedded into

Loretta Bond1, Beth Hallmark1

  • 1Belmont University-Gordon E. Inman College of Health Sciences & Nursing, 1900 Belmont Boulevard, Nashville, TN 37212-3757, USA.

Critical Care Nursing Clinics of North America
|February 8, 2018
PubMed
Summary
This summary is machine-generated.

Intensive care unit (ICU) nurses face challenges caring for deteriorating patients with gastrointestinal (GI) complications. This article proposes simulation training integrating clinical judgment and assessment tools to improve recognition and care for these complex patients.

Keywords:
AlgorithmClinical judgmentFailure to rescueGI failureIntensive care unitRubricSequential organ failure assessment (SOFA)Simulation

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Area of Science:

  • Critical Care Medicine
  • Nursing Education
  • Gastroenterology Nursing

Background:

  • Caring for deteriorating patients in the ICU, particularly those with gastrointestinal (GI) complications, presents significant challenges for nurses due to the often vague yet serious nature of symptoms.
  • Existing tools like the Sequential Organ Failure Assessment (SOFA) and GI Failure (GIF) tools aid nurses in clinical decision-making.

Purpose of the Study:

  • To describe the development of a simulation training algorithm for ICU nurses.
  • To integrate clinical judgment models and specific assessment tools (SOFA, GIF) into this training.
  • To enhance the recognition and management of deteriorating patients with GI complications.

Main Methods:

  • Development of an algorithm for simulation training.
  • Integration of the clinical judgment model into the training algorithm.
  • Incorporation of the Sequential Organ Failure Assessment (SOFA) tool and the GI Failure (GIF) tool within the simulation.

Main Results:

  • The proposed algorithm provides a structured approach to simulation training.
  • Integration of tools and models aims to improve nurses' ability to manage complex GI patient cases.
  • Simulation training enhances preparedness for recognizing and managing deteriorating patients with GI issues.

Conclusions:

  • Simulation training incorporating clinical judgment and assessment tools can effectively prepare ICU nurses.
  • This approach addresses the complex needs of deteriorating patients with GI complications.
  • Enhanced nurse preparedness can lead to improved patient outcomes in critical care settings.