A model of medical error based on a model of disease: interactions between adverse events, failures, and their errors

Area of Science:

• Healthcare Quality
• Patient Safety Research
• Medical Error Analysis

Background:

• The term "error" in healthcare is broadly applied, encompassing adverse events, negligence, and malpractice.
• This ambiguity complicates the analysis of adverse event causes.
• A need exists for standardized definitions to improve patient safety initiatives.

Purpose of the Study:

• To outline Rush-Presbyterian-St. Luke's Medical Center's strategy for assessing and preventing medical errors.
• To promote enhanced patient safety within a healthcare setting.
• To clarify the distinctions between different types of negative patient outcomes.

Main Methods:

• Formation of a patient safety committee.
• Standardization of the definition of medical error.
• Development of a taxonomy for classifying errors.

Main Results:

• A three-level taxonomy was established: error, treatment failure, and adverse event.
• This classification system provides a framework for understanding the sequence of events leading to adverse outcomes.
• The standardized definitions aim to reduce confusion in error analysis.

Conclusions:

• Standardizing the definition of medical error is crucial for effective error reduction strategies.
• A clear taxonomy aids in differentiating between error, treatment failure, and adverse events.
• This approach facilitates a more systematic and accurate analysis of patient safety issues.