A new quantitative method for determining patient risk for reusable medical device categorization based on using and...

Area of Science:

• Biomedical Engineering
• Infection Control
• Medical Device Design

Background:

• Reusable medical device cleaning presents significant challenges impacting patient safety.
• Fluid dynamics are crucial for effective cleaning agent distribution, influenced by device design.
• Complex geometries can hinder contaminant removal, increasing patient contamination risks.

Purpose of the Study:

• To develop a quantitative risk assessment method for reusable medical devices.
• To identify device features that pose the greatest cleaning challenges.
• To establish a risk scoring system for evaluating cleaning effectiveness.

Main Methods:

• Evaluated 23 device features under challenging cleaning conditions to determine failure points in fluid dynamics and soil retention.
• Assigned risk values based on experimental results and associated compound risks.
• Calculated total quantitative risk scores using a 14-question framework on device variability and patient use, incorporating Kremer's cleaning categories.

Main Results:

• Risk scores categorize devices into minimal (<18), moderate (18-39), and maximal (≥40) risk levels.
• The 'hardest to clean' feature approach served as the base for risk value assignment.
• Patient risk values were derived using Kremer's cleaning categories.

Conclusions:

• This quantitative assessment facilitates targeted interventions for effective risk mitigation in medical device cleaning.
• The Kremer cleaning classification can enhance disinfection and sterilization protocols.
• Implementing this approach improves the safety of cleaning reusable medical devices.