Plain-radiographic image labeling: a process to improve clinical outcomes

Area of Science:

• Radiology and Medical Imaging
• Healthcare Quality Improvement
• Patient Safety

Background:

• Accurate labeling of plain-film radiographs is crucial for correct diagnosis and patient care.
• Previous labeling processes were prone to errors, including incorrect patient identification and marker placement.
• These errors can lead to misdiagnosis and compromised patient safety.

Purpose of the Study:

• To quantify the rate of film-labeling errors in plain-film radiography.
• To implement and evaluate a process improvement initiative aimed at reducing these labeling errors.
• To assess the clinical outcomes associated with improved image labeling.

Main Methods:

• A baseline audit of 2,536 consecutive plain-film radiographs identified common labeling errors.
• A process improvement initiative was developed using failure mode and effects analysis.
• Improvements included larger, color-coded lateral markers, automated demographic labeling, and patient verification. Error rates were reassessed on 2,421 radiographs.

Main Results:

• The initial error rate for plain-radiographic labeling was 2.4% (62 of 2,536 images).
• Following the implementation of improvement strategies, the error rate decreased significantly to 0.70% (17 of 2,421 images).
• This reduction in errors was statistically significant (P < .001).

Conclusions:

• Plain radiographic image labeling accuracy can be substantially improved through targeted interventions.
• Utilizing barcode technology for patient demographics and enhancing lateral marker visibility are key strategies.
• Direct patient verification of demographic information is essential for maintaining labeling accuracy.