Code S: Redesigning Hospital-Wide Peer Review Processes to Identify System Errors

Area of Science:

• Healthcare Quality Improvement
• Patient Safety Research
• Medical Error Analysis

Background:

• Hospital medical errors leading to patient harm are often systemic failures.
• Existing methods like incident reporting have significant under-reporting issues.
• Effective tools for identifying system errors in hospitals are lacking.

Purpose of the Study:

• To introduce and evaluate the "Code S" designation as an innovative method for identifying system errors within physician peer review.
• To quantify the types and frequency of system errors identified through the Code S designation.
• To assess the potential for broader adoption of Code S in healthcare organizations.

Main Methods:

• Retrospective review of physician peer review cases from January 2008 to December 2011.
• Implementation of the "Code S" designation to flag system errors contributing to adverse outcomes.
• Categorization of system errors using a modified 5M model adapted for healthcare.

Main Results:

• The Code S designation identified 204 system errors that may have otherwise gone undetected.
• Analysis revealed specific types and patterns of system errors within the reviewed cases.
• The modified 5M model effectively categorized healthcare-related system errors.

Conclusions:

• The Code S designation is a valuable addition to physician peer review for uncovering system errors.
• This method can help healthcare organizations identify, quantify, and categorize system errors more effectively.
• Adoption of Code S can drive hospital-wide process improvements to enhance patient safety and reduce medical errors.