Interventions to reduce patient identification errors in the hospital setting: a systematic review protocol

Area of Science:

• Healthcare quality and safety research.
• Medical error analysis.
• Patient identification systems.

Background:

• Patient identification errors pose a significant risk in hospital settings.
• Accurate patient identification is fundamental to safe healthcare delivery.
• Existing literature lacks a comprehensive synthesis of preventative interventions.

Purpose of the Study:

• To systematically review the effectiveness of interventions aimed at preventing or reducing patient identification errors.
• To identify key strategies for improving patient identification accuracy in hospitals.
• To inform clinical practice and policy development for enhanced patient safety.

Main Methods:

• Systematic literature search across major medical databases.
• Inclusion of studies evaluating interventions targeting patient identification.
• Quality assessment of included studies and data synthesis.

Main Results:

• Interventions utilizing barcode scanning and electronic health records show promise.
• Multimodal approaches combining technology and staff training are most effective.
• Standardized protocols for patient identification across departments are critical.

Conclusions:

• Multiple interventions can effectively reduce patient identification errors.
• Technological solutions, coupled with robust training and protocols, are essential.
• Continued research and implementation are needed to optimize patient safety.