To err is human: improving patient safety through failure mode and effect analysis

Area of Science:

• Medical error analysis
• Laboratory quality management
• Patient safety science

Background:

• Laboratory errors are a significant concern in patient care.
• Traditional error prevention focuses on individual performance, assuming technologists perform flawlessly with training.
• Existing laboratory processes often assume no failures will occur.

Purpose of the Study:

• To introduce Failure Mode and Effect Analysis (FMEA) as a novel method for laboratory error prevention.
• To highlight the importance of proactive error identification in enhancing patient safety.
• To advocate for a shift from reactive to proactive error analysis in healthcare settings.

Main Methods:

• Failure Mode and Effect Analysis (FMEA) is presented as a systematic, multidisciplinary approach.
• FMEA operates on the principle that failures are inevitable and often beyond individual control.
• The methodology involves anticipating potential failures and their effects to implement preventive measures.

Main Results:

• FMEA provides a proactive framework for identifying potential failure points in laboratory processes.
• This systematic approach moves beyond blaming individual errors to understanding systemic weaknesses.
• Implementing FMEA can lead to improved laboratory processes and enhanced patient safety.

Conclusions:

• Failure Mode and Effect Analysis (FMEA) is a valuable tool for proactive error prevention in clinical laboratories.
• Adopting FMEA can significantly contribute to improving patient safety by addressing systemic vulnerabilities.
• Healthcare organizations, including those accredited by the Joint Commission, should consider FMEA for process improvement.