Error tracking in a clinical biochemistry laboratory.

Area of Science:

• Clinical Laboratory Science
• Healthcare Quality Improvement
• Patient Safety

Background:

• Systematic error recording in a standard clinical laboratory was conducted over one year.
• Data collection involved all laboratory personnel using a commercial database program.

Purpose of the Study:

• To systematically record and analyze errors occurring within a clinical laboratory setting.
• To identify the types, sources, and frequency of laboratory errors.

Main Methods:

• Errors were classified by testing process function and type (pre-analytical, analytical, post-analytical, service-related).
• Sample sources included hospital wards, outpatient clinics, general practitioners, and other hospitals.
• Error data was categorized into descriptive subgroups.

Main Results:

• 1189 errors were reported in 1151 reports, with an error rate of 1 per 142 patients or 1 per 1223 tests.
• Human errors constituted the majority (82.6%), with technical errors being infrequent (4.3%).
• Pre-analytical errors were most common (81%), followed by analytical (10%), post-analytical (8%), and service-related (1%).

Conclusions:

• Clinical laboratories should implement structured error recording systems.
• Relational databases are effective tools for managing and analyzing laboratory error data.
• Understanding error patterns can guide quality improvement initiatives.