Enhancing laboratory quality through comprehensive risk management and process analysis.

Area of Science:

• Clinical Laboratory Science
• Quality Management in Healthcare
• Medical Diagnostics

Background:

• Laboratory errors significantly impact patient safety and clinical decision-making.
• Existing quality systems have limitations in preventing laboratory process errors.
• Limited research exists on integrating Failure Mode and Effects Analysis (FMEA) with Sigma metrics for laboratory risk assessment.

Purpose of the Study:

• To assess laboratory errors using a combined Failure Mode and Effects Analysis (FMEA) and Sigma metrics approach.
• To identify and prioritize failure modes within a NABL-accredited tertiary care hospital laboratory.
• To evaluate the effectiveness of corrective actions in reducing laboratory errors and improving Sigma metrics.

Main Methods:

• A retrospective observational study over 2.5 years utilizing FMEA to identify errors in the total testing process.
• Calculation of quarterly error rates, conversion to defects per million (DPM), and expression as Sigma metrics.
• Risk Priority Numbers (RPN) calculated quarterly to prioritize failures, with pre- and post-intervention Sigma values compared.

Main Results:

• Twenty-three error types were identified, with haemolysed samples, clotted samples, and non-intimation of critical values having the highest Risk Priority Numbers.
• Significant reductions were observed in haemolysed samples (0.97% to 0.49%) and clotted samples (0.24% to 0.06%).
• A decrease in non-intimation of critical values was noted (2.63% to 2.18%), though not statistically significant (p=0.065).

Conclusions:

• The integration of FMEA with Sigma metrics offers a powerful framework for systematic identification, prioritization, and reduction of laboratory errors.
• Continuous monitoring and implementation of corrective actions are crucial for sustaining laboratory quality improvements and enhancing patient safety.
• This combined approach demonstrates potential for robust risk management in clinical laboratory settings.