Development of Statistical Software for the Korean Laboratory Accreditation Program Using R Language: LaboStats

Area of Science:

• Clinical Laboratory Science
• Biostatistics
• Medical Informatics

Background:

• The Korean Laboratory Accreditation Program (KLAP) mandates rigorous verification of clinical test performance.
• Manual verification processes are recognized as time-consuming and labor-intensive.
• There is a need for efficient tools to meet KLAP standards.

Purpose of the Study:

• To develop a free, user-friendly statistical software program to assist laboratories in meeting Korean Laboratory Accreditation Program (KLAP) verification requirements.
• To reduce the time and labor associated with manual clinical test performance verification.

Main Methods:

• The software, named LaboStats, was developed using the R language.
• Graphic user interfaces were implemented using Embarcadero Delphi EX4 for intuitive data input.
• Statistical and graphical procedures were performed using R Base Package and the MCR Package for Method Comparison Regression, adhering to CLSI guidelines.

Main Results:

• LaboStats features six distinct modules: parallel testing, linearity, method comparison, precision, reference interval, and cutoff analysis.
• The software facilitates data entry via manual input or direct copying from MS Excel.
• Users can generate comprehensive and precise reports for documentation purposes.

Conclusions:

• LaboStats offers a valuable solution for evaluating clinical test performance characteristics.
• The software aids laboratories in efficiently preparing the necessary documentation for KLAP accreditation.
• LaboStats enhances the efficiency and accuracy of quality control in clinical testing environments.