
Explore core quality concepts, including ISO definitions and the distinction between internal and external quality control, to ensure reliable, timely test results.
Use internal quality control materials that resemble human samples at clinically significant levels, tested like patient samples, to validate reliability and monitor testing conditions.
Reconstitute freeze-dried quality control material with manufacturer-specified diluent, dissolve completely after standing 30 minutes and mixing as directed, then aliquot and store at minus 30 degrees Celsius per instructions.
Learn to test quality control material like patient samples, set acceptance criteria from kit inserts, and build a quality control plan with daily controls and at least 20 data points.
Explore how accuracy and precision define quality control reliability by comparing measurements to the true value, using bias, mean, standard deviation, and coefficient of variation to monitor control limits.
Plot the L-J chart for internal quality control, compute mean and standard deviation from twenty QC values, and apply Westgard rules to accept or reject results.
Identify root causes of internal quality control outliers, apply appropriate corrective actions, and document decisions to keep testing within tolerance and ensure reliable results.
Review internal quality control data at regular intervals to detect trends, identify outliers, and implement corrective and preventive actions, ensuring stable testing and timely maintenance.
This is a complete course on internal quality control in clinical laboratory. This course is targeted towards post graduate students of biochemistry, microbiology, and pathology. This course is also useful for medical laboratory professional and technical staff working the medical laboratories. This course is designed considering the beginners, intermediate as well as expert in the fields of clinical laboratory. This course includes the type of Quality Control material, Storage of Quality control material, reconstitution of Quality Control material. Here we have also included Statistics with respect to Internal Quality Control as well as L-J chart, Westgards Rule for analysis of internal quality control testing, Troubleshooting of Internal Quality Control Outliers and Internal Quality Control Data Review. This course also includes some of the important terminologies use in internal quality control such as accuracy, precision and bias. This course will be helpful to upgrade the knowledge in the field of clinical laboratory. Complete this course and get certified. Quality Control (QC) is defined as the process of detecting analytical errors to ensure both reliability and accuracy of the data generated. QC can be used to ensure the equipment is functioning properly, the reagents are good, and the technician is skilled at the analysis. QC involves a statistical evaluation of data and the use of quality control materials.