Earn 10 ACCENT® continuing education credits and a certificate of completion for successfully completing the program before the access end date.
The program is composed of seven courses, listed below. Each course can be completed online in approximately 1-2 hours and contains a lecture, slides and transcripts, and a quiz. Some include recommended readings. Communicate questions or comments using the program discussion board.
- Overview and Basic Principles of Quality Control
- Establishing QC Parameters for a Test Procedure
- Using QC to Assess the Performance of a Test Procedure
- Frequency to Measure QC Samples
- Responses to Out of Control Situations
- Review of QC Data
- External Quality Assessment/Proficiency Testing
Certificates of completion are awarded online upon successful completion of the program. Graduates are recognized on a register located on the certificate program web page.
Please note that the completion of an online certificate program should be listed within the education section of a resume or CV. It is not equivalent to completing a board certification process.
Speaker Presentation Description
This program focuses on the principles and applications of good statistical quality control (QC) practices. Its aim is to explain how QC works, explain what errors interpretive rules are designed to detect, and suggests appropriate investigations for QC failures. Minimal mathematical or statistical theories are presented, as the emphasis is on practical and implementable practices and an explanation of why these practices are suggested.
The content is primarily geared towards laboratory supervisors, managers and technologists in clinical laboratory settings. Trainees in laboratory medicine and laboratory directors may also benefit from this program.
Participants who complete this certificate program will be able to:
- Apply appropriate statistical QC practices to monitor the performance of test procedures
- Select suitable QC materials, and establish reliable target values and control limits
- Describe common QC rules and implement rules suitable to assess performance and identify errors in a test procedure
- Determine the appropriate frequency to measure QC samples based on four key QC scheduling practices
- Establish protocols for responding to QC rules failure
- Establish protocols for review of QC data and for using the data for quality improvement recommendations
- Explain how to interpret Proficiency Testing results to identify test procedure improvement opportunities
Quality control topics not expressly covered in this certificate program are: an Individual Quality Control Plan (IQCP), control processes that may be "built in" to a measurement system, preparing in-house QC material, using patient results as a QC parameter, or assessing if a measurement procedure is fit for its intended use in clinical care.
These expert faculty and educators contributed to the program development:
- Greg Miller, PhD, DABCC, Program Chair
Virginia Commonwealth University, Richmond, VA
- Nikola Baumann, PhD, DABCC
Mayo Clinic, Rochester, MN
- David G. Grenache, PhD, DABCC, FACB
University of Utah & ARUP Laboratories, Salt Lake City, UT
- M. Laura Parnas, PhD, DABCC, FACB
Sutter Health, Livermore, CA
- Curtis Parvin, PhD
Bio-Rad Laboratories, El Paso, TX
Developed in cooperation with the AACC Management Sciences and Patient Safety Division, and is supported by Bio-Rad Laboratories.
Speaker Presentation Title