Practical Approaches to Quality Control in the Clinical Laboratory Certificate Program
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 are awarded online upon successful completion of the program. Graduates are recognized on a register located on the certificate program web page.
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
This program is sponsored by the AACC Management Sciences and Patient Safety Division, and is supported by Bio-Rad Laboratories.
Open Enrollment until December 31, 2014
Program Access from April 14, 2014 until July 15, 2015
Fee: $200 AACC Member/$400 Non-member
Course Number: 9113
10 ACCENT® continuing education credits
- If you purchase the program on our website, processing is immediate and the login information will be on your AACC Web Orders confirmation email.
- If you purchase the program over the telephone, order processing will take 3-4 business days. Access information will be emailed to you upon enrollment.
- If you purchase the program via US Post or fax, please allow 2 weeks for order processing.
- Haven't received your access information? Please contact AACC Customer Service.
ACCENT® credit is offered. AACC is an approved provider of continuing education for clinical laboratory scientists in the states of California, Florida, Louisiana, Montana, Nevada, North Dakota, Rhode Island, and West Virginia.