![]() ![]() ![]() ![]() This number comes from the physician and uses his/her diagnosis cutoffs as a way to figure out the level of quality needed in a method. Or that number could be in the form of a clinical decision interval (D int), which is a gray zone of interpretation for patient treatment. That number could be in the form of a total allowable error (TE a), such as the CLIA proficiency testing criteria for acceptable performance. Sounds simple, doesn't it? But when I ask the laboratory professionals 'What quality is needed for a test?' The answer is seldom a numeric or quantitative definition of the quality requirement. Quality management begins with the knowledge of the quality that needs to be achieved. Define the quality that is needed for each test. QC needs to be done right from the start. If your QC software is doing things wrong, no amount of effort on your part can correct for those problems. It's important to understand the problems (worst practices) in order to implement proper solutions (best practices). Now that we've cleared the air about the 'worst practices', it's time to talk about 'best practices' for doing QC right. A quality assurance program, training and quality control. 4 Basic Lessons in Laboratory Quality Control Foreword. In a previous discussion, we described some of the involving the improper implementation and interpretation of 'Westgard Rules' by instruments, LIS devices, and data workstation QC software.So we've catalogued some of the worst abuses of 'Westgard Rules.' What about the best uses? What's the best way to use 'Westgard Rules' - and When, Why, How and Who, too? Here is a list of 12 practices to make your use of 'Westgard Rules' better. ![]()
0 Comments
Leave a Reply. |
AuthorWrite something about yourself. No need to be fancy, just an overview. ArchivesCategories |