Simple data-mining algorithms can be applied to point-of-care testing (POCT) data to document compliance of quality control, operator training and to identify potential preanalytical errors. Data can be manipulated to automate manual review and other laborious processes for identifying data trends, verifying...

Point-of-care testing provides rapid laboratory diagnostics close to the site of care. Quality assurance of POCT, however, requires significant resources that should be matched with improved patient outcome and benefit. Application of evidence-based medicine to POCT can critically assess the medical effectiveness of...

Point-of-care testing (POCT) is a delivery option for performing laboratory testing closer to the patient. Due to increasing healthcare pressures for faster turnaround of laboratory results and the development of a broader menu of testing devices, POCT is growing in popularity. Devices today are more portable,...