Sysmex Partners with Laboratories to Deliver Improved QC Management
Sysmex America has announced its latest innovation: a way to make quality assurance easier and more risk free than manual quality control processes. “Sysmex is well known for the innovation that it delivers to the laboratory. BeyondCareSM Quality Monitor elevates quality assurance processes to a new level with automated, continuous monitoring and guidance in an easy-to-use framework,” said Ralph Taylor, chief executive officer.
BeyondCare Quality Monitor is a web-based quality control and calibration verification management program that uses evidence-based quality control targets and peer group analytics to improve error detection and minimize false rejection of control results - potentially saving both time and money for the laboratory. The managed QC and calibration program has the potential to identify shifts and trends in QC weeks sooner than traditional methods. Continuous calibration verification occurs every time the QC is analyzed as opposed to every 6 months, further streamlining the error detection process. Reports are integral to the application, so documentation is easier and there is less paper to print and file.
“Sysmex is excited to bring this innovation to the laboratory industry. BeyondCare Quality Monitor eliminates the repetitive and time-intensive nature of quality assurance. One look at the screen and the technologist will see if all is well or if QC has exceeded its target – it’s all there in green, yellow and red,” said Andy Hay, chief operating officer. “This simplifies a critical component of delivering accurate patient results,” said Hay. Additional troubleshooting guidelines provided on screen will also assist in resolution.
BeyondCare Quality Monitor will be standard on the new line of Sysmex XN-L™ automated hematology analyzers available in the United States. There are plans to extend the new service to other XN-Series™ hematology analyzers in the future.
Computer Program Helps Find Ways to Repurpose Existing DrugsNews
Researchers have developed a computer program to find new indications for old drugs. The computer program, called DrugPredict, matches existing data about FDA-approved drugs to diseases, and predicts potential drug efficacy.READ MORE
Big Data From Social Media Helps Combat Prescription Drug CrisisNews
Researchers have conducted a critical review of existing literature to determine whether social media big data can be used to understand communication and behavioral patterns related to prescription drug abuse.READ MORE
Machine Learning: Helping Determine How a Drug Affects the BrainNews
Machine learning could improve our ability to determine whether a new drug works in the brain, potentially enabling researchers to detect drug effects that would be missed entirely by conventional statistical tests, finds a new UCL study published today in Brain.READ MORE