EKF Diagnostics has launched its new EKF Link digital connectivity solution for the secure management of point-of-care (POC) analysers and associated data on one centralised platform.
An open, flexible solution, EKF Link middleware can be interfaced to all vendors’ POC analysers, including EKF’s own portfolio, to enable real-time remote management of data, such as patient test results, QC results, operator management and analyser configuration.
EKF’s portfolio of POC diagnostic devices includes Hemo Control and DiaSpect Tm haemoglobin analyser ranges, as well as Quo-Lab and Quo-Test HbA1c analysers. All of these can now be digitally connected from anywhere and securely accessed remotely at any time using EKF Link, thereby enhancing their capabilities.
EKF Link is a downloadable software package that allows POC analysers to connect to a hospital or laboratory’s IT system, enabling data transfer from these remote analysers for subsequent processing. This provides hospitals, laboratories and clinicians with the functionality to manage and evaluate their patient and operator data easily and securely.
Owing to its simple set-up, intuitive interface and user-friendly graphics, EKF Link can be implemented successfully in multiple situations wherever POC analysers are deployed. For example, in addition to hospitals and laboratories, the flexible connectivity solution can also be used effectively in doctor’s offices, clinics, pharmacies and blood banks.
Safely and securely connecting POC analysers via EKF Link enhances their functionality. As it can network multiple analysers, EKF Link provides the functionality for the remote configuration and status checking of them all from one central location. With just a few clicks, remote operators can capture patient information, perform a QC test, lock-out unauthorised users and transfer information directly into the LIMS. In addition, test results can be reviewed in tables and charts to check integrity, and report management functions enable these results to be exported as PDF or CSV files.
