Datalogic Memor 17 Healthcare mobile computer has been officially approved by Epic for use with its Rover clinical mobile application.
System integrators, resellers and hospital IT departments now have access to a complete package for clinical applications: Epic Rover plus a healthcare-specific, high-performance mobile computer.
Epic Rover allows healthcare professionals to record documentation and conduct barcode validation at the
Source: Datalogic point of care, typically the patient bedside. The application relies on barcode scanning technology to verify the patient, medication and dose.
Datalogic’s most advanced healthcare-grade mobile computer, Memor 17 HC, is a great fit for the Epic Rover application thanks to the performance of the advanced DL2121 scan engine and the multi-side NFC reader. To ensure adequate inter-operability and compatibility, Epic tested the embedded scan engine of the Memor 17 HC prior to approving it for Epic Rover use.
“Offering enterprise-grade power in a pocket-sized design, our Memor 17 HC mobile computer combined with Epic Rover ensures better care through the prevention of medication errors and patient misidentification,” said Rosario Casillo, data capture product and solutions executive VP at Datalogic. “Resellers, system integrators and healthcare facility IT teams involved in expansion or replacement projects can now tap into the benefits of our high-performance Memor 17 HC safe in the knowledge of its ‘approved’ status.”
The full-touch Memor 17 HC with fast, easy scanning and uninterrupted coverage helps front-line healthcare professionals deliver the highest standards of patient safety, data access and workflow efficiency. Clinicians can make informed decisions in real time and complete tasks more quickly to spend more time with patients at the point of care.
Designed specifically for the healthcare market, the Memor 17 HC can withstand repeated disinfection. Moreover, the use of Datalogic’s proprietary Green Spot technology provides important market differentiation with its highly visible, silent good-read feedback in quiet patient care areas like neonatal wards or intensive care units.
