Products / Software / Iatric MobiLab Software
Iatric Systems HealthCare Software
MobiLab® Specimen Collection and Phlebotomy Software
MobiLab® brings positive patient identification, positive specimen identification and specimen label printing to the bedside. By utilizing wireless handheld and printer technology at the bedside, MobiLab® is designed to reduce patient identification and specimen labeling errors, while increasing the productivity of your phlebotomy and nursing staff.
Barcode technology is used to positively identify a patient by scanning their wristband. The phlebotomist is also required to confirm a secondary identification method in order to complete the Positive Patient ID process. Next, a label is generated at bedside through the use of portable barcode label printers to collect each specimen. This helps eliminate errors associated with sorting preprinted labels for multiple patients. After specimen collection and labeling, the patient's wristband is scanned again to confirm that specimen labels affixed to the tubes match.
Users collect samples in the order indicated on their screen, which also tells them which color tube to use and any special handling instructions such as whether specimens need to be kept warm or packed in ice, increasing staff efficiency and productivity.
MobiLab integrates with your Laboratory Information System to eliminate additional data entry.
MobiLab Mobile Computers:
Motorola MC55 Mobile Computer
The MC55 is a pocket-sized rugged device providing voice communication and a real-time connection to patient information, medical databases and hospital applications.
Download a datashhet for Motorola MC55 Mobile Computer.
MobiLab Mobile Label Printer:
Zebra QL220 Plus
The compact, lightweight QL 220 Plus direct thermal mobile printer offers the rugged construction, user-friendly options, and flexible QuickLink connectivity. The QL 220 prints specimen labels at the point of collection, and also prints a barcoded label for the patient’s chart, reducing the risk for dangerous misinformation.