The GE MAC 5 Resting ECG Machine is designed to keep you moving forward and keep the focus on patient care. This ECG machine features an 8.9-inch touchscreen, a compact design for easy transportation and built-in PDF/XML export for fast data transfer.
Additionally, the MAC 5’s smart design accommodates your workflow, helping improve user experience and reducing workplace injuries. With proven acquisition architecture and tools, the GE Mac 5 Resting ECG Machine enables ECG professionals of all skill levels to acquire accurate, detailed clinical data to support effective patient care.
The MAC 5 was designed so you can focus on patient care. Even when confronting high patient volumes and complex cases, your team now has the power to care for more patients, more efficiently and effectively than ever. 8.9-inch touchscreen Smart Lead technology – Automatically detect when a lead has become disconnected Auto-ECG3 algorithm – Immediately capture and display the first clean, high-quality ECG Enhanced Hookup Advisor™: Even the newest user can be guided to a clean, high-quality waveform in just seconds Over 200 scientific references – Marquette 12SL has been validated extensively against clinically-correlated databases for accuracy Full Disclosure – Accelerate reading and review with a condensed full-disclosure rhythm report capable of reducing 30 pages to three Optimal mobility – MAC 5’s convenient carry handle and compact design make it easy to move around your facility and between locations Built-in PDF/XML export support3 – In just a few clicks, send data in your preferred format to a shared folder or SFTP destination of your choice Advanced algorithms – Handle more complex patient cases through access to algorithms such as Critical Values and Acute Coronary Syndrome Analysis Bidirectional HL7 and DICOM communication4 – Connect to your systems with confidence via our MUSE™ cardiology information system or your EMR/DICOM gateway Gender- and pediatric-specific interpretations – 12SL has been shown to provide a 25% relative improvement in detection of Acute Inferior MI in women under 60 years of age
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