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MUSE NX: Cardiac information management system

Connects and centralizes resting, stress, and ambulatory ECG data across care settings. Clinicians can easily access cardiac information, streamline workflows, and make confident care decisions.

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Cardiac data is everywhere.
The full picture is hard to find.

  • Pressure on clinical teams resulting from growing volumes of data, staffing constraints and rising workloads.
  • Disconnected workflows add time searching for and the risk of missing data.
  • Fragmented ECG data makes it hard to access and bring the full cardiac story together.
  • Unsecure transmission methods make practices vulnerable to compliance and regulatory issues.
cardiac-data-is-everywhere

Features built for connected ECG workflow

  • Product Feature Icon
    Centralized ECG management
    One platform for connected ECG workflows, including web access, across devices and EHRs.
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    Serial comparison
    Compare current and prior ECGs and measurements to help identify subtle changes over time.
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    Criteria based routing
    Route ECGs to the right reviewer and help prioritize urgent cases.
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    EMR-connect access
    Give clinicians access to ECGs directly within the EMR and from virtually any device.
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How MUSE NX connects ECG workflows

One connected view of ECG data across the enterprise

MUSE NX helps bring ECG data together from across the cardiac care pathway, supporting a more complete, longitudinal view of a patient’s ECG history—whether the study is captured in the ED, ICU, clinic, ambulatory setting or in transit.
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Enabling connected care, wherever the patient is.

MUSE NX helps clinicians securely access, review, and compare ECGs from virtually anywhere. Connected patient records support faster decision-making, improve emergency cardiac workflows, and provide visibility across the care continuum.
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12SL™ Algorithm

Continuously refined for 40+ years, the 12SL algorithm does more than interpret ECGs, it reveals subtle changes in waveforms over time, helps support risk prediction and is proven to improve diagnostic precision.³
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12SL™ Algorithm

Advanced ECG analysis you can trust

  • Detects subtle changes in waveforms since prior ECGs, per clinical recommendations and guidelines.
  • ST-segment accuracy you can count on. Zero Phase Distortion (ZPD) ensures consistent ST-segment interpretation across both 12-lead and rhythm ECGs.
  • Precision in pacing detection. Automatically detect bi-ventricular pacemakers, even with small signals, to ensure accurate recognition.4
  • LVH recognition that aligns with guidelines to identify key criteria and flags which criteria are positive, improving diagnostic clarity.5
  • Automated alerts for long QTc>500ms.
  • High accuracy automated measurements including amplitudes, durations and intervals.
  • Acute coronary syndrome (ACS) tool increases sensitivity for ST-Elevated myocardial infarction or acute ischemia in patients suspected of having an acute cardiac event.

Is my current system EMR compatible?

MUSE NX is compatible with GE HealthCare Resting ECG systems—including MAC VU360TM, MAC 7, MAC 5, MAC 5 Lite, and others—and integrates with Epic, and more

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References
  1. “Best Hospitals for Cardiology & Heart Surgery”, U.S. News and World Report. 2022.
    https://health.usnews.com/best-hospitals/rankings/cardiology-and-heart-surgery
  2. “World’s Best Specialized Hospitals 2022.” Newsweek.
    https://www.newsweek.com/worlds-best-specialized-hospitals-2022
  3. Marquette™ 12SL™ ECG Analysis Program Physician Guide 2056246-007.
  4. Kashou AH, Noseworthy PA, Beckman TJ, Anavekar NS, Cullen MS, Angstman KB, et al. ECG interpretation proficiency of healthcare professionals. Curr Probl Cardiol. 2023;48(10), 101924.
  5. Hancock, E.W., et al., AHA/ACCF/HRS recommendations for the standardization and interpretation of the electrocardiogram: part V: electrocardiogram changes associated with cardiac chamber hypertrophy: a scientific statement from the American Heart Association Electrocardiography and Arrhythmias Committee, Council on Clinical Cardiology; the American College of Cardiology Foundation; and the Heart Rhythm Society. Endorsed by the International Society for Computerized Electrocardiology. J AmColl Cardiol, 2009. 53(11): p. 992-1002.

    *Dr. Sevgican is a paid consultant for GE HealthCare and was compensated for participation in the interview. The statements by Dr. Sevgican described here are based on his own opinions and on results that were achieved in his unique setting. Since there is no "typical" hospital/clinical setting and many variables exist (e.g., hospital size, case mix, staff expertise, etc.), there can be no guarantee that others will achieve the same results.

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JB22321XX August 2026