Benefits

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Benefits

How it works

Industry Insights

Customer Stories

Technical Specs

Contact Sales

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.

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.

Features built for connected ECG workflow

Centralized ECG management

One platform for connected ECG workflows, including web access, across devices and EHRs.
Serial comparison

Compare current and prior ECGs and measurements to help identify subtle changes over time.
Criteria based routing

Route ECGs to the right reviewer and help prioritize urgent cases.
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.

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

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.

Expert insights on connected ECG workflows

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AI and ECG Interpretation: The next era of cardiology starts here

How validated interpretation and AI are reshaping the ECG into a sharper, earlier signal for care.

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Digital EKG workflow in the emergency department – clinical perspectives

Hear experts discuss digital ECG workflows in emergency care from the MUSE User Group Meeting 2026.

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Research highlights from Academia

In this American College of Cardiology webinar, Dr. Gay and Dr. Ng go over research highlights in Academia

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Is my current system EMR compatible?

MUSE NX is compatible with GE HealthCare Resting ECG systems—including MAC VU360^TM, MAC 7, MAC 5, MAC 5 Lite, and others—and integrates with Epic, and more

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Customer experience using MUSE NX

Hear how clinicians at Semmelweis University, Budapest, Hungary are using MUSE NX to eliminate repeat scans and more

Customer experience using MUSE NX

Technical specifications

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CPU

Server memory

Server hard drive(s)

Server media drive

Server network card

Security and privacy for enterprise ECG data

Authentication

Authorization

Encryption

Directory integration

References

“Best Hospitals for Cardiology & Heart Surgery”, U.S. News and World Report. 2022.
https://health.usnews.com/best-hospitals/rankings/cardiology-and-heart-surgery
“World’s Best Specialized Hospitals 2022.” Newsweek.
https://www.newsweek.com/worlds-best-specialized-hospitals-2022
Marquette™ 12SL™ ECG Analysis Program Physician Guide 2056246-007.
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.
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

MUSE NX: Cardiac information management system

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

Features built for connected ECG workflow

How MUSE NX connects ECG workflows

One connected view of ECG data across the enterprise

Enabling connected care, wherever the patient is.

12SL™ Algorithm

Expert insights on connected ECG workflows

Is my current system EMR compatible?

Customer experience using MUSE NX

Technical specifications

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Have a question? We’d love to hear from you.

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