- 3 min read
The Compact 5000 series, part of the Philips family of ultrasound systems, is available for use in obstetrics and gynecology. This portable compact system has multiple capabilities such as premium image quality, full array of system-compatible transducers, advanced features and superb user workflow. This article provides an overview of Perinatal Associates of New Mexico's (PANM) experience with clinical evaluations of the image quality, features and performance of the Compact 5000 series in our Maternal-Fetal Medicine (MFM) practice.
At-a-glance:
- Partner
- As the largest MFM practice in New Mexico, PANM is a leading perinatal provider and is known for its exceptional patient care and plays a leading role in the MFM field
- Challenge
- PANM completed an extensive evaluation of the Philips Compact 5000 across the practice’s outpatient offices and within the hospital inpatient setting on labor and delivery and the antenatal unit.*
- Solution
- The Compact 5000 series pushes the capabilities of ultrasound in its provision of high-quality imaging, advanced technological features, simplistic user interface and enhanced connectivity.
- Results
- The clinical evaluation and ongoing experience found that the Philips Ultrasound Compact 5000 series represented a significant leap forward in compact, uncompromising, portable ultrasound.
Featuring
Michael S. Ruma
MD, MPH
Maternal-Fetal Medicine
Perinatal Associates of New Mexico, Albuquerque, New Mexico, USA
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Michael S. Ruma, MD, MPH, joined PANM in 2008 after completing his fellowship training in maternal-fetal medicine at UNC Chapel Hill. He also received his MPH in Health Policy and Administration from the School of Public Health at the University of North Carolina and is the current president of PANM
Uncompromised imaging, features and workflow in a premium compact ultrasound system
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Disclaimer
* The evaluation of the Compact 5000 series at PANM was conducted under institutional review board approval provided by the WCG (WIRB Copernicus Group) IRB.
Results from case studies are not predictive of results in other cases. Results in other cases may vary.