News | November 08, 2006

Dräger Medical Adopts Masimo Rainbow SET as its Standard Oximetry Platform

Dräger Medical AG & Co. KG today announced that it has expanded its relationship with Masimo and will integrate Masimo Rainbow SET platform as its principal pulse oximetry technology. The Rainbow SET platform offers Masimo SET Read-Through Motion and Low Perfusion pulse oximetry plus upgradeability to add other parameters in the future. Upgrades are available today for carboxyhemoglobin (carbon monoxide) and methemoglobin and others are planned for the future. Dräger Medical will be incorporating Masimo Rainbow SET into major acute care products. For future product developments, Dräger Medical will replace its Oxisure oximetry with Masimo technology. This agreement between Dräger Medical and Masimo also constitutes a release of each other from any potential patent infringement claims relating to pulse oximetry.
Dr. Wolfgang Reim, President and CEO of Dräger Medical stated, "We are excited to be able to extend our existing relationship and again be one of the first companies to provide our customers with the latest advancements in noninvasive patient monitoring technology. Masimo SET is clearly the gold standard in motion tolerant pulse oximetry technology and with its new Rainbow Technology Masimo extends the reach of its technology to new important parameters. Dräger Medical and Masimo have enjoyed a great partnership that we are very happy to expand."
Joe E. Kiani, Chairman and CEO of Masimo stated, "We greatly value our relationship with Dräger Medical and are happy to be expanding our relationship with this new agreement. Dräger Medical's leadership in patient monitoring and therapeutic systems is well recognized by numerous customers around the world. We are delighted to see Dräger Medical taking Masimo Rainbow SET to its customers, and thereby improving care of millions of patients."

Related Content

News | Remote Viewing Systems | June 14, 2018
International Medical Solutions (IMS) recently announced that the American College of Radiology (ACR) added IMS'...
Wake Radiology Launches First Installation of EnvoyAI Platform
News | Artificial Intelligence | June 13, 2018
Artificial intelligence (AI) platform provider EnvoyAI recently completed their first successful customer installation...
How AI and Deep Learning Will Enable Cancer Diagnosis Via Ultrasound

The red outline shows the manually segmented boundary of a carcinoma, while the deep learning-predicted boundaries are shown in blue, green and cyan. Copyright 2018 Kumar et al. under Creative Commons Attribution License.

News | Ultrasound Imaging | June 12, 2018 | Tony Kontzer
June 12, 2018 — Viksit Kumar didn’t know his mother had...
Zebra Medical Vision Unveils AI-Based Chest X-ray Research
News | Artificial Intelligence | June 08, 2018
June 8, 2018 — Zebra Medical Vision unveiled its Textray chest X-ray research, which will form the basis for a future
Konica Minolta Launches AeroRemote Insights for Digital Radiography
Technology | Analytics Software | June 07, 2018
Konica Minolta Healthcare Americas Inc. announced the release of AeroRemote Insights, a cloud-based, business...
Vinay Vaidya, Chief Medical Information Officer at Phoenix Children’s Hospital

Vinay Vaidya, Chief Medical Information Officer at Phoenix Children’s Hospital

Sponsored Content | Case Study | Artificial Intelligence | June 05, 2018
The power to predict a cardiac arrest, support a clinical diagnosis or nudge a provider when it is time to issue medi
How image sharing through a health information exchange benefits patients while saving time and money is depicted in this slide shown at HIMSS 2018. Graphic courtesy of Karan Mansukhani.

How image sharing through a health information exchange benefits patients while saving time and money is depicted in this slide shown at HIMSS 2018. Graphic courtesy of Karan Mansukhani.

Feature | Information Technology | June 05, 2018 | By Greg Freiherr
A regional image exchange system is saving lives and reducing radiology costs in Maryland by improving the efficiency
Using Imaging Analytics for Radiology, VCU Health in Richmond, Va., has developed a dashboard to view turnaround time analysis. This functionality allows drill down for each technologist and radiologist and looks at the different steps of the imaging cycle.

Using Imaging Analytics for Radiology, VCU Health in Richmond, Va., has developed a dashboard to view turnaround time analysis. This functionality allows drill down for each technologist and radiologist and looks at the different steps of the imaging cycle.

Sponsored Content | Case Study | Information Technology | June 05, 2018
Sharon Gibbs, director of the radiology department at VCU Health in Richmond, Va., aims to provide quality, timely and...
PACS and the Road to Reconstruction
Feature | PACS | June 05, 2018 | By Dave Whitney and Jef Williams
The PACS — picture archiving and communication systems — have been in existence for more than 45 years. One of the...
Videos | Patient Engagement | June 04, 2018
At SIIM 2018, Alexander J. Towbin, M.D., Radiologist, Department of Radiology and Medical Imaging, Neil D. Johnson...
Overlay Init