Sep 25, 2025 | 2 minute read
Amsterdam, the Netherlands – Royal Philips (NYSE: PHG, AEX: PHIA), a global leader in health technology, today announced that it has entered a national partnership in the USA with Optum Healthcare. The inclusion of Philips’ Mobile Cardiac Telemetry (MCOT) and Philips Extended Holter (ePatch) in the network is designed to enable earlier detection of cardiac conditions and timely clinical intervention. By expanding access to advanced cardiac ambulatory monitoring services for Optum members and streamlining the patient referral process, this collaboration supports proactive care and improved patient outcomes. Philips’ industry-leading solutions are now available to Optum Healthcare’s 3.4 million members in 22 U.S. states.
The access to Philips technology within the network offers several significant benefits for patients, providers and payers:
These components are crucial in managing chronic conditions effectively.
Today marks a great step forward in Philips’ ability to reach even more patients and help them receive the care they deserve.
“Today marks a great step forward in Philips’ ability to reach even more patients and help them receive the care they deserve,” said Julia Strandberg, Chief Business Leader, Connected Care, at Royal Philips. “As a preferred in-network provider, Philips’ cardiac ambulatory monitoring services empower primary care physicians and cardiologists with actionable data that enables them to build stronger collaboration across care teams and can ultimately improve patient outcomes.”
Through this partnership with Optum, Philips is expanding access to its MCOT and ePatch cardiac monitoring solutions across commercial, Medicare, Medicare Advantage or Managed Medicare, and Medicaid plans. These wearable technologies empower clinicians with insights to accelerate clinically smart cardiac care [1], while enabling patients to maintain their daily routines with confidence. This collaboration helps to support providers in delivering efficient care and helps payers advance value-based models.
Sources [1] Data on file.
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