Philips ePatch and AI analytics platform rolled out to 14 hospitals across Spain to monitor heart patients

May 22, 2024

• Philips wearable ePatch and AI analytics platform help detect potentially life-threatening irregular heartbeats
• The solution helps University Hospital Vall d’Hebron achieve reduced average length of stay, relieve emergency room pressure, and reduce costs

Amsterdam, the Netherlands, and Madrid, Spain – Royal Philips (NYSE: PHG, AEX: PHIA), a global leader in health technology, today announced the successful nationwide rollout of its ambulatory cardiac monitoring service in Spain using its unique wearable ePatch paired with its AI-driven Cardiologs analytics platform. 14 Spanish healthcare providers across the country are now using the company’s ePatch extended wear Holter monitors to detect life-threatening heart arrhythmias such as atrial fibrillation (AF). The solution has been proven to detect heart arrhythmias missed by traditional Holter monitors, enhance patient comfort, improve care access, and potentially better clinical outcomes, in addition to reducing overall costs.

Philips’ ePatch provides reliable data for up to 14 days of continuous monitoring. When paired with Philips’ AI-driven Cardiologs analytics platform, the solution empowers the hospitals’ cardiology and neurology teams with an end-to-end solution that enhances their ability to detect and diagnose AF – a potentially life-threatening [1] cardiac arrhythmia and also the world’s most common. AF significantly increases the risk of stroke, dementia, and heart failure, yet often goes undetected due to its lack of noticeable symptoms and infrequent occurrence intervals.

"The key advantage for healthcare professionals lies in its user-friendly interface and high-quality 14-day continuous recording capabilities," said Dr. Jorge Pagola, Neurologist Postdoctoral Researcher at University Hospital Vall d'Hebron, Barcelona, Spain. "Applied as a chest patch in just a few minutes, it seamlessly integrates an analysis program, facilitating swift examination of recordings. Thanks to its AI-based analysis assistant, AF events can be classified for rapid review by our team. Patients experience enhanced comfort as they are free from cumbersome cables of the conventional Holter, allowing them to dress, shower, and carry out their daily activities without any hindrance."