Philips to introduce next-generation monitoring solution enabled by wearable biosensors

23/02/2016

Solution to seamlessly connect wearable biosensor, clinical decision support software and services

Medical-grade, wearable biosensor automatically and continuously measures heart rate, respiratory rate, skin temperature, single-lead ECG, posture and activity data for at-risk patients in low acuity settings in the hospital

New biosensor-enabled solution to help caregivers detect early signs of patient deterioration and intervene early

Amsterdam, the Netherlands - Royal Philips (NYSE: PHG, AEX: PHIA) today announced that it will introduce a next-generation monitoring solution for at-risk patients in low acuity hospital settings, such as the general ward. As an industry-first, the new medical-grade biosensor enabled solution demonstrates Philips continuing commitment to better addressing clinicians' and patients' needs through monitoring.

Unlike fitness trackers and consumer focused wearables, the new medical-grade, connected biosensor automatically and continuously measures clinically relevant vital signs including heart rate, respiratory rate, skin temperature and more. The biosensor then transmits the data it collects to a connected clinical decision support software application, where the software can be configured to promptly notify the appropriate caregiver or clinician when preset limits are exceeded.

Driven by Philips' strong patient monitoring heritage, we are entering the emerging growth market of mobile health enabled solutions and services, said Carla Kriwet, CEO Patient Care and Monitoring Solutions at Philips. We envision a future where patients enabled by connected health technologies will recover faster with fewer complications and greater peace of mind in the hospital and subsequently at home. We see the potential for connected sensing solutions and the value created by the rich and actionable data they generate to have a very positive impact on the chronically ill by helping to reduce associated costly adverse events, complications, unplanned transfers back to the ICU and longer lengths of hospitalization.

Philips' creation of this solution began from conversations with providers looking for rapid co-creation models to address specific issues, such as helping at-risk patients in low acuity hospital areas through recovery and transition to home care. Philips plans to introduce a portfolio of integrated solutions which will connect to analytics tools and dashboards with the goal to give clinicians actionable insights to help improve patient outcomes, reduce costs, and improve access to care.

Due to a growing aging population and a rising number of people with chronic diseases contributing to 86 percent of health care costs [1], healthcare stakeholders are seeking more cost-effective ways to monitor, diagnose and treat patients. While Philips personal health programs will help consumers develop healthier habits for life and potentially prevent illness, Philips' connected health solutions for professional healthcare applications, including the wearable biosensor, are designed to help patients in low-acuity areas of the hospital transition home.

For more information on Philips' next-generation biosensor, visit booth #3416 at the 2016 Annual HIMSS Conference & Exhibition taking place Feb. 29 - March 4 at the Sands Expo in Las Vegas, NV. For updates on Philips' presence at HIMSS, follow @PhilipsLiveFrom and visit www.philips.com/himss.

[1] Centers for Disease Control

LINK:	http://www.newscenter.philips.com/gb_en/standard/news/press/2016/20160...
	See more stories from philips

Philips to introduce next-generation monitoring solution enabled by wearable biosensors

More from Philips

14/12/2017

09/12/2017

09/12/2017

25/11/2017

25/11/2017

25/11/2017

24/10/2017

04/10/2017

18/09/2017

05/09/2017

14/08/2017

08/07/2017

06/07/2017

04/07/2017

15/06/2017

15/06/2017

15/06/2017

15/06/2017

08/04/2016

06/04/2016

07/03/2016

03/03/2016

03/03/2016

01/03/2016

25/02/2016

25/02/2016

23/02/2016

23/02/2016

23/02/2016

23/02/2016

04/02/2016

01/02/2016

26/01/2016

07/01/2016

06/01/2016

30/11/2015

18/11/2015

18/11/2015

17/11/2015

13/11/2015

10/11/2015

29/10/2015

26/10/2015

20/10/2015

15/10/2015

13/10/2015

13/10/2015

09/10/2015

02/10/2015

15/09/2015