Tag Archives: Philips

Infographic: Poor Oral Health Leads To Chronic And Systemic Disease

Good oral health leads to benefits beyond a healthy mouth

People today want to be more in control of their own health and are more attuned to getting the support and information they need online, from apps, and from connected products. Yet there are gaps in both their knowledge and daily commitment to good oral hygiene, and they need help along the way. Depending on lifestage, patient’s oral health concerns can evolve from plaque removal and aesthetics to larger concerns around gum health and disease. Too often, by the time they begin thinking about gum health, it’s too late. Multiple studies have revealed linkages between periodontal diseases and certain systemic diseases, such as diabetesheart disease and kidney disease [4][5][6].

Prevention is key. Along with professional deep cleaning, good daily brushing and interdental cleaning are critical. It’s also important for patients to have regular conversations with their dentist about oral health issues and the linkage to their overall health.

Read more

Telehealth Technology: Philips “Virtual Care Station” – “High Quality, Secure, Clinical-Grade”

Philips Virtual Care Station, inspired by the VA’s ATLAS program, is a community-based telehealth solution designed to expand access to high-quality care by connecting patients and providers remotely through a secure, clinical-grade environment.

Philips Virtual Care Station - Telemedicine Video July 21 2020

Website

“2020 Philips Sleep Survey”: 50% Of People Sleep Poorly, With Decrease In Those Trying To Improve It

From a Philips “2020 Sleep Survey” online release (Mar 2, 2020):

Philips Global Sleep Survey 2020“The decrease in people taking action to improve sleep is alarming, especially when it is clear people around the world deeply value sleep. Sleep deficit impacts people both mentally and physically, so we need to educate people on available sleep resources and empower them with the confidence that their efforts will pay off,” said Mark Aloia, PhD, Global Lead for Behavior Change, Sleep & Respiratory Care at Philips.

2020-Philips-WSD-Report-page-3

Only 49% of people are satisfied with their sleep, with worry/stress reported as the most limiting factor to a good night’s sleep (33%). Interestingly, fewer people in 2020 are taking action to improve sleep compared to 2019, with nearly all listed strategies to improve sleep lower or consistent in 2020 when compared to 2019 results. For example, reading before bed was the most popular strategy used to improve sleep in 2019 (39%), but only 28% of people report reading to improve sleep in 2020. Other notable distinctions in sleep-related behavior appeared across age and gender differences.
.

Medical Technology: Mobile Ultrasound For Smart Phones Or Devices Assists In Cardiac Arrest

From a Philips.com online release:

Philips Lumify Handheld UltrasoundPhilips Lumify ultrasound technology is an important component of the mobile ECMO unit. Members of the ECMO team use Lumify for real-time visual guidance when inserting tubes in veins and arteries in a process called ECMO cannulation.

“Lumify has excellent image quality and is easy to use – it was instrumental in our first pre-hospital ECMO cannulation,” said Dr. Darren Braude.

Physicians from the University of New Mexico (UNM) and local emergency responders recently treated a cardiac arrest patient with the first ever out-of-hospital portable life-support system available in the United States.

The machine performs a function called extracorporeal membrane oxygenation, or ECMO. ECMO machines mimic a functioning heart and lungs, circulating oxygenated blood for patients who have suffered a cardiac arrest.

To read more: https://www.philips.com/a-w/about/news/archive/standard/news/articles/2019/20191119-philips-lumify-handheld-ultrasound-supports-life-saving-technology-in-pre-hospital-setting.html

Future Of Health Care: New Machine Learning System Detects Infections 48 Hours In Advance

From a Health IT Analytics online release:

Philips Machine Learning SystemThe prototype revealed that using artificial intelligence and machine learning to examine certain combinations of vital signs and other biomarkers could strongly predict the likelihood of infection up to 48 hours in advance of clinical suspicion, including observable symptoms.

Royal Philips, in collaboration with the Defense Threat Reduction Agency (DTRA) and Defense Innovation Unit (DIU) of the US Department of Defense (DoD), are building a machine learning algorithm that will be able to detect an infection before a patient shows signs or symptoms.

The partnering organizations recently announced results from an 18-month project, called Rapid Analysis of Threat Exposure (RATE), the first large-scale exploration of pre-symptomatic infection in humans. The project aims to develop an early warning system that accelerates diagnosis and treatment of infection, containing the spread of communicable disease.

To read more: https://healthitanalytics.com/news/philips-dod-build-machine-learning-system-to-detect-infection