The expansion of connected care driven by Virtual Care
- Remote patient monitoring
- Specialist care at webside
Chronic Care accounts for 50% of healthcare
Smart healthcare framework for ambient assisted living using IoMT and big data analytics techniques
A novel smart healthcare framework for AAL to monitor the physical activities. * Hadoop MapReduce and Multinomial Naive Bayes techniques are utilized. * Multinomial Naive Bayes with MapReduce provides higher scalability and performance. * 12 physical activities are recognized with an accuracy of 97. 1%.
Impact of remote patient monitoring on clinical outcomes: an updated meta-analysis of randomized controlled trials
Despite growing interest in remote patient monitoring, limited evidence exists to substantiate claims of its ability to improve outcomes. Our aim was to evaluate randomized controlled trials (RCTs) that assess the effects of using wearable biosensors (e.g. activity trackers) for remote patient monitoring on clinical outcomes.
Quantifying neurologic disease using biosensor measurements in-clinic and in free-living settings in multiple sclerosis
Technological advances in passive digital phenotyping present the opportunity to quantify neurological diseases using new approaches that may complement clinical assessments. Here, we studied multiple sclerosis (MS) as a model neurological disease for investigating physiometric and environmental signals.
Introducing the BioButton ™ for health screening and remote patient monitoring Introducing the BioButton ® medical-grade wearable solution for up to 60 days of continuous vital sign monitoring The flagship FDA-cleared BioSticker™ single-use device for up to 30 days of continuous vital signs monitoring The BioIntelliSense Data-as-a-Service (DaaS) platform and FDA-cleared BioSticker™ on-body sensor are bringing medical grade monitoring and management to the home for scalable remote care.