WASHINGTON, DC - Four years into a journey as a consultant in the senior living sector, I have come to learn about the power of data collected from sensors and understand video analytics platforms. It was because of this that I first embarked upon the idea to study human behavior in a senior living setting.
Since then, I have been fascinated with video analytics and Internet of Things (IoT) sensors. There has been much progress on this front of late, with better insights and real-time data collected to make more informed decisions with minimal privacy concerns.
London-based EtherSec is a technology company that has made huge strides in the computer vision and artificial intelligence (AI) sector. The company’s products, such as A-Eye Health Care, use video cameras which are transformed into IoT sensors. These sensors are combined with wearable technology to answer previously unsolvable business problems facing the healthcare and senior living sector, generating crucial data for real-world analytics for use by administrators of facilities. The customer benefit comes from safety, contact tracing, security, financial, and operational efficiencies, and most importantly peace of mind for family members.
The senior care industry in the post COVID-19 world, I like to call Senior Living 2.0, is experiencing catastrophic staff shortages. This has seen increases in patient neglect and staff burnout, and preventable critical incidents including security breaches, breakouts, and falls. Rising costs of running facilities and an inability to serve their residents are compounded by these preventable incidents.
Companies like EtherSec solve the above challenges by empowering facilities to better care for their residents by reducing tedious tasks and workplace stress for its staff with A-Eye Health Care, by giving management and staff a holistic view into real time analytics of the facility at a glance. A-Eye Health CareThe content herein is subject to copyright by The Yuan. All rights reserved. The content of the services is owned or licensed to The Yuan. Such content from The Yuan may be shared and reprinted but must clearly identify The Yuan as its original source. Content from a third-party copyright holder identified in the copyright notice contained in such third party’s content appearing in The Yuan must likewise be clearly labeled as such.