Essence SmartCare Revolutionizes Aging-In-Place Healthcare Solutions
Jana Pijak — July 18, 2023 — Lifestyle
References: essencesmartcare & prnewswire
Essence SmartCare, a leader in IoT-based remote care solutions, showcased its aging-in-place and remote healthcare innovations last year's Silver Economy Expo 2022 in Paris.
The company's Care@Home platform uses machine learning to detect changes in daily routines and offers real-time alerts for timely interventions. Its MDsense feature provides non-wearable fall detection while Umbrella mPERS, a Cat-M-enabled mobile emergency response system, includes built-in fall detection and two-way voice capabilities. Moreover, its VitalOn feature offers remote monitoring and chronic disease management, allowing seniors to monitor vital signs and connect with care providers.
Essence SmartCare's technology enhances care, safety, and independence for vulnerable individuals and aims to revolutionize at-home healthcare. It does so by closely monitoring users and their safety while allowing for more independence and peace of mind.
The company's Care@Home platform uses machine learning to detect changes in daily routines and offers real-time alerts for timely interventions. Its MDsense feature provides non-wearable fall detection while Umbrella mPERS, a Cat-M-enabled mobile emergency response system, includes built-in fall detection and two-way voice capabilities. Moreover, its VitalOn feature offers remote monitoring and chronic disease management, allowing seniors to monitor vital signs and connect with care providers.
Essence SmartCare's technology enhances care, safety, and independence for vulnerable individuals and aims to revolutionize at-home healthcare. It does so by closely monitoring users and their safety while allowing for more independence and peace of mind.
Trend Themes
1. Iot-based Remote Care Solutions - Opportunity for companies to develop innovative IoT-based solutions for remote care, enhancing the safety and independence of vulnerable individuals.
2. Machine Learning in Aging-in-place Healthcare - The integration of machine learning algorithms opens doors for predictive analysis and timely interventions in aging-in-place healthcare, offering disruptive innovation opportunities.
3. Non-wearable Fall Detection Technology - Development of non-wearable fall detection technologies provides disruptive innovation opportunities in remote care and at-home healthcare for the elderly.
Industry Implications
1. Healthcare Technology - Healthcare technology companies can leverage IoT and machine learning to create innovative solutions for remote aging care and at-home healthcare.
2. Senior Care Services - The senior care industry can adopt non-wearable fall detection technologies and remote monitoring solutions to provide better care and ensure the safety of their clients.
3. Iot Device Manufacturers - Manufacturers of IoT devices can explore the development of specialized devices for remote care, such as non-wearable fall detection systems and remote monitoring devices for vital signs.
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