Remove tag pain-management-wearable
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Hospital at Home: Prospects and Challenges, and Learnings from Best Buy Health

Health Populi

The first graphic shown here illustrates the authors’ view on the digital evolution of HaH from delivery of care (migrating from in-person to fully virtual), telecomms (from telephone to embedded HIPAA-compliant video conferencing), and remote monitoring, moving from patient-reported data of vital signs to wearable sensors.

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Key trends expected to shape Pain Management and Adherence markets in 2024 and beyond

Lloyd Price

Exec Summary: The pain management market is experiencing exciting growth, driven by several key trends: Increased Demand: Chronic pain prevalence: Chronic pain affects a significant portion of the population, with an aging demographic further increasing demand. The global pain management market is expected to reach $3.3

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CES 2023: Ten New Technologies for Older Adults

Aging in Place Technology Watch

M anufacturer of AI-driven behavioral health coach and wearable electroceutical device created to dock with smart clothing for the home-based and remote treatment of sports injuries, chronic illness & chronic pain. Touchpoints Digital Health wearable. " Learn more from press release. Healables. "M Learn more. Learn more.

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AARP's AgeTech Collaborative -- mobility offerings 2023

Aging in Place Technology Watch

6Degrees’ award-winning revolutionary wearable, MyMove, enables people with dexterity loss gain independence via touch-free control of smart devices. Our fashionable smart wearable translates motion into commands (swipe, zoom, point, etc.) while its embedded AI adapts to individual capabilities (range, tremor, etc.)." Biomotum.

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A guide to connected health device and remote patient monitoring vendors

Healthcare IT News - Telehealth

Connected health devices run the gamut from wearable heart monitors, to Bluetooth-enabled scales, to Fitbits. Biofourmis’ primary therapeutic focus areas include heart failure and other cardiometabolic disorders, pain, and oncology. The AI continuously runs algorithms on the patient’s profile to predict decompensation.