Aging in Place Technology Watch

SEPTEMBER 8, 2022

And their role tracking trips to the bathroom has been useful in detecting UTIs , identifying wanderers , alerting about sleep issues , noting whether a person has eaten. category tags: IoT and home monitoring , tech-enabled home care , Family caregivers.

Nursing 135

Nursing 135

Aging in Place Technology Watch

DECEMBER 28, 2022

Mrs. Jones has repeated UTIs, wanders at night – AI software has accumulated the patterns her behavior to enable intervention before the bad night time fall or exit from the premises. category tags: smartphones , smart home , AI and machine learning , Voice/AI/Voice Assistants , fall prevention, fall detection.

Medicare 144

Medicare Interoperability Nursing 144

Aging in Place Technology Watch

OCTOBER 5, 2022

And their role tracking trips to the bathroom has been useful in detecting UTIs , identifying wanderers , alerting about sleep issues , noting whether a person has eaten. category tags: IoT and home monitoring , robotics , Home Care , home health care , senior living , SNF. Welcome to iPad!

Nursing 69

Nursing 69

Aging in Place Technology Watch

JANUARY 12, 2020

Using AI, the solution further provides comprehensive wellness monitoring to automatically detect physical and mental deterioration, as well as predict evolving disease conditions (such as depression, dementia and UTI) based on behavioral symptoms." Learn more at Kytera. MedWand™ fulfills the potential of telemedicine. Learn more at Zibrio.

mHealth 121

mHealth Digital Health Telemedicine Telehealth 121

Aging in Place Technology Watch

JANUARY 10, 2019

CarePredict was the first-to-market to use machine learning, smart wearables, and unique kinematics to quantify daily activities performed by older adults and predict health conditions including increased fall risks, depression and urinary tract infections (UTIs.) Learn more at Care Predict. Learn more at Widex.

Digital Health 107

Digital Health 107

Aging in Place Technology Watch

JANUARY 10, 2019

CarePredict was the first-to-market to use machine learning, smart wearables, and unique kinematics to quantify daily activities performed by older adults and predict health conditions including increased fall risks, depression and urinary tract infections (UTIs.) Learn more at Care Predict. Learn more at Widex.

Digital Health 53

Digital Health 53