data-driven behavioral change and remote care monitoring for the elderly and care-in-the-community populations
What we do
Our discrete, inexpensive touch tags build a user's lifestyle and behavior profile.
We use this data to:
Improved mental stimulation
Lead a healthier lifestyle
Stylish emergency alarm watch
Preemptive health intervention
Real-time remote monitoring
Improved workflow prioritization
Behavior anomaly alerts
Early detect health decline
Macro data of elderly-at-home
Improved caregiver efficiency
Long-term cost savings
Our A.I. persona, Suni, interacts with the care receiver providing everything from fun quizzes to psychology-backed behavioral change interventions. She helps elders feel less lonely and helps them form healthier lifestyle habits.
(She'll even sing a song if asked nicely)
"Hey Gloria, the weather today is good. You watched a bit too much TV yesterday, so why not take a short walk?"
"Good afternoon, John. I've noticed you didn't touch your medicine box today. Please make sure you take your meds!"
"Hello Mrs. Thomas. How are you today? I've got a great new recipe. If you want to hear it, please touch your microwave within the next five minutes."
"Before using TouchCare, 50% of participants reported PHQ-9 ‘Mild Depression’, and the average depression score in the whole cohort was 4.8. After using TouchCare, those numbers reduced to 29% and 2.2 respectively. EQ5D and EQ-VAS quality of life scores improved significantly, too."
Kwon Yu-Jin, M.D. , Assistant Clinical Professor, Yonsei Severance Hospital, South Korea.