5,800,000+
Alzheimer’s disease has severely impaired the quality of life of 5.8M Americans. MapHabit™ works everyday to significantly enhance the quality of life for these individuals, their families, and their caregivers.
5,800,000+
Americans whose quality of life is destroyed
each year by Alzheimer’s disease.
Intuitive User Interface Meets Personalized Visual Maps
Individual
Clean & Simple Interface
Care Partner
Calendar & Safety Features
Individual Steps
Step-by-step instruction
Business Manager
Feature-rich management
Despite significant advances in research, treatments have stayed the same, aren’t always effective, and can have side effects. We blend technology and science to help people accomplish daily activities using visual maps that adapt to a person’s changing condition. Our personalized step-by-step guides simplify your day and help you live better.
%
Of healthcare professionals prefer visual mapping to traditional memory efforts.
*Additional Research in Process
Why MapHabit™ Works
The brain’s everyday memory system deteriorates rapidly after disease onset.
However, the habit learning system is preserved for a longer time and can support memory for routines and habits.
Functionality Timeline
2018
Current Functionality
Tablet/Smart Phone Access
-
Upload personalized content for maps
-
Easily add caregiver notes
Pictures, Audio, & Video
-
Add music, audio/video & pictures from favorite sites
Print-Outs
-
Convenient for non-technical users
2019
Future Functionality
Reminders
-
Visual & audio cues
-
Task completion alerts ease caregiver burden
Web Portal
-
Platform for family, caregiver, and medical staff interactions
Community Engagement
-
Social media tips for how memory works and preserving memory
-
Webcasts on Alzheimer’s and memory, protecting your cognitive functions, and much more
2020
Future Functionality
Spoken Commands
- Alexa, Siri, and Google Home integrations
Wearable/Smart Device Integration
-
On-the-go visual updates
-
Geo-tracking and biometric data collection
Big Data Analytics
-
EMR interoperability
-
Analysis of neural networks to predict healthcare outcomes