Scalable Intervention Technology for Older Adults in the Home Holly Jimison, PhD Department of Medical Informatics, OHSU Funding: National Science Foundation, National Institute on Aging, Alzheimer’s Association, and the Intel Corporation
Scalable Intervention Technology
for Older Adults in the Home
Holly Jimison, PhD
Department of Medical Informatics, OHSU
Funding: National Science Foundation, National Institute on Aging,
Alzheimer’s Association, and the Intel Corporation
Scalable Approach to Delivering Interventions to the Home
Remote, just-in-time, continuous care
Incorporate principles of health behavior
change
Optimal use of lower cost personnel
Integrate family & informal caregivers into the
health care team (untapped resource)
Platform for testing sustained interventions in
the home
Home Monitoring Data
Platform to Deliver a Scalable Coaching Intervention to the Home
System to facilitate a single coach in
managing a large number of clients
Semi-automated tailored messaging based on
home monitoring and self-report data
User assessment user model tailored
data sharing, action plan, coaching messages
Multiple modules – not single condition or
approach
Modular Software for Multiple Protocols
Cognitive Exercise (computer game format)
Novelty exercise
Physical Exercise
Sleep Management
Socialization
Medication Management
Mood Management
Participant Home Page
Participant home page
• Messages from coach
• Featured story
• Weekly goals
– Activities
– Surveys
• Access modules
– Physical Activity
– Sleep
– Socialization
– Novelty Mental Exercises
– Cognitive Games
• Coaching Process
• Participant Materials
6
• Messages from Coach
Coach Messaging
7
• Messages to Coach
Physical Activity Module
8
Physical Activity Module-continued
9
Sleep Module
10
Socialization Module
11
Socialization Protocols for Cognitive Health
Web cams and Skype software given to
participants and their remote family partner
Frequent spontaneous use among participants
Cognitive Computer Games - embedded monitoring algorithms
Health Coaching Platform Architecture
Health Coaching Platform Architecture
Family Interface
• Safety monitoring
• Soft alerts
•Team-based care
• Socialization
ORCATECH 16
In-Home Cognitive Health Coaching Studies
Needs Assessment
Coach Messaging Study
Ongoing Usability Testing
Feedback on Cognitive Games and Novelty Exercise
Current Coaching Study
20 participants in the ORCATECH Living Lab
20 additional participants from larger monitoring study
Average age 78.3 ± 7.8 years
70% female
Lessons Learned: Important Software Issues
User centered design – ease of use
Inference algorithms for assessing patient state and
context
Sophisticated User Models
Privacy / Security – tailored privacy models for
the sharing of home monitoring data
User models for tailoring interventions and
coaching messages
• Intelligent Interoperability
Summary: Benefits of Technology for Remote Coaching
Scalable approach to delivering interventions to the
home
Extends the reach of lower cost professionals
Community-based culturally-specific coach
Timely and continuous
Aim to keep people independent ( QoL & costs)
Integrates untapped resource of family and informal
caregivers into the care team
Tailors interventions to individuals
Integrates health and wellness interventions