holly jimison at consumer centric health, models for change '11
DESCRIPTION
Scalable Technology to Support Sustainable Health Behavior Change . Department of Medical Informatics, OHSUTRANSCRIPT
Consumer-Centric HealthModels for Change ‘11
Scalable Technology to Support
Sustainable Health Behavior Change
Holly Jimison, PhDDepartment of Medical
Informatics, OHSU
Scalable Approach to Delivering Interventions to the Home
Chronic conditions require sustained and dynamically tailored interventions
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
ORCATECH• Oregon Health & Science Univ
– Neurology– Biomedical Engineering– Medical Informatics– Point of Care Laboratory– Aging & Alzheimer's Disease
Center• Academic Partners
– Oregon State University– Portland State University– University of Oregon
• Industry PartnersIntel Spry Learning Co.
• Service PartnersEliteCare, IncPacific Retirement Services
• Other PartnersAARPOregon State GovernmentCAST
Oregon Center for Aging & Technology
Home Monitoring Data
Continuous Unobtrusive Monitoring
Fusion
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
Health Coaching Platform Architecture
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
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Cognitive Computer Games- embedded monitoring algorithms
Socialization Protocols for Cognitive Health
Web cams and Skype software given to participants and their remote family partner
Frequent spontaneous use among participants
Physical Activity Module
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Sleep Module
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Coach Interface
• All participant tasks assigned through this interface.
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Health Coaching Platform Architecture
Family Interface• Safety monitoring
• Soft alerts• Team-based care
• Socialization
ORCATECH 18
In-Home Cognitive Health Coaching Studies
Needs Assessment Foundational Studies
Adaptive Cognitive Games – 30 subjects Activity Home Monitoring – 250 subjects
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
