Scalable Intervention Technology for Older Adults
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Scalable Intervention Technology for Older Adults






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Scalable Intervention Technology for Older Adults Presentation Transcript

  • 1. Scalable Intervention Technology for Older Adults in the Home Holly Jimison, PhD Department of Medical Informatics, OHSUFunding: National Science Foundation, National Institute on Aging,Alzheimer’s Association, and the Intel Corporation
  • 2. 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
  • 3. Home Monitoring Data
  • 4. 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
  • 5. Modular Software for Multiple Protocols Cognitive Exercise (computer game format) Novelty exercise Physical Exercise Sleep Management Socialization Medication Management Mood Management
  • 6. Participant Home PageParticipant 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
  • 7. Coach Messaging• Messages from Coach • Messages to Coach 7
  • 8. Physical Activity Module 8
  • 9. Physical Activity Module-continued 9
  • 10. Sleep Module 10
  • 11. Socialization Module 11
  • 12. Socialization Protocols for Cognitive Health  Web cams and Skype software given to participants and their remote family partner  Frequent spontaneous use among participants
  • 13. Cognitive Computer Games - embedded monitoring algorithms
  • 14. Health Coaching Platform Architecture
  • 15. Health Coaching Platform Architecture Family Interface• Safety monitoring • Soft alerts •Team-based care • Socialization
  • 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% femaleORCATECH 16
  • 17. 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
  • 18. 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