Resources
Websites and Publications
National
AAHSA – The American Association of Homes and Services for the Aging Technology Solutions
CAST – The Center for Aging Services Technologies
Oregon
ORCATECH – The Oregon Center for Aging & Technology
Intel Research – Digital Health Research
OHSU – Point of Care Laboratory
OHSU – Layton Aging & Alzheimer's Center
OSU – Center for Healthy Aging Research
Oregon Alliance of Senior and Health Services
Publications
State of Technology in Aging Services
Majd Alwan, Ph.D., Devon Wiley, Jeremy Nobel, M.D., M.P.H - November, 2007
Phase-1 This CAST report presents a vision for technology-enabled care along with a review of the available and under development safety, health and wellness and social connectedness technologies and their value to different stakeholders.
State of Technology in Aging Services According to Field Experts and Thought Leaders
Phase-2 features the results of expert interviews with thought leaders about opportunities for aging-services technologies, barriers to their proliferation and suggestions for overcoming these barriers.
Margaret E. Morris, Intel Research - October, 2007
Embedded assessment is a technology design strategy to drive preventive health care and early disease detection. This approach addresses barriers to early detection observed through ethnographic research. Health monitoring is integrated into everyday devices and then translated into personalized feedback that supports immediate wellness and long-term disease prevention.
In-Home Monitoring of Persons with Dementia: Ethical Guidelines
The Alzheimer’s Association - 2007
Innovative technologies are rapidly emerging that offer caregivers the support and means to assist older adults with cognitive impairment to continue living at home. Technology research and development efforts applied to older adults with dementia invoke special grant review and institutional review board concerns, to ensure not only safe, but also ethically appropriate interventions.
The Independent LifeStyle AssistantTM (I.L.S.A.): Lessons Learned
Tom Plocher, Honeywell Advanced Applications Laboratory - December, 2003
This paper describes the six-month study of the system fielded in elder’s homes and the major lessons learned during development.
Assistive Intelligent Environments for Automatic Health Monitoring
Daniel H. Wilson, Ph.D. Thesis, Robotics Institute,
This thesis contributes to the field of automatic health monitoring through a combination of intensive background study, efficient approaches for location and activity inference, a novel unsupervised data collection technique, and a practical activity rating application.