ORCATECH is transforming clinical research by developing and implementing technologies that unobtrusively collect data, allowing individuals to live longer and more safely at home. Learn more
ORCATECH Council Meeting
Friday, June 16, 2017 9am - 1pm
Elephant's on Corbett
Contact Nora (mattekn @ ohsu.edu) to RSVP
Dr. Melanie Fried-Oken, Professor of Neurology, Pediatrics, BME, ENT at OHSU will present on Assistive Technology R&D for people with communication impairments.
Dr. Jacqueline Kerr, Associate Professor of Family Medicine and Public Health at University of California, San Diego. Her research focuses on measurement, intervention and environmental correlates of physical activity and sedentary behavior in older adults.
The RITE Program
ORCATECH researchers want to know how computers can help us improve health care, and we need your help to find out!More about The RITE Program
Ambient Independence Measures for Guiding Care Transitions (AIMs)
Investigator: Jeff Kaye, M.D.
Read more about AIMs
New Investigator Projects: ORCATECH's New Investigators are working on several innovative projects.
More about New Investigator Projects
ORCATECH in the News
Self-Report Data Shows More Inaccuracy than Expected
Standard clinical care relies on self-reports to aid in assessment and management. A recent study by ORCATECH researchers examined the relationship between self-report and sensor-based measures of activity, and found that nearly a quarter of participants did not report activity that matched sensor firings. The findings suggest that capture of real-time events with unobtrusive activity monitoring may be a more reliable approach to describing behavioral patterns and meaningful changes in older adults.
Computer Use May Predict Cognitive Impairment
A recently published an article in Alzheimer's & Dementia highlights ORCATECH research where more than 230,000 computer sessions from 113 computer users (mean age, 85 years; 38 with Mild Cognitive Impairment, or MCI) were acquired during a mean of 36 months. Results indicate that computer use change can be monitored unobtrusively and may help to detect individuals with MCI.