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
Alzheimer's Association International Conference
ORCATECH's director, Dr. Jeffrey Kaye, as well as others from ORCATECH will attend the 2017 AAIC Conference in London. Learn more about their upcoming presentations.
ORCATECH Council Meeting
Friday, September 8, 2017 9am - 1pm
Elephant's on Corbett
Contact Nora at email@example.com to RSVP
Adriana M. Seeley, Ph.D., Assistant Professor at the University of Minnesota, will present alongside Julie Robillard, Assistant Professor of Neurology at the University of British Columbia and Ian Dinwoodie, Assistant Professor of Mathematics and Statistics at Portland State University.
Led by ORCATECH and funded in part by the National Institutes of Health, the CART project uses in-home monitoring technologies and big data to analyze how aging adults can remain independent and healthy for as long as possible.
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
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.