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
July 23-28, 2016
ORCATECH's director, Dr. Jeffrey Kaye, as well as others from ORCATECH will be presenting at AAIC. Look out for the following sessions:
Saturday July 23 9am-4pm: Poster: Distance and Intimacy: An Ethnographic Analysis of the Strengths and Limitations of Video Telemedicine Care for Dementia
Saturday July 23 2:10pm-3:30pm & Monday July 25 4:15pm-5:45pm: Alzheimer's Care Via Telemedicine for Oregon (ACT-ON), Phase I: Establishing the Feasibility and Reliability of Standard Measures Used with Telemedicine
Sunday July 24 8am-9:30am: Advancing Clinical Trials Using Real-Time, Ecologically Valid Data Capture Methodology
Tuesday July 26 8am-8:20am: Pervasive Computing and Sensing Approaches to Assessing and Advancing Social Engagement Activities
Tuesday July 26 9:30am-4:15pm: Poster: Patterns of Home Computer Use Differ over Time Between Older Adults Destined to Develop Mild Cognitive Impairment and Those Who Remain Cognitively Intact
Thursday July 28 8:30am-10am: Ecologically Valid Assessment of Life Activities: Unobtrusive Continuous Monitoring with Sensors
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.