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
Boca Raton, Florida
Oct. 8-11, 2015
ORCATECH's Judith Kornfeld, M.B.A., will look forward to meeting with any participants whom are interested in learning more about ORCATECH and the use of its technology in CNS clinical trials.
Nov. 17-19, 2015
ORCATECH's Judith Kornfeld, M.B.A., will be presenting "Remote monitoring in clinical trials: Getting closer to objective and actionable data."
Ambient Independence Measures for Guiding Care Transitions (AIMs)
Investigator: Jeff Kaye, M.D.
Read more about AIMs
Conversational Engagement Study (CES): Detecting changes in the levels of social engagement
Investigator: Hiroko Dodge, Ph.D.
Read more about CES
New Investigator Projects: ORCATECH's New Investigators are working on several innovative projects.
More about New Investigator Projects
Currently Recruiting: The RITE Program
Join ORCATECH's new new research study conducted completely on the Internet (from the comfort of your home!). 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
ORCATECH on the BBC
ORCATECH is featured on a BBC Horizons episode about the increasing pressure of expensive healthcare on our aging population. The episode features our Point of Care Lab and our work to see how more independent living could be supported in the future.
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.