Upcoming Events

Partnerships In Clinical Trials 2015

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.

Partnerships In Clinical Trials 2015

Hamburg, Germany
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."

View All Upcoming Events

Featured Projects

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

ORCATECH participant with her computer

An ORCATECH Life Lab participant shares her research experience with The Strait Times.
Read The hot new demographic: Seniors.

More ORCATECH In the News

Recently Published

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.

Read the Article: "Are You Sure?": Lapses in Self-Reported Activities Among Healthy Older Adults Reporting Online

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.

Read the Article: Unobtrusive Measurement of Daily Computer Use to Detect Mild Cognitive Impairment

More ORCATECH Publications

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