Radio Frequency Identification Device

Evaluation and Integration of an Automatic Fall Prediction System - Final Report

Citation: 
Kearns W. Evaluation and Integration of an Automatic Fall Prediction System - Final Report. (Prepared by the University of South Florida under Grant No. R21 HS018205). Rockville, MD: Agency for Healthcare Research and Quality, 2012.
Principal Investigator: 
Kearns, William D.
Project Name: 
Evaluation and Integration of an Automatic Fall Prediction System

Impact of Meaningful Use on Clinical Workflow in Emergency Departments

Description: 

This project investigates how the Meaningful Use criteria affects the information seeking, team-interaction, and decisionmaking activities of emergency department clinicians at two urban hospitals.

Principal Investigator: 
Vimla L. Patel
Project Dates: 
September 30, 2014 to September 29, 2018

Path tortuosity in everyday movements of elderly persons increases fall prediction beyond knowledge of fall history, medication use, and standardized gait and balance assessments.

Citation: 
Kearns WD, Fozard JL, Becker M, et al. Path tortuosity in everyday movements of elderly persons increases fall prediction beyond knowledge of fall history, medication use, and standardized gait and balance assessments. J Am Med Dir Assoc 2012 Sep;13(7):665.e7-665.e13.
Principal Investigator: 
Kearns, William D.
Project Name: 
Evaluation and Integration of an Automatic Fall Prediction System

Smart rehabilitation for the 21st century: The Tampa Smart Home for veterans with traumatic brain injury.

Citation: 
Jasiewicz J, Kearns W, Craighead J, et al. Smart rehabilitation for the 21st century: The Tampa Smart Home for veterans with traumatic brain injury. J Rehabil Res Dev 2011;48(8):vii-xviii.
Principal Investigator: 
Kearns, William D.
Project Name: 
Evaluation and Integration of an Automatic Fall Prediction System

Wireless telesurveillance system for detecting dementia.

Citation: 
Kearns W, Nams V, Fozard J, et al. Wireless telesurveillance system for detecting dementia. Gerontechnology 2011;10(2):90-102.
Principal Investigator: 
Kearns, William D.
Project Name: 
Evaluation and Integration of an Automatic Fall Prediction System

Tortuosity in movement pats is related to cognitive impairment: Wireless Fractal estimation in assisted living facility.

Citation: 
Kearns WD, Nams VO, Fozard JL. Tortuosity in movement paths is related to cognitive impairment. Wireless fractal estimation in assisted living facility residents. Methods Inf Med 2010;49(6):592-8.
Principal Investigator: 
Kearns, William D.
Project Name: 
Evaluation and Integration of an Automatic Fall Prediction System

Real-Time Locating Systems (RTLS) to improve fall detection

Citation: 
Bowen ME, Craighead J, Wingrave CA, et al. Real-Time Locating Systems (RTLS) to improve fall detection. Gerontechnology 2010; 9(4):464-71.
Principal Investigator: 
Kearns, William D.
Project Name: 
Evaluation and Integration of an Automatic Fall Prediction System

Of falls and fractals: My career with my mentor, colleague and friend, Professor James L. Fozard.

Citation: 
Kearns WD. Of falls and fractals: My career with my mentor, colleague and friend, Professor James L. Fozard. Gerontechnology 2010 Summer;9(3):388-96.
Principal Investigator: 
Kearns, William D.
Project Name: 
Evaluation and Integration of an Automatic Fall Prediction System

Elder path tortuosity covaries with MMSE geographical orientation subscale.

Citation: 
Kearns WD. Elder path tortuosity covaries with MMSE geographical orientation subscale. Gerontechnology 2010;9(2): 176-7.
Principal Investigator: 
Kearns, William D.
Project Name: 
Evaluation and Integration of an Automatic Fall Prediction System

Tracking natural human movements identifies differences in cognition and health.

Citation: 
Kearns WD, Fozard JL. Tracking natural human movements identifies differences in cognition and health. In: Augusto JC, Huch M, Kameas A, et al, eds. Handbook of ambient assisted living-technology for healthcare, rehabilitation and well-being. Vol. 11. Amsterdam, NL: IOS Press; 2012. p. 331-45.
Principal Investigator: 
Kearns, William D.
Project Name: 
Evaluation and Integration of an Automatic Fall Prediction System