Continuous activity monitoring and intelligent contextual prompting to improve medication adherence.
Poor medication adherence is a serious medical problem, particularly in older adults. Various solutions have been developed to remind people to take their medications, but these systems are usually simple time-based alarm systems that are not particularly effective. We describe a system that is context aware, and that utilizes information about past patterns of behavior plus the current context to provide prompts at the appropriate time and place. A case study from our initial deployment of the system to eleven older adults illustrates the possibilities and advantages of context aware prompting systems.
Lundell
Jay
J
Digital Health Group at Intel Corporation, 20270 NW, Amberglen Ct, AG1-102, Beaverton, OR 97229, USA. jay.lundell@intel.com
Hayes
Tamara L
TL
Vurgun
Sengul
S
Ozertem
Umut
U
Kimel
Janna
J
Kaye
Jeffrey
J
Guilak
Farzin
F
Pavel
Misha
M
D001185:Artificial Intelligence; D016903:Drug Monitoring / Q000295:instrumentation* / Q000379:methods; D004867:Equipment Design; D019544:Equipment Failure Analysis; D006801:Humans; D018670:Monitoring, Ambulatory / Q000295:instrumentation* / Q000379:methods; D009043:Motor Activity / Q000187:drug effects* / Q000502:physiology*; D010349:Patient Compliance; D014584:User-Computer Interface