Optimizing medication reminders using a decision-theoretic framework.
We discuss a new approach to patients' adherence to enhance to their medication-taking regimen by developing a context-aware alerting system that would optimize the expected utility of alerts. Each patient's instantaneous context is assessed using a real-time sensor network deploying a variety of sensors. The alerts are generated to optimize the expected value to the patient. This paper is focused on the initial assessment of the utility of alerts, including the tradeoff between effectiveness and annoyance.
Pavel
Misha
M
Oregon Health & Science University, Portland, OR, USA. pavelm@ohsu.edu
Jimison
Holly
H
Hayes
Tamara
T
Larimer
Nicole
N
Hagler
Stuart
S
Vimegnon
Yves
Y
Leen
Todd
T
Ozertem
Umut
U
D000368:Aged; D003142:Communication; D020000:Decision Support Systems, Clinical; D006801:Humans; D055118:Medication Adherence; D008962:Models, Theoretical; D010349:Patient Compliance; D004364:Pharmaceutical Preparations; D017010:Reminder Systems
D004364:Pharmaceutical Preparations