title: Optimizing medication reminders using a decision-theoretic framework.
abstract: 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.
authors.affiliation: Oregon Health & Science University, Portland, OR, USA. pavelm@ohsu.edu
authors.forename: Misha
authors.initials: M
authors.lastname: Pavel
authors.forename: Holly
authors.initials: H
authors.lastname: Jimison
authors.forename: Tamara
authors.initials: T
authors.lastname: Hayes
authors.forename: Nicole
authors.initials: N
authors.lastname: Larimer
authors.forename: Stuart
authors.initials: S
authors.lastname: Hagler
authors.forename: Yves
authors.initials: Y
authors.lastname: Vimegnon
authors.forename: Todd
authors.initials: T
authors.lastname: Leen
authors.forename: Umut
authors.initials: U
authors.lastname: Ozertem
mesh_terms: 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
chemical_list: D004364:Pharmaceutical Preparations