Optimizing medication reminders using a decision-theoretic framework

Misha Pavel, Holly Jimison, Tamara Hayes, Nicole Larimer, Stuart Hagler, Yves Vimegnon, Todd Leen, Umut Ozertem

Research output: Chapter in Book/Report/Conference proceedingConference contribution

8 Citations (Scopus)

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.

Original languageEnglish (US)
Title of host publicationStudies in Health Technology and Informatics
Pages791-795
Number of pages5
Volume160
EditionPART 1
DOIs
StatePublished - 2010
Event13th World Congress on Medical and Health Informatics, Medinfo 2010 - Cape Town, South Africa
Duration: Sep 12 2010Sep 15 2010

Other

Other13th World Congress on Medical and Health Informatics, Medinfo 2010
CountrySouth Africa
CityCape Town
Period9/12/109/15/10

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Sensor networks
Sensors
Patient Compliance

Keywords

  • Artificial intelligence
  • Home monitoring
  • Machine learning
  • Medication adherence
  • Reminders

ASJC Scopus subject areas

  • Biomedical Engineering
  • Health Informatics
  • Health Information Management

Cite this

Pavel, M., Jimison, H., Hayes, T., Larimer, N., Hagler, S., Vimegnon, Y., ... Ozertem, U. (2010). Optimizing medication reminders using a decision-theoretic framework. In Studies in Health Technology and Informatics (PART 1 ed., Vol. 160, pp. 791-795) https://doi.org/10.3233/978-1-60750-588-4-791

Optimizing medication reminders using a decision-theoretic framework. / Pavel, Misha; Jimison, Holly; Hayes, Tamara; Larimer, Nicole; Hagler, Stuart; Vimegnon, Yves; Leen, Todd; Ozertem, Umut.

Studies in Health Technology and Informatics. Vol. 160 PART 1. ed. 2010. p. 791-795.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Pavel, M, Jimison, H, Hayes, T, Larimer, N, Hagler, S, Vimegnon, Y, Leen, T & Ozertem, U 2010, Optimizing medication reminders using a decision-theoretic framework. in Studies in Health Technology and Informatics. PART 1 edn, vol. 160, pp. 791-795, 13th World Congress on Medical and Health Informatics, Medinfo 2010, Cape Town, South Africa, 9/12/10. https://doi.org/10.3233/978-1-60750-588-4-791
Pavel M, Jimison H, Hayes T, Larimer N, Hagler S, Vimegnon Y et al. Optimizing medication reminders using a decision-theoretic framework. In Studies in Health Technology and Informatics. PART 1 ed. Vol. 160. 2010. p. 791-795 https://doi.org/10.3233/978-1-60750-588-4-791
Pavel, Misha ; Jimison, Holly ; Hayes, Tamara ; Larimer, Nicole ; Hagler, Stuart ; Vimegnon, Yves ; Leen, Todd ; Ozertem, Umut. / Optimizing medication reminders using a decision-theoretic framework. Studies in Health Technology and Informatics. Vol. 160 PART 1. ed. 2010. pp. 791-795
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