Optimizing medication reminders using a decision-theoretic framework

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

doi:10.3233/978-1-60750-588-4-791

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 proceeding › Conference contribution

10 Scopus citations

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 language	English (US)
Title of host publication	Medinfo 2010 - Proceedings of the 13th World Congress on Medical Informatics
Publisher	IOS Press
Pages	791-795
Number of pages	5
Edition	PART 1
ISBN (Print)	9781607505877
DOIs	https://doi.org/10.3233/978-1-60750-588-4-791
State	Published - 2010
Externally published	Yes
Event	13th World Congress on Medical and Health Informatics, Medinfo 2010 - Cape Town, South Africa Duration: Sep 12 2010 → Sep 15 2010

Publication series

Name	Studies in Health Technology and Informatics
Number	PART 1
Volume	160
ISSN (Print)	0926-9630
ISSN (Electronic)	1879-8365

Other

Other	13th World Congress on Medical and Health Informatics, Medinfo 2010
Country/Territory	South Africa
City	Cape Town
Period	9/12/10 → 9/15/10

Keywords

Artificial intelligence
Home monitoring
Machine learning
Medication adherence
Reminders

ASJC Scopus subject areas

Biomedical Engineering
Health Informatics
Health Information Management

Access to Document

10.3233/978-1-60750-588-4-791

Cite this

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 Medinfo 2010 - Proceedings of the 13th World Congress on Medical Informatics (PART 1 ed., pp. 791-795). (Studies in Health Technology and Informatics; Vol. 160, No. PART 1). IOS Press. 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 et al.
Medinfo 2010 - Proceedings of the 13th World Congress on Medical Informatics. PART 1. ed. IOS Press, 2010. p. 791-795 (Studies in Health Technology and Informatics; Vol. 160, No. PART 1).

Research output: Chapter in Book/Report/Conference proceeding › Conference 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 Medinfo 2010 - Proceedings of the 13th World Congress on Medical Informatics. PART 1 edn, Studies in Health Technology and Informatics, no. PART 1, vol. 160, IOS Press, 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

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Optimizing medication reminders using a decision-theoretic framework

Abstract

Publication series

Other

Keywords

ASJC Scopus subject areas

Access to Document

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