Data-driven pill monitoring

Craig C. Douglas, Li Deng, Gundolf Haase, Hyoseop Lee, Robert A. Lodder

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


We describe a viable dynamic system to guarantee that pills delivered to a patient are what were prescribed, of sufficient quality to be effective, and within the correct time frame. A handheld device that identifies pills is also described that is suitable for use by health care providers. Issues of patient privacy, network security, and interacting with multiple databases are inherent to the entire process.
Original languageEnglish (US)
Title of host publicationProcedia Computer Science
PublisherElsevier BV
Number of pages8
StatePublished - Jun 1 2010
Externally publishedYes

Bibliographical note

KAUST Repository Item: Exported on 2022-07-01
Acknowledged KAUST grant number(s): KUS-C1-016-04
Acknowledgements: This research was supported in part by NSF grants CNS-0719626 and ACI-0324876(and their successors) and Award No. KUS-C1-016-04, made by King Abdullah University of Science and Technology(KAUST).
This publication acknowledges KAUST support, but has no KAUST affiliated authors.


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